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Job DescriptionCommercial HVAC Service Technician – Lead Emergency Response & Complex System DiagnosticsJob Overview Company: Northern Wolves Inc. Salary/Pay Rate: $95,000 – $110,000 per year. Location: New York City Metropolitan Area. Job/Employment Type: Full Time. Schedule: Standard hours with mandatory availability for evenings, weekends, and emergency after-hours calls. Mandatory Licenses & Certifications: EPA Certification and a Valid Driver’s License. The Opportunity You will step into a high-impact role as the technical "first responder" for Northern Wolves Inc., taking ownership of critical service operations across New York City. This position offers the autonomy to master complex diagnostics and the responsibility of restoring essential climate systems for high-profile commercial clients. You are not just a technician; you are a vital problem-solver who thrives when the pressure is on and the solution isn't obvious. How You Will Make an Impact Lead independent diagnostic and repair efforts for diverse commercial HVAC systems in office buildings, schools, and retail spaces. Restore equipment operation under urgent conditions by identifying root causes in refrigeration, airflow, and electrical circuits. Execute high-level troubleshooting on VRF/VRV systems, rooftop units, and sophisticated commercial controls. Interpret complex wiring diagrams and mechanical drawings to perform precise system startups and commissioning. Communicate technical findings and follow-up recommendations clearly to both office staff and high-value customers. Support the estimating team by identifying large-scale repair scopes and necessary system upgrades during service visits. Maintain a high-functioning service vehicle and inventory to ensure readiness for immediate emergency deployment. Required Qualifications & Experience Minimum of 10 years of hands-on experience in commercial HVAC service and repair. Proven mastery of electrical troubleshooting including contactors, relays, sensors, and safeties. Advanced diagnostic proficiency in refrigeration circuits and system sequences. Documented experience servicing VRF/VRV systems, heat pumps, and air handlers. Ability to operate with total independence in the field while maintaining a professional presence. Preferred Qualifications & Experience Specialized manufacturer training with Mitsubishi Electric, Daikin, Trane, Carrier, or Honeywell. Working knowledge of boiler service and basic chiller operations. Experience navigating the specific building codes and logistical demands of the NYC metropolitan area. Compensation & Benefits Weekly pay cycle. Comprehensive paid time off including holidays, vacation, and sick days. Company vehicle and mileage reimbursement provided. Tech package including a smartphone or tablet for real-time service reporting. Access to paid training and professional certifications. Company-provided uniforms and regular team events. About Us Northern Wolves Air Conditioning is a premier provider of complex commercial mechanical solutions where every team member is a key player. We foster a culture of craftsmanship and accountability, empowering our professionals to lead high-profile projects and build long-term careers. Learn more at www.northernwolvesac.com. Northern Wolves Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender expression, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or any other status protected by law or regulations. It is our intention that all qualified applicants be given equal opportunity and that selection decisions be based on job-related factors.

Job DescriptionBenefits: • 401(k), • Employee discounts, • Paid time off Benefits/Perks • Flexible Scheduling, • Competitive Compensation, • Career Advancement OpportunitiesJob Summary: We are looking for a skilled and experienced HVAC Technician to join our team! In this role, you will install, service, or repair heating and air conditioning systems in 85% residences or 15% commercial establishments. Job Description: Mazgan A.C. & Heating Repair is hiring a skilled HVAC technician with experience in both heating and air conditioning systems. We stay busy all year long heating in the winter, A/C in the summer, and steady service work in between. No slow seasons. Were looking for someone who can diagnose, repair, and install with confidence. Responsibilities: • Diagnose, repair, and maintain:, • Gas boilers (steam & hydronic), • Tank and tankless water heaters, • Central A/C and ductless mini-split systems, • Heat pump systems, • Perform electrical, refrigerant, and airflow troubleshooting, • Install and replace HVAC equipment, • Work with pumps, expansion tanks, zone valves, line sets, • Perform flushing, descaling, charging, and pressure testing, • Communicate clearly with customers and explain optionsRequirements:, • 25+ years HVAC experience, • Strong in both heating and A/C systems, • Ability to troubleshoot independently, • Valid drivers license, • Reliable and ready to workWhat We Offer:, • Strong pay based on experience, • Steady work all year (no slow season), • Growth opportunity, • Solid team environmentPreferred (not required):, • Experience with hydronic systems and controls (Tekmar, Taco, etc.), • EPA Certification, • Experience with gas piping and venting systemsQualifications:, • Past experience as an HVAC service technician or comparable education, • Valid Drivers License, • EPA Certification, • Experience with operation and maintenance of chillers, heat pumps, air handlers, and geothermal systems, • Ability to climb ladders, crawl, and lift 40 pounds This is a remote position.

Principal Quant Developer The Role The Quantitative Research & Investing Technology (QRIT) team within Fidelity's Asset Management Technology group is seeking a highly motivated and curious Principal Quantitative Developer. In this role you will contribute to a dynamic and fast-paced development team supporting researchers in prototyping and delivering new systematic investment strategies. You will provide high impact solutions on various projects including alpha research, portfolio construction, and risk management. Your technology knowledge covers a broad spectrum of technologies, including R, Python, and PL/SQL databases, positioning you as a full-stack software engineer who capitalizes on enterprise technology. You are committed to constructing high-quality, scalable, robust, resilient and efficient analytical and software solutions that propel investment processes forward. You will possess: • A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role., • Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role., • This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques. The Expertise and Skills You Bring Core Engineering • Expert in Python with experience across the development stack (full stack), • Exposure to object-oriented programming (OOP) and design patterns, • Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies, • A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability Data & Infrastructure • Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph, • Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask), • Proven ability to construct and manage robust data pipelines and event-driven workflows, • Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2 DevOps & CI/CD • Experience in containerization with Docker and orchestration with Kubernetes, • Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub, • Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management MLOps & AI Infrastructure • Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning), • Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models, • Familiarity with experiment tracking and model versioning tools (e.g., MLflow), • Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics, • Awareness of responsible AI governance practices, • Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset Quantitative & Domain Knowledge • Demonstrated knowledge of mathematics, statistics, and quantitative finance, • Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis, • Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms, • Domain knowledge in either equities, fixed income or alternative asset classes, • Progress towards CFA (or equivalent) a plus Collaboration & Communication • Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals, • Strong problem-solving skills, with a proven ability to work effectively in cross-functional teams, • A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community, • Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation, • Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace, • Demonstrates eagerness and aptitude for rapidly adopting new frameworks, technologies, and best practices The Team The Quant Development team is part of Asset Management's Quantitative Research & Investment Technology group. We partner with Asset Management's Advance Strategies and Research team on cutting edge projects including systematic investment strategies, portfolio construction, risk management, alpha research, and GenAI. We build high quality, robust, and highly-scalable solutions that are used to improve Asset Management's efficiency and decision-making processes. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of _ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Information Technology

Job Description Revit Mechanicals is seeking an experienced Commercial HVAC Master Mechanic to lead and operate within our commercial HVAC maintenance division. This is a hands-on leadership role for a highly skilled mechanic who can supervise a maintenance team while actively working in the field servicing commercial HVAC systems. The ideal candidate is a strong leader with extensive commercial HVAC experience, excellent troubleshooting abilities, and the capability to manage technicians while ensuring high-quality service and customer satisfaction. Responsibilities: • Lead and supervise commercial HVAC maintenance technicians in the field, • Perform hands-on service, maintenance, troubleshooting, and repairs on commercial HVAC systems, • Diagnose mechanical, electrical, airflow, and control-related issues, • Coordinate daily service schedules and field operations, • Ensure projects and service calls are completed safely and efficiently, • Communicate directly with property managers, building engineers, and clients, • Train and mentor junior technicians and mechanics, • Maintain accurate service reports and documentation, • Ensure compliance with OSHA and company safety proceduresCompany DescriptionRevit Mechanicals is a young but fast-growing commercial HVAC company servicing New York City and Northern New Jersey. We specialize in commercial HVAC installation, maintenance, and repair for office buildings, retail spaces, residential towers, and commercial facilities. Our company is built on professionalism, reliability, and quality workmanship. We are committed to creating long-term opportunities for hardworking employees who want to grow with a company that is expanding rapidly throughout the commercial HVAC industryRevit Mechanicals is a young but fast-growing commercial HVAC company servicing New York City and Northern New Jersey. We specialize in commercial HVAC installation, maintenance, and repair for office buildings, retail spaces, residential towers, and commercial facilities. Our company is built on professionalism, reliability, and quality workmanship. We are committed to creating long-term opportunities for hardworking employees who want to grow with a company that is expanding rapidly throughout the commercial HVAC industry

Job Description Essential HVAC Installer Duties & Responsibilities The primary function is the installation of new or replacement HVAC systems (furnaces, air conditioners, heat pumps, air handlers, etc.) in residential or commercial settings. System Installation: Installing heating, cooling, and ventilation equipment according to manufacturer specifications and company requirements. Ductwork: Fabricating and installing sheet metal and flex duct systems, vents, and air distribution components. Piping & Wiring: Installing copper refrigerant lines (including brazing and soldering), properly connecting gas lines, and wiring both low and high voltage to the equipment. Blueprint Reading: Interpreting blueprints, schematics, and technical diagrams to plan system layouts and complete installations correctly. Performance Testing: Performing system start-ups and testing performance, checking refrigerant levels, airflow, and calibrating thermostats. Compliance: Ensuring all installations comply with local, state, and federal codes, including proper safety procedures and refrigerant handling regulations. Customer Interaction: Explaining the system operation and maintenance to the customer and ensuring a high level of satisfaction. Logistics: Pre-measuring jobs to determine material needs, verifying, loading, and stocking company vehicles with equipment and parts. ✨ Key Skills and Qualifications Required Skills & Qualifications Technical: • Proficiency with hand and power tools, • Strong mechanical aptitude and problem-solving skills, • Ability to read and interpret technical documents Physical: • Physical ability to lift heavy equipment (up to 50-100 lbs), • Comfort working in confined spaces (attics, crawl spaces) and on roofs/ladders, • Ability to work in various weather conditions and extreme temperatures Professional: • Valid NJ driver's license, • Must have 4 years of experience, • Excellent customer service and communication skills, • High level of attention to detail and commitment to safety, • Ability to work independently and as part of a team We value our team and are committed to supporting your long-term financial well-being. Following one year of continuous employment with our company, you will become eligible for enhanced benefits.

Build scalable enterprise data platforms for Fortune-level clients across AWS and Snowflake This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $205,000 per year A bit about us: We are a leading modern data consultancy helping enterprise organizations solve complex data engineering, cloud, analytics, and AI challenges. Our teams partner with major cloud platforms and technologies including Snowflake, AWS, Azure, Databricks, dbt, Kafka, Fivetran, and more to deliver enterprise-scale solutions for some of the world’s largest organizations. Our company operates in a remote-first environment across the United States, Latin America, and India. We are growing rapidly and continue to invest heavily in cloud engineering, data modernization, AI innovation, and enterprise analytics solutions. Why join us? Competitive compensation: $170K–$225K base salary + bonus Remote-first environment with occasional customer-site travel Work with cutting-edge cloud technologies including AWS, Snowflake, PySpark, Databricks, Kafka, and Airflow Opportunity to own strategic customer relationships and enterprise architecture initiatives Fast-growing organization with strong career growth opportunities Award-winning culture focused on collaboration, autonomy, innovation, and professional development 4 weeks PTO, strong healthcare benefits, 401(k), certifications, and training opportunities Job Details We are seeking a Solutions Architect with a strong hands-on background in Data Engineering, Cloud Architecture, and enterprise-scale modern data platforms. This role combines deep technical architecture responsibilities with customer-facing consulting, solution design, and strategic account leadership. The ideal candidate will have strong expertise in AWS, PySpark, and Snowflake while also being comfortable operating as a trusted advisor for enterprise clients. What You’ll Do: Technical Leadership Architect and design enterprise cloud-native data platforms and engineering solutions Lead solution design, discovery sessions, assessments, and technical roadmaps Design scalable, secure, and high-performing data solutions leveraging AWS, Snowflake, and PySpark Guide implementation teams through complex data engineering initiatives Mentor engineers and architects across multiple customer engagements Lead technical discussions around streaming, orchestration, lakehouse, migration, and analytics architectures Client Engagement & Strategic Consulting Build strong executive and stakeholder relationships across enterprise accounts Identify opportunities to expand services and deepen strategic partnerships Lead technical presentations, architecture reviews, RFP responses, and solution proposals Translate complex business requirements into scalable technical solutions Act as a trusted technical advisor for enterprise customers What You Bring: 8+ years of experience in Solutions Architecture, Data Engineering, or client-facing cloud architecture roles Strong hands-on expertise with: o AWS o PySpark o Snowflake Strong experience designing enterprise cloud-native data platforms Advanced SQL, data modeling, and data engineering experience Experience with cloud-native technologies such as Kafka, Airflow, Databricks, dbt, Fivetran, or Matillion preferred Strong client-facing communication and consulting experience Experience leading technical teams and mentoring engineers Strong Python development experience preferred Bachelor’s degree in Computer Science or related field preferred Important Requirement Candidates must be authorized to work in the United States without sponsorship now or in the future Unable to provide visa sponsorship or C2C arrangements for this opportunity Preferred Background: Experience within consulting, professional services, or customer-facing technical environments Experience supporting enterprise-scale cloud migrations and modernization initiatives Snowflake or AWS certifications strongly preferred Experience with streaming, lakehouse, medallion architecture, or AI/ML data platforms preferred Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Tech unicorn hiring Senior Data Engineer / Generous pay + benefits This Jobot Job is hosted by: Christine McNamara Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $120,000 - $160,000 per year A bit about us: We are seeking a highly skilled Senior Data Engineer to join our Data & Analytics team. This individual will play a critical role in designing, building, and scaling modern data pipelines and architectures to support enterprise analytics, reporting, and data products. The ideal candidate has deep expertise in ELT development, dimensional modeling, and modern cloud data platforms, with a strong focus on performance, scalability, and data quality. This is a highly technical, hands-on role with significant ownership across the data lifecycle—from ingestion through curated data marts. Why join us? Annual performance bonus Medical, dental, vision coverage 401k with 4% match Unlimited PTO Remote flexibility Competitive compensation packages Job Details Qualifications: Required: Bachelor’s degree in Computer Science, Engineering, or equivalent experience 5+ years of experience building ELT pipelines in a Data Warehouse environment Strong experience with dimensional data modeling (Kimball, Data Vault, Medallion) Hands-on expertise with: o dbt o Airflow or Dagster Strong experience with: o Snowflake or similar cloud data warehouses o Distributed data systems o Kubernetes environments Deep understanding of: o Append-only data modeling & point-in-time data structures o Column-oriented / analytical SQL modeling Strong proficiency in: o Python o SQL Experience implementing: o Test-driven development (TDD) for data pipelines o Git-based workflows and CI/CD best practices Preferred: Experience working within modern data mesh or data platform architecture Exposure to real-time or streaming pipelines Experience supporting large-scale analytics or BI environments Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Please send current resumes directly to bhagyashree.yewle@yoh.com Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG https://www.linkedin.com/in/bhagyashreeyewle/ Contract Role - Open to CTC and W2 contractors! Location: Jersey City, NJ, Hybrid 3 days a week in the office is MUST MUST HAVE SKILLS • 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments, • the role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment., • This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup., • Given these requirements, we are looking for someone with deeper, practical experience in dbt and Airflow within Kubernetes-based, on-prem environments. We are seeking a highly skilled Senior Data Engineer with 8-10+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift). This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments. Required Skills & Qualifications: • 10+ years of professional experience in data engineering, analytics engineering, or platform engineering roles, • Proven experience designing and supporting enterprise-scale data platforms in production environments, • Expert-level Apache Airflow (DAG design, scheduling, performance tuning), • Expert-level DBT Core (data modeling, testing, macros, implementation), • Strong proficiency in Python for data engineering and automation, • Deep understanding of Kubernetes and/or OpenShift in production environments, • Extensive experience with distributed workload management and performance opti Estimated Min Rate: $70.00 Estimated Max Rate: $80.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs, • Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice

Cover Letter Required Abraxas Energy Consulting, LLC, a subsidiary of Hillmann Consulting, LLC, is a nationwide energy auditing and consulting firm that provides energy assessments, training, and software tools to assist facilities in reducing energy and water waste. Together, Abraxas and Hillmann can provide customized Energy Analysis, Energy Accounting, Environmental Health and Safety, Remediation Support, Real Estate Due Diligence, Geotechnical, and Laboratory Analysis services. Abraxas and Hillmann deliver consulting with an uncompromising commitment to customer service, safety, and increasing value and quality to our clients. Abraxas has an immediate opening for an experienced Energy Engineer for nationwide coverage out of the Union, NJ area to lead facility energy and water assessments and provide other energy consulting services. Typical assignments will include leading on-site energy and water assessments, retro-commissioning activities, field measurement and verification, and field diagnostic testing/deployment. The Energy Engineer is expected to be capable of leading an energy audit following ASHRAE’s Level 2 energy audit methodology for most facilities independently from start to finish. However, the Energy Engineer is also expected to work in small teams when necessary on larger projects and to facilitate mentorship of more junior team members. This position requires a high level of individual initiative, responsibility, work ethic and time management skills to meet shifting and overlapping project deadlines. The work will involve regular interaction with clients in person, on the phone, and via email. The Energy Engineer will work with team members to request information, solicit feedback, and clearly define project responsibilities is crucial. The Energy Engineer will also need to communicate with their peers and Project Managers regarding their schedule, roadblocks to their work, and additional support that may be required. Responsibilities: Field Tasks The tasks will range in complexity from one day walk thru site visits to investment grade energy audits to identify energy reduction opportunities in lighting, HVAC, building envelope, water, renewables, controls, and other energy and water using systems. • Conduct/lead detailed energy surveys of facilities ranging from simple office or multifamily properties to complex high-rise offices, manufacturing, and/or other energy intensive buildings., • Lead building retro-commissioning activities including functional performance testing and monitoring of equipment., • Lead measurement and verification field work including visual verification, sampling strategies, and complex field measurements., • Conduct energy audits., • Adapt to varying field data collection techniques including handwritten notes, tablet-based tools, photo logging, review of as-built drawings, review of building control systems, use of measurement devices and hand tools, etc., • Deploy field diagnostic equipment such as wireless monitoring systems, data loggers, flow meters, power loggers, multimeters, temperature devices, air flow meters, manometers, lighting meters, current transducers, appropriate personal protective equipment (PPE), hand tools, etc. Analysis • Keep current with new energy efficiency technologies and strategies., • Analyze and evaluate results from measurements including interval energy data, lighting readings, etc., • Interpret, and tabulate information from facility mechanical and electrical drawings such as lighting fixture counts, mechanical equipment ratings/locations, piping diagrams, etc., • Interpret control strategies and sequences. Analyze and propose optimum strategies for all types of energy using equipment., • Complete detailed energy allocations that predict with reasonable accuracy the breakdown of major energy users in a building., • Evaluate operations and maintenance savings and estimate the cost to implement energy conservation measures., • Exercise experience and research to scope energy improvements to building systems in detail and quantify accurate installed cost estimates., • Communicate with and obtain vendor quotes for proposed improvements as needed., • Complete life-cycle cost analysis for energy improvement projects., • Perform energy and economic analysis of energy efficiency measures using energy modeling software, spreadsheets and other tools. Reporting and Presentation • Document and communicate the results of energy audits through written reports, PowerPoint presentations, meetings, and conference calls., • Meet with clients and team members to discuss energy efficiency measures., • Keep current with new energy efficiency technologies and strategies., • Convey technical concepts and recommendations in a clear, concise, and meaningful way. Other • Review the work of more junior Auditors and Energy Analyst assigned to your own projects and ensure all tasks are completed accurately., • Mentor and train supporting Energy Analyst and Auditor in how best to support the engineering project., • Conduct peer review of other engineers’ work., • Conduct scoping assessments to evaluate client facilities for potential work with Abraxas, • Support business development through technical input on proposals, quotes, capabilities, etc., • Support operations with the optimization of processes and development and improvement of tools, templates, resources, and training content. This job has no supervisory responsibilities. Minimum Qualifications (Education, Skills, and Experience): Meeting these qualifications will make you eligible for a starting salary at the low end of the posted range: • Preferred: Bachelor of Science Degree in Mechanical Engineering, Electrical Engineering, or other four-year STEM degree AND 3+ years of experience in the analysis of energy using systems in existing buildings., • Minimum: 2-year technical, math, or science degree AND 5-10+ years pf experience in the analysis of energy using systems in existing buildings., • Mastery of the English language – written and spoken., • Advanced competency with Microsoft Excel and Microsoft Word and ability to improve., • Experience surveying and analyzing the operation of complex mechanical and electrical systems in buildings and their associated control algorithms., • Experience writing detailed energy audit and engineering reports including conveying as-found conditions and recommended capital improvements., • Experience with the application of advanced mathematical concepts to energy use analysis in buildings., • Experience presenting the results of an energy audit or re-commissioning project to small groups of stakeholders. Additional Valuable Qualifications: Meeting these qualifications may make you eligible for a starting salary at the high end of the posted range: • 7+ Years of related experience, • NABCEP Certification: PV Installation Professional (PVIP), PV Design Specialist (PVDS), or PV Installer Specialist (PVIS), • Professional Engineer license in any state., • A certification in any of the following: Certified Energy Manager, Certified Lighting Efficiency Professional, LEED Accreditation, Certified Energy Auditor, Building Performance Institute, HERS Rater., • Experience with self-performing advanced field measurements in existing buildings including: spot and long-term power measurements, 3 phase power measurements, airflow duct traverses, ultrasonic flow metering, combustion gas analysis, airflow hood testing, thermal imaging, non-destructive envelope measurements, etc., • Experience in new construction and/or existing building commissioning., • Experience developing energy simulation models with DOE-2, eQUEST, TRANE TRACE 700, TRACE 3D or similar programs., • Experience creating measurement & verification plans for energy projects. TRAVEL - While many project assignments are local or regional, the Energy Auditor should expect to be gone from home 5-7 nights per month on average. Abraxas reimburses all travel expenses according to the company’s Travel and Expense Policy. Benefits: Abraxas Energy Consulting, LLC and Hillmann Consulting, LLC are committed to the professional development and well-being of our employees. The following benefits are offered to employees: · Competitive salary · Paid vacation and sick leave · Medical, dental, and vision insurance · Employer-401(k) Plan · Tuition assistance · Volunteer time off Abraxas Energy Consulting, LLC is an equal opportunity employer.

Ettinger Engineering Associates (EEA), a leader in sustainable MEP/FP and civil engineering design, is seeking a mid- to senior-level Passive House Specialist to lead and deliver high-performance building projects across our growing portfolio. This role goes beyond modeling – you’ll lead projects from early design through construction, driving performance, coordinating teams, and ensuring what gets built meets Passive House certification and energy targets. Salary: $75,000.00 - $130,000.00 per year Key Responsibilities • Manage large-scale multifamily high-performance and Passive House projects from design through construction., • Lead Passive House (PHI/PHIUS) certification efforts, including documentation, modeling, and QA/QC., • Advise project teams on Passive House and sustainability strategies, including building systems, enclosure assemblies, materials, constructability, and site improvements., • Recommend energy efficiency and resiliency strategies supported by engineering analysis, building science, and simulation tools., • Perform and/or oversee energy modeling (PHPP, WUFI Passive, THERM, Flixo, or equivalent) to evaluate and validate design decisions., • Track and manage multiple projects simultaneously, coordinating with internal staff and external design and construction teams to maintain schedule and performance targets., • Conduct architectural and engineering design reviews and provide clear, actionable feedback to project teams., • Review drawings, specifications, and construction submittals for compliance with Passive House, energy codes, and program requirements., • Advise on certification pathways and requirements, including Passive House, ENERGY STAR, Enterprise Green Communities, and LEED., • Perform construction-phase services including site inspections, field verification, and performance testing oversight., • Maintain working knowledge of evolving technologies, materials, and best practices in high-performance building design., • Stay current with ASHRAE standards, NYC/NYS energy codes, and incentive programs (e.g., NYSERDA, HPD, HCR)., • Prepare and manage documentation for program compliance and coordinate with certifiers and program administrators., • Contribute to improving internal tools, workflows, and deliverables through proactive problem-solving and process refinement. Minimum Qualifications • Bachelor’s or Master’s degree in architecture, engineering, building science, or a related field., • PHIUS CPHC or PHI Certified Passive House Designer required., • 5+ years of experience in high-performance building design and project management., • Proven experience delivering Passive House or equivalent high-performance projects through construction., • Strong understanding of building enclosure systems, air barriers, thermal bridging, and mechanical systems integration., • Ability to manage multiple projects and communicate effectively with diverse teams., • Experience with PHPP, WUFI Passive, THERM, or similar tools. Preferred Qualifications – Field Testing and Verification • Hands-on experience with blower door testing (whole-building and compartmentalization)., • Experience with enclosure air leakage testing and ASTM and Passive House protocols., • Familiarity with duct leakage testing and airflow verification., • Experience conducting or interpreting infrared thermography (IR scanning)., • Knowledge of ventilation commissioning and balancing (ERV/HRV systems)., • Experience performing construction inspections to verify air barrier continuity, insulation quality, and system installation., • Ability to diagnose and resolve field performance issues to meet certification targets.

Please send current resumes directly to bhagyashree.yewle@yoh.com Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG https://www.linkedin.com/in/bhagyashreeyewle/ Contract Role - Open to CTC and W2 contractors! Location: Jersey City, NJ, Hybrid 3 days a week in the office is MUST MUST HAVE SKILLS • 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments, • the role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment., • This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup., • Given these requirements, we are looking for someone with deeper, practical experience in dbt and Airflow within Kubernetes-based, on-prem environments. We are seeking a highly skilled Senior Data Engineer with 8-10+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift). This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments. Required Skills & Qualifications: • 10+ years of professional experience in data engineering, analytics engineering, or platform engineering roles, • Proven experience designing and supporting enterprise-scale data platforms in production environments, • Expert-level Apache Airflow (DAG design, scheduling, performance tuning), • Expert-level DBT Core (data modeling, testing, macros, implementation), • Strong proficiency in Python for data engineering and automation, • Deep understanding of Kubernetes and/or OpenShift in production environments, • Extensive experience with distributed workload management and performance opti Estimated Min Rate: $70.00 Estimated Max Rate: $80.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs, • Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice

Ettinger Engineering Associates (EEA), a leader in sustainable MEP/FP and civil engineering design, is seeking a mid- to senior-level Passive House Specialist to lead and deliver high-performance building projects across our growing portfolio. This role goes beyond modeling – you’ll lead projects from early design through construction, driving performance, coordinating teams, and ensuring what gets built meets Passive House certification and energy targets. Key Responsibilities • Manage large-scale multifamily high-performance and Passive House projects from design through construction., • Lead Passive House (PHI/PHIUS) certification efforts, including documentation, modeling, and QA/QC., • Advise project teams on Passive House and sustainability strategies, including building systems, enclosure assemblies, materials, constructability, and site improvements., • Recommend energy efficiency and resiliency strategies supported by engineering analysis, building science, and simulation tools., • Perform and/or oversee energy modeling (PHPP, WUFI Passive, THERM, Flixo, or equivalent) to evaluate and validate design decisions., • Track and manage multiple projects simultaneously, coordinating with internal staff and external design and construction teams to maintain schedule and performance targets., • Conduct architectural and engineering design reviews and provide clear, actionable feedback to project teams., • Review drawings, specifications, and construction submittals for compliance with Passive House, energy codes, and program requirements., • Advise on certification pathways and requirements, including Passive House, ENERGY STAR, Enterprise Green Communities, and LEED., • Perform construction-phase services including site inspections, field verification, and performance testing oversight., • Maintain working knowledge of evolving technologies, materials, and best practices in high-performance building design., • Stay current with ASHRAE standards, NYC/NYS energy codes, and incentive programs (e.g., NYSERDA, HPD, HCR)., • Prepare and manage documentation for program compliance and coordinate with certifiers and program administrators., • Contribute to improving internal tools, workflows, and deliverables through proactive problem-solving and process refinement. Minimum Qualifications • Bachelor’s or Master’s degree in architecture, engineering, building science, or a related field., • PHIUS CPHC or PHI Certified Passive House Designer required., • 5+ years of experience in high-performance building design and project management., • Proven experience delivering Passive House or equivalent high-performance projects through construction., • Strong understanding of building enclosure systems, air barriers, thermal bridging, and mechanical systems integration., • Ability to manage multiple projects and communicate effectively with diverse teams., • Experience with PHPP, WUFI Passive, THERM, or similar tools. Preferred Qualifications – Field Testing and Verification • Hands-on experience with blower door testing (whole-building and compartmentalization)., • Experience with enclosure air leakage testing and ASTM and Passive House protocols., • Familiarity with duct leakage testing and airflow verification., • Experience conducting or interpreting infrared thermography (IR scanning)., • Knowledge of ventilation commissioning and balancing (ERV/HRV systems)., • Experience performing construction inspections to verify air barrier continuity, insulation quality, and system installation., • Ability to diagnose and resolve field performance issues to meet certification targets. Come join Ettinger Engineering and work in a growing, fast-paced, open/friendly environment where your contributions are always recognized. Send resume labeled with first and last name Candidates must be authorized to work in The United States No Phone Calls Visit our website at: www.ettingerengineering.com Equal Opportunity Employer Job Type: Full-time Pay: $75,000.00 - $130,000.00 per year Benefits: • 401(k), • 401(k) matching, • Dental insurance, • Health insurance, • Life insurance, • Paid time off, • Parental leave, • Professional development assistance, • Vision insurance Work Location: Hybrid remote in New York, NY 10018

About Vector3 Vector3, Inc., is an incident response firm supporting TMHCC Cyber and Professional Lines Group (CPLG) Vector3 specializes in responding to Business Email Compromise (BEC) and Ransomware incidents, helping insured organizations investigate, contain, and recover from cyber related incidents. Building on our success in incident response, we are launching a Managed Detection and Response (MDR) service designed to protect our DFIR clients from future incidents. The MDR program will deliver proactive monitoring, detection, and prevention solutions - powered by tools like Sophos EDR/NDR, Microsoft 365, and Google Workspace. Job Summary Join us as a Software Engineer, DFIR and take a role in shaping our digital forensics and incident response practice for TMHCC-CPLG insureds. In this position, you'll combine technical expertise to drive complex engineering initiatives that enhance the scale, speed, and precision of our investigations. You'll join a team of talented engineers through hands-on problem-solving, build scalable solutions for evolving threats, and help refine our consulting capabilities. Key Responsibilities Intro Relying on experience and knowledge, this role is responsible for accomplishing the following assignments. These assignments are varied in nature: Leadership and Mentorship: • Assign tasks, delegate responsibilities, and provide mentorship to team members., • Support development and maintenance of operating procedures and best practices for engineering team., • Maintain positive, professional insured/carrier relationships., • Foster a culture of innovation, continuous learning, and skill development within the engineering team. Client Management and Engagement: • Understand insured needs and tailor strategies to address specific business risks and compliance requirements., • Communicate complex engineering concepts internally and externally. Incident Engineering Operations: • Develop and maintain engineering automation in support of incident response plans aligned with industry best practices. Technical Experience: • Stay informed about emerging engineering technologies and industry best practices., • Understand and be aware of digital forensics methodologies for evidence collection, analysis, and reporting., • Provide expert technical guidance on engineering methodologies, automation techniques, software development and recovery techniques., • Occasionally, support complex digital forensic investigations, including analysis of system logs, network traffic, and endpoint data. Competencies Planning • Follow work plans, established timelines, and predefined goals for assigned work., • Meet commitments on deadlines. Communication • Communicate activities, results, and observations with employees and management as appropriate. Cost Management • Identify areas for improvement in existing business practices., • Perform work thoroughly in a cost-efficient manner and at a high productivity level. Business Controls and Policies • Comply with all corporate policies and procedures., • Report any breakdowns in controls to management., • Conduct all activities in a safe manner. People Management • No people management responsibility, • Education Requirements Minimum 4 year / bachelor's degree in cyber security, Computer Science, Information Technology related degree or relevant professional work experience Certification, Licenses, and Designations 2 years in leading active cybersecurity engagements, developing security automation and/or SOAR capabilities in support of security incident response, digital forensics, malware analysis or threat intelligence Advanced degrees or certifications in security (CISSP, CISM, GCFE, GCFA, GREM, GBFA, GCIH, CFCE, CCE) or cloud engineering (AWS Certified Security, Azure Security Engineer, Google Professional Cloud Security Engineer, CCNA, MCSE are a plus. Other • Experience with CI/CD platforms and maintenance, such as Github Actions, ArgoCD, and FluxCD., • Experience with relational database administration, SQLAlchemy, SQLModel, and full stack application development., • Experience developing and running containerized services within AWS., • Programming experience in Bash, Python, PowerShell, or Go., • Experience with Rust, especially in developing command line tools or building rust bindings for python., • Experience with large-scale data ingest and data processing pipelines and related tooling: AWS Kinesis, Kafka, Apache Airflow, Vector, Cribl., • Experience with big data or machine learning categorization algorithms and Python libraries., • Experience with Vue, JavaScript, TypeScript, or AG Grid is a plus., • Experience with Kubernetes, EKS, KEDA, Karpenter, secure secret management within a Kubernetes cluster, istio, AWS IRSA., • Experience with infrastructure as code projects such as: OpenTofu, Terraform, Crossplane, AWS Controller for Kubernetes (ACK)., • Understanding of cloud platforms and security considerations within AWS (Amazon Web Services), Azure, Microsoft 365, and GCP (Google Cloud Platform)., • Experience with EDR solutions (Defender, SentinelOne, CrowdStrike), • Strong understanding of legal and regulatory frameworks related to cyber security investigations such as PCI, NIST CSF, or other industry-specific regulations., • Excellent communication and presentation skills to clearly and concisely communicate complex technical concepts to stakeholders., • Superior organizational and analytical skills; demonstrated ability to manage multiple tasks simultaneously. Additional Working Conditions and Physical Conditions • Overtime hours may be required to fulfill job responsibilities, • May be required to remain stationary for extended periods of time, • May be required to move up to 10 pounds, • Must be able to operate a computer and other devices, • Close vision and ability to adjust focus, such as required to read a computer screen, • Regular travel (up to 50% of time)

The healthcare industry still relies on faxes and phone tag to coordinate critical care for patients at home. We think patients and the clinicians who serve them deserve better than a system stuck in 1995. Verse Medical is building the modern software infrastructure to make it happen. We're a well-funded Series C company (backed by General Catalyst, SignalFire, and Sapphire Ventures) on a mission to heal a fragmented system. Our platform connects the dots between providers, payors, and patients, ensuring people get the high-quality care they need, reliably and right where they live. We’re growing fast and looking for people who are driven by this mission to join us! Our values are the operating system for how we work together and with our partners. They aren't just words on a wall; they are the principles we bring to every decision, every day. We are transparent, upfront and direct. We operate with honesty and clarity. We share information openly, the good and the bad, and believe that direct, respectful feedback is the foundation of trust and progress. We value speed of iteration. We are building something new, which means we learn by doing. We prioritize rapid iteration and getting solutions into the hands of users, believing that progress is more valuable than perfection. We give 110% effort, 30% of the time. We are passionate about our mission, and there are moments that require us to go the extra mile. We believe in focused intensity when it counts, balanced by a sustainable pace that keeps our team energized for the long run. We empathize with customers to a fault. When our users face a problem, we own it. Instead of asking them to change, we ask ourselves, "How can we make this better?" We believe true innovation comes from deep empathy and a relentless focus on solving the real-world challenges of healthcare. As a Full Stack Software Engineer, you'll be shaping the future of at-home care. You'll be a key part of the team, working closely with customers & internal teams to define exactly what needs to be built. Our engineers deeply understand our users’ and internal needs, which has been a big key to our success. Within your first year, you will have the opportunity to: Build software for hospitals and patients that will make their lives easier. Find creative solutions to complex technical and product problems. Build prototypes fast, but with a path in mind to turn them into robust systems over time. Operate with a lot of independence and responsibility in solving complex issues. Work with relevant stakeholders outside of engineering to figure out the right solutions to issues. We believe that diverse experiences and backgrounds lead to better solutions. While we have an idea of what will help someone succeed in this role, we are open to being convinced by your unique story and skills. If you believe you can achieve the outcomes above, we encourage you to apply. Core Skills & Experience: At least 1 year of experience building, shipping, and maintaining full-stack applications in a production environment. Advanced degree in Computer Science or other relevant technical focuses. Proficiency in building applications with both backend (e.g., Python, TypeScript/JavaScript) and frontend (e.g., React, Vue) technologies. A strong command of SQL and experience designing and querying relational databases (e.g., PostgreSQL, MySQL). The ability to articulate complex technical concepts clearly to both technical and non-technical audiences. You'll be joining the Engineering team, a group of talented innovators who value pragmatism, simplicity, and speed of execution. We collaborate closely and believe the best ideas can come from anywhere. The tools and technologies you'll use include Languages: Python, Typescript Frameworks: Flask, React, Apollo GraphQL Infrastructure: Postgres, Airflow, AWS, Google Cloud Platform Introductory Call (30 minutes): A virtual conversation with a Verse Talent Partner to discuss your background, interests, and the role. Technical Interview (90 minutes): A live, virtual pair-programming session with one of our engineers. Onsite Interview (4 hours): An in-person, in-depth pair-programming exercise followed by a discussion with Eastin, our Head of Engineering. CEO Interview (30 minutes): A virtual conversation with Dhaivat, our CEO, to align on vision, values, and long-term impact. Interview Note: To support a more interactive and engaging experience, we ask candidates to keep their cameras on during interviews. We believe in taking care of our team, both professionally and personally. Here’s what we offer: Meaningful Compensation: $130,000-$160,000 base salary + equity While our compensation bands provide a clear framework, every candidate is assessed on a case-by-case basis. Your final offer will be thoughtfully determined by your individual experience, interview performance, and current market data. Comprehensive Health & Wellness: We cover 100% of your health insurance premium and provide access to high-quality dental and vision insurance plans for you and your dependents. Plan for the Future: We offer a 401(k) plan to help you save for your future. At this time, the company does not offer a 401(k) match. Career Growth: You'll have opportunities for rapid career advancement in a company that's at a major inflection point. We want you to grow with us. Work Environment & Location This role is either based in our New York City office in Chelsea or our new San Francisco hub. You will play a critical role in shaping the engineering culture and team structure. We have a hybrid model, with a requirement of 4 days per week in the office to foster collaboration and innovation. Unfortunately, we are not able to accept remote applications at this time. Please note that at this time, we are not able to provide visa sponsorship for this position. All candidates must be authorized to work in the United States. At Verse Medical, our mission is to deliver equitable, hospital-quality care to everyone, regardless of their background or where they live. We can only achieve this if our own team reflects the diversity of the patients we serve. We are committed to building a workplace where everyone feels a sense of belonging, where their contributions are valued, and where they can do their best work. We embrace diversity of all kinds: race, gender, age, religion, identity, experience. We are actively working to build a more inclusive and equitable world, starting from within our own walls. We are an equal opportunity employer. We are also committed to providing a positive and accessible interview experience. If you require any accommodations to participate in our process, please contact us at _.

The healthcare industry still relies on faxes and phone tag to coordinate critical care for patients at home. We think patients and the clinicians who serve them deserve better than a system stuck in 1995. Verse Medical is building the modern software infrastructure to make it happen. We're a well-funded Series C company (backed by General Catalyst, SignalFire, and Sapphire Ventures) on a mission to heal a fragmented system. Our platform connects the dots between providers, payors, and patients, ensuring people get the high-quality care they need, reliably and right where they live. We’re growing fast and looking for people who are driven by this mission to join us! Our values are the operating system for how we work together and with our partners. They aren't just words on a wall; they are the principles we bring to every decision, every day. We are transparent, upfront and direct. We operate with honesty and clarity. We share information openly, the good and the bad, and believe that direct, respectful feedback is the foundation of trust and progress. We value speed of iteration. We are building something new, which means we learn by doing. We prioritize rapid iteration and getting solutions into the hands of users, believing that progress is more valuable than perfection. We give 110% effort, 30% of the time. We are passionate about our mission, and there are moments that require us to go the extra mile. We believe in focused intensity when it counts, balanced by a sustainable pace that keeps our team energized for the long run. We empathize with customers to a fault. When our users face a problem, we own it. Instead of asking them to change, we ask ourselves, "How can we make this better?" We believe true innovation comes from deep empathy and a relentless focus on solving the real-world challenges of healthcare. As a Sr. Full Stack Software Engineer, you'll be shaping the future of at-home care. You'll be a key part of the team, working closely with customers & internal teams to define exactly what needs to be built. Our engineers deeply understand our users’ and internal needs, which has been a big key to our success. Within your first year, you will have the opportunity to: Build software for hospitals and patients that will make their lives easier. Find creative solutions to complex technical and product problems. Build prototypes fast, but with a path in mind to turn them into robust systems over time. Operate with a lot of independence and responsibility in solving complex issues. Work with relevant stakeholders outside of engineering to figure out the right solutions to issues. We believe that diverse experiences and backgrounds lead to better solutions. While we have an idea of what will help someone succeed in this role, we are open to being convinced by your unique story and skills. If you believe you can achieve the outcomes above, we encourage you to apply. Core Skills & Experience: At least 5 years experience building, shipping, and maintaining full-stack applications in a production environment. Advanced degree in Computer Science or other relevant technical focuses. Proficiency in building applications with both backend (e.g., Python, TypeScript/JavaScript) and frontend (e.g., React, Vue) technologies. A strong command of SQL and experience designing and querying relational databases (e.g., PostgreSQL, MySQL). The ability to articulate complex technical concepts clearly to both technical and non-technical audiences. You'll be joining the Engineering team, a group of talented innovators who value pragmatism, simplicity, and speed of execution. We collaborate closely and believe the best ideas can come from anywhere. The tools and technologies you'll use include Languages: Python, Typescript Frameworks: Flask, React, Apollo GraphQL Infrastructure: Postgres, Airflow, AWS, Google Cloud Platform Introductory Call (30 minutes): A virtual conversation with a Verse Talent Partner to discuss your background, interests, and the role. Technical Interview (90 minutes): A live, virtual pair-programming session with one of our engineers. Onsite Interview (4 hours): An in-person, in-depth pair-programming exercise followed by a discussion with Eastin, our Head of Engineering. CEO Interview (30 minutes): A virtual conversation with Dhaivat, our CEO, to align on vision, values, and long-term impact. Interview Note: To support a more interactive and engaging experience, we ask candidates to keep their cameras on during interviews. We believe in taking care of our team, both professionally and personally. Here’s what we offer: Meaningful Compensation: $160,000-$220,000 base salary + equity While our compensation bands provide a clear framework, every candidate is assessed on a case-by-case basis. Your final offer will be thoughtfully determined by your individual experience, interview performance, and current market data. Comprehensive Health & Wellness: We cover 100% of your health insurance premium and provide access to high-quality dental and vision insurance plans for you and your dependents. Plan for the Future: We offer a 401(k) plan to help you save for your future. At this time, the company does not offer a 401(k) match. Career Growth: You'll have opportunities for rapid career advancement in a company that's at a major inflection point. We want you to grow with us. Work Environment & Location This role is either based in our New York City office in Chelsea or our new San Francisco hub. You will play a critical role in shaping the engineering culture and team structure. We have a hybrid model, with a requirement of 4 days per week in the office to foster collaboration and innovation. Unfortunately, we are not able to accept remote applications at this time. Please note that at this time, we are not able to provide visa sponsorship for this position. All candidates must be authorized to work in the United States. At Verse Medical, our mission is to deliver equitable, hospital-quality care to everyone, regardless of their background or where they live. We can only achieve this if our own team reflects the diversity of the patients we serve. We are committed to building a workplace where everyone feels a sense of belonging, where their contributions are valued, and where they can do their best work. We embrace diversity of all kinds: race, gender, age, religion, identity, experience. We are actively working to build a more inclusive and equitable world, starting from within our own walls. We are an equal opportunity employer. We are also committed to providing a positive and accessible interview experience. If you require any accommodations to participate in our process, please contact us at _.

Location: US (New York or East Coast) - Remote Type: Full-time Kestra is the universal orchestration platform — open source, declarative, and designed to orchestrate data pipelines, IT automation, business workflows, and AI/agentic systems. Kestra is the fastest-growing open-source orchestration project in the world — close to 30,000 GitHub stars, hundreds of contributors, and a global community scaling rapidly across engineering, data, and IT teams. Following a $25M Series A, we're accelerating our US expansion while already operating at scale in Europe. Every organization runs on workflows — thousands of them, mission-critical, often invisible until they fail. Most of these workflows are trapped in legacy orchestration platforms built 15 or 20 years ago. These systems cost millions to maintain, take months to modify, create deep vendor lock-in, and were designed for a world that no longer exists. At the same time, the rise of cloud, microservices, AI agents, and multi-team architectures has created an explosion of operational complexity that these platforms were never built to handle. Kestra was created to solve this problem. Born from a real failure — a large-scale Airflow deployment that could not meet the requirements of a 30,000-employee enterprise — we built an open-source orchestration platform that any engineer can adopt in minutes, that replaces seven-figure legacy systems in days, and that provides full visibility and control over every workflow across the organization. We are trusted by Bloomberg, JPMorgan Chase, Deutsche Telekom, Toyota, BHP, Crédit Agricole, and FILA — all acquired without outbound sales in their respective markets. Our ambition is to become the orchestration standard for every enterprise. Not a point solution. Not a dev tool. The execution backbone — one engine, every use case, every team. We are not riding a hype cycle. We are solving a structural problem that grows with every layer of complexity the industry adds. Building Kestra requires persistence, adaptation, and rigorous execution over time. We are looking for people who think the same way. We're looking for a Head of Sales to own the global revenue number, build the team, and define the motion that makes growth repeatable. Based in the US, you will lead Kestra's commercial expansion globally — starting with the US market while working in close coordination with the European team. This is a builder-manager role. You will design the sales process, lead and grow an existing team of Sales Leads and Solution Engineers, and create the conditions for the team to perform consistently. You will be present on strategic deals as an executive sponsor — providing executive alignment, navigating procurement, and unlocking stalled cycles — but you are not the primary closer. Your job is to build a machine that scales, not to be the machine yourself. You report directly to the CEO and work closely with Customer Operations, Product, and Marketing/PMM. Kestra starts where engineers live — open source, self-hosted, community-adopted. Thousands of organizations are already running Kestra in production before they ever talk to sales. The Head of Sales needs to understand how to build an enterprise motion on top of that reality: converting community signal into pipeline, working with technical champions, and building a compelling enterprise narrative without alienating the developer base. This is the core challenge of the role, and the thing that makes it different from a standard enterprise SaaS sales leadership position. Experience with OSS-led or PLG-to-enterprise motions — at companies like Confluent, HashiCorp, Grafana, dbt Labs, or equivalent — is a strong differentiator. The Head of Sales is the architect of a scalable sales system. You move from selling to organizing and optimizing a system that sells at scale — defining the strategy, building repeatable processes, and assembling the team. Your primary objective is to make revenue growth predictable and data-driven. Own the number — You own global ARR. That means owning the pipeline generation strategy, forecast accuracy, and the commercial outcomes of the team. You are the executive presence on strategic deals, not the primary closer. Build and lead the team — You lead an existing team of AEs, Sales Leads, and SEs, and grow it deliberately. You set the bar for coaching culture, hiring standards, and execution discipline. Define the motion — You design the playbooks, qualification framework, POC policy, and sales process that make results repeatable. You turn what works into something others can run. Align the go-to-market — You work closely with Marketing on pipeline generation, positioning, and proof content. You partner with Customer Operations on expansion and NRR. You feed structured market signal back to Product without turning every deal into a roadmap request. Proven track record building and scaling a B2B enterprise sales team in developer tools, infrastructure, data/AI tooling, or open-source software Experience with OSS-led or PLG-to-enterprise GTM motions — you understand how to turn a technical community into a sales pipeline Has operated in a Series A/B environment and knows what "builder" actually means in practice: no inherited playbook, no mature SDR team, no established brand in the market Comfortable with complex enterprise sales: security reviews, procurement cycles, multi-stakeholder alignment, long deal cycles Able to define a clear wedge for a general-purpose platform and build a playbook others can run and repeat High standards, low ego — coaching-oriented, execution-focused, and honest about pipeline reality Bonus points Background in orchestration, infrastructure automation, or workflow management Familiarity with technical buyers and developer communities Experience selling into IT, platform engineering, or data engineering personas Global team ARR / bookings and attainment vs. target Pipeline coverage, generation rate, and SQL → Close conversion Win rate, average cycle length, ACV Forecast accuracy Rep ramp time and productivity per rep NRR / avoidable churn (shared with CS) Real ownership in a globally distributed, technical team Direct line to the CEO and full visibility on company strategy A product already running mission-critical workloads at Fortune 500 companies Competitive compensation, equity, and health insurance Base: US (East Coast preferred), fully remote. Regular travel to customers, industry events, and team offsites. Close coordination with the European team across time zones.

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing high-quality data for model training; Design auto labeling system using ensemble of models that can reason from multimodal data for different use-cases, including image semantic labeling using vision grounded models, intent and path prediction ground truth; Perform complex data extraction, transformation, and loading (ETL) processes, ensuring data is clean, accessible, and well-documented; Write and optimize high quality SQL queries for data analysis and ingestion from various sources; Partner with data infrastructure and ML engineers to ensure seamless integration of data and machine learning workflows; and Produce highquality, maintainable code and participate in peer code reviews to share knowledge and uphold team standards. Position allows 100% telecommuting from anywhere in the U.S. Salary: $194,834 - $218,284 per year. MINIMUM REQUIREMENTS: Bachelor’s Degree or U.S. equivalent in Computer Science, Data Science, or a related field, 5 years of professional experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or any occupation, job title, or position performing software engineering and machine learning. Must also have the following special skills: 5 years of professional experience utilizing SQL to write and optimize complex queries for extraction, analysis, and ingestion of structured, semi-structured, and unstructured data; 5 years of professional experience utilizing machine-learning frameworks (including TensorFlow and PyTorch) 5 years of professional experience designing and developing data and feature extraction pipelines, including pipelines for multi-modal data (including images, point clouds, or time-series) 5 years of professional experience training and prototyping machine-learning models using data-centric techniques including automated feature engineering, active learning, and fine-tuning; 5 years of professional experience utilizing cloud platforms including AWS, GCP, or Azure 5 years of professional experience utilizing containerization and workflow tools including Docker, Kubernetes, or Airflow 5 years of professional experience collaborating with cross-functional engineering teams to integrate data pipelines and ML workflows 3 years of professional experience programming in Python, building scalable data pipelines, or implementing ETL workflows 1 year of professional experience working with relational databases and SQL (including Postgres, Redshift, or SQL Server). CONTACT: Please send resume to hr@serverobotics.com Must specify Ad Code SDSB in the subject line.

Ledgebrook is an InsurTech MGA on a mission to bring Specialty insurance into the modern era. Burdened with legacy technology and processes, the industry has not kept pace with the speed of innovation seen in other sectors. Positioned at the cutting edge of the next generation of InsurTech, Ledgebrook offers the best of both worlds: innovative world-class technology deployed by a leadership team armed with over 100 years of insurance expertise. Our long-term vision is to become a diversified full stack Specialty re/insurer competing with legacy carriers in product lines & markets across the globe. To get there, Ledgebrook builds its premium base by rolling out a new Specialty product every ~6 months until we prove enough traction to raise a balance sheet, become a full stack carrier and eventually compete in the reinsurance markets. Our initial product is a domestic primary and excess GL E&S policies sourced via wholesale brokers. At Ledgebrook, everything we do is driven by our culture: Care, Strive, Thrive Together. To succeed in modernizing the industry, we must first succeed in changing the way we do business. Talent density is our north star; fewer, better people working together as one. To that end we’ve replaced all individual incentives with generous equity packages. We play as a team, we win as a team. Everyone benefits handsomely from Ledgebrook’s success. Ledgebrook is a fully-remote US based company backed by top venture and family office investors including Brand Foundry, American Family Ventures, Duquesne Family Office, and Stephens Group. We’re a fully remote team prioritizing impact, ownership, and collaboration. We’re looking for a talented Product Manager - Data & Infrastructure to lead the strategy, execution, and delivery of our core data and platform capabilities. You’ll partner closely with engineering, analytics, and business leadership to define priorities, manage sprints, and ensure our data and infra roadmaps align with company goals. The ideal candidate thrives at the intersection of technology and business, comfortable writing user stories, coordinating across teams, and driving delivery for high-impact internal systems. This role will initially focus on the Data team, with potential to expand oversight to the Infrastructure organization as we scale. Tech Stack • Languages: Python, SQL, • Data Stack: Snowflake, dbt, Apache Airflow (AWS MWAA), • Cloud Infrastructure: AWS, Terraform, • Tools: GitHub, Jira, Confluence, Slack What you’ll do • Own the product lifecycle for Ledgebrook’s data platform and infrastructure initiatives from discovery through delivery and measurement., • Lead agile ceremonies (sprint planning, retrospectives, standups) and manage Jira: creating, refining, and validating stories to ensure clarity and readiness for release., • Partner with engineering leads to translate complex technical initiatives into clear deliverables, balancing strategic priorities with day-to-day execution., • Collaborate with stakeholders across engineering, actuarial, underwriting, finance, and operations to understand needs and define roadmap priorities., • Define success metrics and use data to track outcomes, improve processes, and guide investment decisions., • Ensure technical readiness for releases, coordinating QA, documentation, and stakeholder communication., • Lead roadmap planning, aligning quarterly and annual objectives with company OKRs and evolving business needs., • Champion internal adoption of data and infrastructure tools, ensuring teams across the company derive measurable value., • Drive continuous improvement in team velocity, delivery predictability, and agile maturity. You combine structured product thinking with a systems mindset. You can bridge technical depth with business context, turning complex backend or data platform work into tangible business impact. You’re organized, collaborative, and thrive on making teams more effective. You have demonstrated a data-driven approach to decision-making and a commitment to delivering high-quality products that meet customer needs. You are able to define and measure key success metrics for products, and use data to inform product strategy and make informed decisions. Must haves • 5+ years of product management experience, ideally supporting data, infrastructure, or platform teams., • Proven success leading agile software development teams and managing workflows (epics, sprints, story validation)., • Strong communication and stakeholder management skills, able to synthesize competing priorities into a clear plan., • Comfort with technical topics such as APIs, cloud infrastructure, data pipelines, and system reliability., • Analytical and metrics-driven approach to prioritization and success measurement., • Experience managing complex cross-functional projects from ideation through delivery., • Ability to navigate ambiguity and provide clarity for engineering and business partners. Nice to haves • Familiarity with data stacks (Snowflake, dbt, Airflow, Hevo/Fivetran) and analytics tools (Power BI, Tableau, Looker)., • Understanding of cloud infrastructure (AWS, Terraform, ECS, IAM, networking)., • Experience in insurtech or another regulated, data-heavy industry., • Prior experience as a technical program manager or data product manager., • Hands-on familiarity with SQL or data visualization tools for basic analysis., • Experience driving adoption of internal tooling or developer productivity platforms., • Background in agile coaching, process design, or operational excellence. Important - only for candidates applying from the U.S.: Please note: This position is open only to candidates who are authorized to work in the United States without the need for current or future employer-sponsored work authorization. We are unable to offer visa sponsorship at this time.” • Competitive salary + meaningful equity ownership, • 100% employer-paid health insurance, • 100% remote work, flexible hours, • Unlimited paid time off, • Work with an ambitious, smart, fun team to transform a $1T global industry, • Ownership, autonomy, purpose

is an award-winning social enterprise and a certified B-corp and Benefit Corporation. We build software solutions and provide technology consulting services to improve the quality of essential services for underserved populations. Our open-source technology platform, , is the world’s most widely-used and _ mobile data collection platform for frontline workers. Our choice to be a certified B-Corp and to legally incorporate as a Benefit Corporation sends a clear signal to our partners, our team members, and our communities that we not only believe but also take action in using business as a force for good. This approach combines our passion and commitment to tackle complex health and social inequities and work towards a brighter future for all. Dimagi is looking for a Data Engineer II to join our US Solutions Division. This position will be affiliated with our Cambridge, MA office but is open to remote employment within the United States. This is a 12-month fixed-term position with the possibility of renewal based on business requirements and mutual interest. The Data Engineer II will be part of Dimagi’s US Solutions Division Data & Analytics team, a group of engineers and data specialists responsible for building, maintaining, and evolving Dimagi’s Data Platform in support of current and future project work. The primary technologies used by the current data platform are Snowflake, Tableau, and various AWS cloud tools. In this role, you will contribute hands-on to the design, implementation, and operation of data pipelines, warehouse transformations, data visualizations, and supporting infrastructure, while working closely with technical leadership to ensure platform reliability, scalability, and alignment with business needs. The data systems you help build and maintain will directly support public health and human services programs, enabling frontline teams and government partners to deliver care and services more effectively. This position is well suited for someone who enjoys hands-on technical work in a small, collaborative environment. As a member of a lean team, you will be expected to work across functional areas, adapt quickly to new problem spaces, and contribute meaningfully to data systems that support real-world service delivery and decision-making. This role assumes comfort using AI-assisted tools to support analysis, documentation, troubleshooting, and learning in a complex technical environment. Responsibilities • Contribute to the technical integrity and evolution of the Data Platform tech stack, working closely with other Data Engineers, the Director of Technology, and the USS Tech Lead., • Design and implement core features and enhancements within the Data Platform, including contributing to technical specifications, conducting targeted technical research, and translating requirements into production-ready solutions., • Responsible for executing and maintaining DevOps workflows supporting the Data Platform, including performance monitoring, platform upgrades, deployment frameworks, and operational improvements, with guidance and mentorship from more senior Data Engineers as needed., • Use AI-assisted tools thoughtfully to accelerate development, debugging, documentation, and operational analysis, while understanding and validating outputs to ensure correctness, reliability, and security., • Build and maintain robust data extraction, loading, and transformation processes for both Dimagi managed (i.e. CommCare) and external data sources, enabling efficient, reliable data pipelines and their long-term development and operation using both SQL and Python scripting., • Design and develop data warehouse transformations, using SQL-based approaches and supplementary tools such as dbt., • Collaborate with internal teams and external partners on the design and implementation of enterprise data architectures based on industry standards and partner specific analytics needs., • Conduct ad hoc analyses and support the development of business intelligence outputs, including dashboards and visualizations using Tableau and other tools. The ideal candidate will have some or all of the following experience: • 2–5 years of experience in data engineering or a similar technical role, with a proven track record of designing and evolving scalable data systems., • Experience building maintainable, long-term technical solutions using software development best practices (version control, testing, and iterative development)., • Hands-on expertise in building and managing production-grade pipelines using ETL/ELT tools (e.g., dbt, Airflow, Prefect, Fivetran, or Talend)., • Strong proficiency with cloud-based data platforms (AWS, Snowflake, etc.) and a diverse range of data ingestion, processing, and storage technologies., • Expert-level SQL for complex data engineering and analysis, paired with proficiency in Python and associated data-oriented toolkits., • A deep understanding of dimensional modeling concepts ((e.g. OLAP cubes, star schemas, kimball architecture vs. alternatives like inmon), • Proven ability to partner with technical stakeholders to clarify requirements and deliver effective, end-to-end data solutions., • Proficiency in using AI-assisted tools for code generation, debugging, and optimization, with the ability to rapidly adapt to new schemas and tools in a fast-paced environment., • Comfortable working "in the trenches" of production systems to test, iterate, and optimize operational workflows., • Eligible to work in the United States Bonus Experience • Experience in enterprise data architecture, service-oriented frameworks, data integration and harmonization, data strategy and governance, high-performing data lakes, data operations and delivery and data ingestion frameworks supporting batch/real-time, • Experience writing and maintaining production ready code in a high level programming language (Python, Java, C++ etc.), • Experience with data analysis software (Jupyter Notebooks, R, etc.) and data visualization tools (Tableau, Power BI, Superset, etc.)., • Healthcare experience: either in healthcare data or public health data collection methodologies and workflows, • Experience and comfort working independently with partners for requirements gathering and solution development in an agile software development environment, using JIRA and Asana to manage tasks between technical and client-facing teams We aim to make a difference, not just as a company but also as an employer! We are transparent about salaries at all levels of the organization and have a standard, global pay scale for all positions. Our salaries are cost of living adjusted and non-negotiable. The estimated salary range for this position is 82,810 USD - 130,319 USD annually. Your final salary within the range will be dependent on where you are geographically based and might fall outside of this estimated range. However, the benefits we offer are geared towards having a strong impact on our staff’s well-being. A few of our key benefits are outlined below: • 100% employer-sponsored medical insurance paired with a generous Health Reimbursement Account (HRA) fund, • Access to voluntary dental and vision insurance plans, • A 401K plan with up to a 4% employer match, • Employee stock option plan, • 30 days paid time off inclusive of holidays, • Unlimited sick time and excellent parental leave policy, • Access to a flex-time policy that allows employees to work based on a flexible work schedule, • Access to an Employee Assistance Program (EAP) through ComPsych Dimagi is an Equal Opportunity Employer. We celebrate and support diversity and are committed to providing a work environment that is inclusive and free of discrimination and harassment. All employment decisions are based on individual qualifications without regard to race, color, religion, age, sex, sexual orientation, ethnicity, gender identity and expression, national origin, family or parental status, veteran or disability status.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (17000 plus experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Role: Data Scientist Location: Remote, USA Duration: Fulltime Employee Job Overview: • Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP., • Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction., • Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency., • Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments., • Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders., • Solid grounding in statistical methods — time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems., • Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment. Must Have: • Minimum 6 years of experience as Data Scientist., • Strong SQL and Python proficiency with hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure., • Data Science Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis. Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. We don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else. As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a next-generation engineering organization looks like. Own and evolve a tool-agnostic analytics layer powering business decisions. Design and maintain scalable, well-modeled datasets using dbt, Snowflake, and a semantic layer—transforming raw data into trusted, high-quality metrics used across Product, GTM, Finance, and Operations. Partner deeply with analysts and business stakeholders. Collaborate with Data Analysts, Product, and business leaders to define metrics, enable self-service analytics, and deliver insights that directly impact decision-making and product development. Drive data quality, consistency, and trust at scale. Implement robust testing, monitoring, and validation frameworks to ensure data accuracy and reliability, while standardizing metric definitions across the organization. Build data products and AI-powered analytics systems. Develop systems such as AI-driven support ticket classification and contribute to building an AI agent that can act as a Data Analyst—leveraging the semantic layer to answer business questions and generate insights. You already build with AI daily. You use Claude Code as a core part of your workflow, not as a novelty You have strong opinions on how AI can enhance analytics workflows, data modeling, and decision-making You think in systems. You connect technical decisions to customer outcomes and long-term business value You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together 8+ years in analytics engineering, data engineering, or related roles, including time operating at a large scale or leading cross-functional initiatives. Deep proficiency with dbt, including building and maintaining large-scale transformation layers and reusable models. Strong SQL skills and a background working with Snowflake or similar cloud data warehouses. Designing and operating scalable semantic layers to provide consistent, reliable metric definitions across the organization. Expertise in designing modular, scalable data architectures (e.g., Kimball or OBT) that balance query performance with ease of use for downstream analysts. A history of building data quality frameworks, testing strategies, and monitoring for analytics datasets. Building data products or internal tools while partnering with product and business teams to define metrics and drive decisions. Expert-level grasp of software design principles and a deep understanding of multi-tenant platform architectures. Proven track record leading high-impact analytics initiatives from concept through delivery. Frontend: Sigma, Hex Backend: dbt, SQL, Python Data: Snowflake Infrastructure: Airflow $180,000 - $220,000 a yearJoin us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition. Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date. More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner. Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About TechTorch TechTorch is a high-growth enterprise technology consultancy that partners with the world’s leading private equity-backed businesses. We deliver AI-powered solutions, accelerators, and data-driven transformation initiatives that drive measurable value at speed and scale. Our mission is to redefine enterprise technology consulting for private equity. We combine the agility of a scale-up with the discipline and rigor demanded by the most sophisticated investors and operators. TechTorch was founded by seasoned leaders — including former Bain consultants, CIOs, and tech executives — with deep expertise in technology, transformation, and value creation. We are not a typical startup. We were built to succeed and to deliver results that matter. About the Team TechTorch teams work at the intersection of custom software engineering, modern data platforms, and applied AI. We help private equity-backed companies modernize core systems, build new digital products, and deploy AI solutions that create measurable operational and commercial impact. Our engineers collaborate across backend, frontend, data, and AI disciplines to deliver production-grade, scalable solutions — not demos or slideware. About the Role As an AI Software & Data Engineer, you will design and build full-stack software systems, data platforms, and AI-powered MVPs for TechTorch clients. This role is ideal for someone who started in software engineering, developed strong full-stack capabilities, moved into data engineering and analytics, and now applies AI tools and techniques to solve real enterprise problems. You will work end-to-end — from React/Next.js frontends, through backend development in Python and data pipelines, to AI model integration and deployment — owning solutions from concept through production. What You’ll Do Full-Stack Software Engineering Design and build full-stack applications, including: Frontend interfaces using React and Next.js Backend services and APIs using Python and cloud-native patterns Develop secure, scalable application logic that integrates with data platforms and enterprise systems Implement CI/CD pipelines, testing, and production-readiness standards Collaborate closely with product, data, and AI teams to deliver cohesive user experiences Data Engineering Design, build, and maintain scalable data pipelines and ELT workflows Model and manage data in modern data platforms (e.g., Snowflake, Redshift, BigQuery, lakehouse architectures) Ensure data quality, performance, and lineage across structured and semi-structured data Enable analytics, reporting, and downstream AI use cases through well-designed data foundations Applied AI & Prototyping Build AI prototypes and MVPs end-to-end for clients — from data ingestion to user-facing experience Integrate AI/ML capabilities into software and data workflows (e.g., NLP, document intelligence, classification, anomaly detection) Leverage modern AI platforms and services such as AWS Bedrock, SageMaker, Snowflake Cortex, OpenAI Support feature engineering, inference pipelines, and AI-enabled automation Ensure AI solutions are observable, explainable, and suitable for enterprise and regulated environments Who You Are We’re looking for high-caliber professionals who meet the minimum requirements for the role and share our values and mindset. 5+ years of experience across full-stack software engineering and data engineering Strong foundation in custom software development, including: Frontend: React, Next.js Backend: Python, strong API and service design Solid hands-on experience with data engineering: pipelines, modeling, warehouses, ELT/ETL Practical experience building and deploying AI-powered prototypes or MVPs, not just experimentation Proficient in Python, SQL, and modern cloud-native development practices Experience with cloud platforms (AWS preferred; Azure or GCP acceptable) Comfortable operating across software, data, and AI — able to wear multiple hats Strong problem-solving skills and ability to translate business needs into technical solutions Consulting or client-facing experience is a strong plus Nice to have Snowflake (including Cortex AI), dbt, Airflow, Spark AWS services: Lambda, Step Functions, Bedrock, SageMaker Exposure to MLOps, model lifecycle management, or AI governance Experience in regulated or data-sensitive environments Our Values Client First — We focus relentlessly on delivering outcomes that create value for our clients We, Not Me — We win together. Collaboration drives transformation at scale Get Stuff Done — We execute with speed and precision — because in PE, time matters AI First — We embed AI at the core, enabling scalable, high-leverage solutions Own It — We take accountability for results, delivering on what we promise Agile Mindset — We adapt quickly and proactively seek better ways to move forward What We Offer A role at the intersection of full-stack software, data engineering, and applied AI Ownership of end-to-end AI prototypes and production systems High-impact projects with private equity firms and their portfolio companies A global, senior team focused on delivery excellence Flexible, remote-first working environment with high autonomy

About Us At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge) and Next-generation Managed Services, we are empowering organizations across the globe to transform their IT infrastructure for the modern cloud era. Our innovative products enable enterprises to deliver a seamless, scalable, and secure digital experience, no matter where their users, devices, or applications are located. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth as it positions itself for a future IPO. We believe in fostering a culture of innovation, collaboration, and customer success. Our team is comprised of passionate, forward-thinking professionals dedicated to driving the future of networking technology. We encourage creativity, offer opportunities for growth, and provide a dynamic environment where our people can thrive and make an impact. At Versa Networks, we don’t just build products – we build relationships, elevate businesses, and shape the digital future. Join us and be part of a fast-paced, cutting-edge company that's making a real difference in how the world connects and communicates. Job Summary We’re seeking a highly skilled Data Engineer to design, build, and maintain production-grade data pipelines that process and transform terabytes of data. In this role, you’ll collaborate closely with data scientists and other SWEs to ensure that our data infrastructure is scalable, reliable, and cost-effective. Responsibilities • Pipeline Development & Deployment:, • Architect, develop, and deploy batch and streaming pipelines using Airflow and containerized workflows for cyber-security use-cases., • Containerize data-processing jobs with Docker, orchestrate with Kubernetes, and manage releases with Helm charts., • Distributed Computing:, • Build high-throughput data transformations using Dask or Apache Spark., • Maintain training data clusters across hybrid (on-prem and cloud environments)., • Optimize training jobs for performance, resiliency, and cost., • Monitoring & Reliability:, • Implement observability (logging, metrics, alerting) to maintain pipeline health and SLA adherence., • Troubleshoot, debug, and resolve data-processing failures in production., • Collaboration & Best Practices:, • Work with cross-functional teams to define data contracts, schemas, and quality checks., • Enforce software engineering best practices: CI/CD, code reviews, automated testing, and documentation., • Data Modeling & Storage:, • Design and maintain data models and schemas for AI/ML continuous training use cases., • Load data into cloud storage and lakes, ensuring performance and accessibility. Qualifications • 3–5 years of professional experience designing and operating production data pipelines at scale., • Containerization & Orchestration: Expertise with Docker, Kubernetes, and Helm., • Workflow Management: Hands-on experience building DAG-based pipelines in Apache Airflow., • Programming: Strong proficiency in Python for data engineering tasks., • Distributed Frameworks: Practical experience with Dask or Apache Spark for large-scale data processing., • Cloud Fundamentals: Familiarity with deploying and managing services in a cloud environment., • Compiled Languages: Experience writing data services in Go or Rust., • GCP Proficiency: Hands-on with Google Cloud services (e.g., Pub/Sub, Big Query, Cloud Storage, GKE). Equivalent experience in other public cloud providers is fine., • ML Pipelines: Exposure to deploying cross-cluster model-training workflows using Ray or similar frameworks., • Infrastructure as Code: Familiarity with Terraform for deployment., • Security & Compliance: Knowledge of data governance, encryption, and role-based access control. Location: United States *Applicants must be authorized to work in the US The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range of $150,000 to $220,000. A candidate’s specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. Why Versa? At Versa Networks, we believe in taking care of our people – both professionally and personally. We offer a comprehensive benefits package designed to support the well-being, growth, and work-life balance of our employees. When you join our team, you can expect: • Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication., • Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered., • Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters., • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you., • Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends., • Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success., • Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do., • Parental Leave: Generous parental leave policies to support you during life's important moments. At Versa Networks, our benefits are designed to help you thrive both inside and outside the office. Join us and experience a rewarding, fulfilling career in a supportive environment that values your health, happiness, and success. Versa Networks is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. AECOM is seeking to hire a highly skilled Senior Mechanical Designer for the Data Center and Mission Critical team for our east region. The ideal candidate for this position should be familiar with the tech sector, mission critical and data center industry, understanding the requirements of scale, speed, and consistency in data centers. This position offers the flexibility of a remote work schedule and can be based from a variety of locations in the US were AECOM has an office. AECOM is a leader in the global data center consulting industry with robust teams in the Americas, Europe, Africa, Asia, and Australia. In this role, you will have the opportunity to work with our teams around the world on high-profile, fast-paced data center projects for global clients. This is a hands-on, client-facing role with an opportunity for upward career mobility. Responsibilities, required experience, and qualifications are summarized below: Responsibilities: Data Center Heat Rejection and HVAC System Design: Developing and designing Heat Rejection and HVAC systems specifically tailored for data centers, considering factors such as type of cooling requirement as air cooled or direct fluid cooled, associated cooling loads, future flexibility of the system to accommodate variable heat distribution scenarios, phased construction and operation, airflow management, humidity control, system redundancy providing concurrent maintainability, energy efficiency, and compliance with industry standards and best practices. Cooling System Selection: Selecting appropriate air/water side cooling systems for data centers, including Fan wall units, computer room air handlers (CRAHs), chilled water systems, DX systems and CRAC units, in-row cooling, and containment solutions, based on the specific cooling requirements of the data center and the criticality of the equipment. Computational Fluid Dynamics (CFD) Analysis: Conducting internal CFD simulations to optimize airflow distribution, transient period analysis, identify hotspots, and ensure efficient cooling throughout the data center. Conducting external CFD on individual buildings and/or campus-wide to simulate effects of different electrical and mechanical components on each other and effects on design day selection criteria capacity of each component. For both types, prepare and/or direct preparation of models and analyse the results to recommend design modifications and optimize the Heat rejection and HVAC system performance. Coordinate the required changes and resulting effects with other trades on project. Redundancy and Fault Tolerance: Designing HVAC systems with redundancy and fault-tolerant features to ensure continuous operation of the data center in the event of equipment failure or maintenance activities. This includes the design of backup cooling systems, automatic switchover mechanisms, and monitoring systems. Heat Load Calculation and Capacity Planning: Performing heat load calculations for data centers to determine the cooling requirements based on the IT equipment, power density, anticipated growth, and phasing of the construction and operational steps. Conducting capacity planning to ensure the HVAC system can accommodate future expansions and upgrades. Performing HVAC loads for admin and common sections of the facility. Energy Efficiency and Sustainability: Implementing energy-efficient HVAC design strategies, such as utilizing economizers, variable speed drives, energy recovery systems, and optimizing airflow management techniques, to minimize energy consumption and support sustainability initiatives. Air Quality and Filtration: Ensuring the data center's air quality is maintained at optimal levels by designing appropriate filtration systems and implementing air quality monitoring mechanisms. Addressing concerns related to particulate matter, humidity control, and contaminant removal to protect sensitive IT equipment. Coordination with Electrical and Mechanical Systems: Collaborating with electrical engineers and mechanical engineers to integrate the heat rejection and HVAC system seamlessly with the electrical infrastructure, UPS systems, emergency power systems, fire suppression systems, and other critical infrastructure components. Minimum Requirements: • Bachelor's Degree with 6+ years of relevant experience or demonstrated equivalency of experience and or education., • Experience in data center mechanical and electrical equipment installation and operation. Preferred Requirements: • A bachelor's degree in mechanical engineering, HVAC engineering, or a related field from an accredited university is typically required. Preference would be given to candidates with a master's degree or advanced coursework in HVAC systems or energy management., • Knowledge of data center TER Standard Topology as per Uptime Institute, TIA 942, ANSI/BICSI 002, • Professional certifications related to HVAC engineering, such as Certified Energy Manager (CEM), Building Energy Modeling Professional (BEMP), or Leadership in Energy and Environmental Design (LEED) accreditation, would be advantageous., • P. E. registration is preferred, • We are interested in every qualified candidate eligible to work in the United States. Permanent residency sponsorship is available for current H1-B visa holders in the United States., • Relocation assistance may be available for candidates interested in working from our Arlington, VA office. About AECOM AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com. What makes AECOM a great place to work You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community—where you have the freedom to grow in a world of opportunity. As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.

Evio Overview Evio is a highly unique pharmacy solutions company that was founded by and works closely with health plans to implement transformative (to cost, quality, access and experience) initiatives primarily focused on specialty and other high-cost medication solutions. In 2020, a group of five amazing Blue Cross Blue Shield health plans that in total serve more than 20 million members recognized that the way medications get to patients needs significant reform—rapidly rising costs and massive system complexities are detrimental to patients and the entire industry. In 2025, Wellmark joined as Evio's first non-founding investor and sixth owner health plan. Each company made, and continues to make, significant investments to establish Evio as an independent entity to lead this transformation. Evio has advanced analytics and contracting capabilities at scale, and a suite of digital tools, to power our high-cost medication solutions. Our solutions act as a self-reinforcing “_” where each element strengthens and feeds into the next, and support an “Only Evio can do that,” mindset and prioritization. Evio is also a company that has invested heavily in and been highly intentional about people, team and culture. We believe we have created a very special place to work and encourage candidates to observe and ask us about our culture and decide for themselves. Evio's Values • Empathy – The people our business serves always come first. We care for our teammates and put ourselves in the shoes of our health plan customers and the patients and clinicians our solutions benefit., • Diversity – We are committed to fostering a culture where everyone belongs and is valued for their background, experience and insights – one that encourages diversity of ideas, and is a nurturing, trusting, and accepting place for all., • Adventure – We are flexible, thrive in ambiguity, fail fast, and pivot quickly to get to a better answer. We celebrate wins and pivots with equal intensity., • Relentless – Guided by evidence and data, we are creative, curious, and unwavering in our pursuit of challenging the status quo and each other., • Transparency – Just as we seek to bring transparency to the pharmacy supply chain, authenticity and integrity are core to the way we communicate., • Excellence – We strive to raise the bar in all we do by hiring and developing exceptional talent and holding ourselves and our thinking to the highest standard. About the Role: At Evio, we are building a suite of solutions that enable pharmacy innovation and improved patient outcomes. Our solutions infrastructure is foundational to the value we offer to customers. We are seeking an experienced Data Engineer who wants to build reliable, scalable systems to bring our mission to life. In this role, you will design, develop, and maintain our AWS-cloud-native data platform and systems necessary for efficient data processing, storage, and analysis. This role will work closely with our product management and data analytics teams to create and manage effective data ETL processes on our platforms: helping shape how data flows across our ecosystem and ensuring it is secure, accurate, and trustworthy. This is a hands-on role for a team player who wants to build a best-in-class system and make a difference in health care. We are a lean team with strong company culture, and every teammate plays a mission-critical role in our success. Key Responsibilities: Design and administer data systems: • Implement cloud-native data solutions across cloud services such as AWS Glue, AWS Lambda, AWS Step Functions, Redshift, Aurora, Amazon S3, MWAA-Airflow., • Design and implement scalable data architectures using AWS cloud services, including data lakes, data warehouses, bulk data ingestion, and transaction processing., • Collaborate with customers and teammates to comprehend data requirements and translate business needs into well-designed data models., • Assemble large, complex data sets that meet functional business requirements., • Stay current with AWS services and recommend suitable tools for specific data engineering tasks., • Develop and support the internal applications using Python, SQL, and Stored Procedures. Build reliable data processes: • Develop, implement, and maintain ETL processes to ingest, clean, and transform complex health care data into our application data platforms., • Automate manual processes and to optimize data delivery and reduce operational friction. Optimize data pipeline performance: • Monitor and tune data pipelines and data storage for performance, cost, and reliability., • Implement caching mechanisms and data partitioning strategies to enhance query efficiency and reduce data processing times., • Continuously evaluate tools and recommend improvements, striving to consistently raise the bar. Lead and collaborate company-wide: • Provide technical guidance and mentorship within the data engineering team and foster a collaborative and innovative environment., • Partner closely with product and analytics team to understand business goals and engineer solutions to the right problems., • Contribute to a culture of transparency, accountability, and continuous improvement. Protect and govern data responsibly: • Implement and enforce data security measures and maintain data governance standards and access controls to protect sensitive data., • Ensure compliance with health care data regulations and industry best practices. The skills and experience you bring to this role include: • Bachelor’s degree in computer science, Informatics, Information Systems, or another quantitative field., • 10+ years of experience in data engineering or a similar role with demonstrated technical leadership experience., • Expertise building and administering, including writing views, stored procedures, and triggers, in AWS-native data systems (Redshift, Aurora, RDS PostgreSQL, Glue, Lambda, Step Functions, MWAA-Airflow)., • Strong Python and SQL experience, including advanced query design and database optimization., • Experience with healthcare data (Medical Claims, Rx Claims) or similar healthcare data is required., • Ability to develop subject-matter expertise and partner thoughtfully with business teams., • Trusted partner: reliable to deliver accurate work in a timely manner., • A passion for working with a team to improve how data drives meaningful outcomes. Salary Considerations: Anticipated annual base pay range: $130,000 - $150,000 plus additional variable compensation based on performance. At Evio, we’re committed to building a competitive compensation package to honor the value our teammates bring as well as attract and retain top talent that is aligned with our culture, mission and values. Compensation includes base pay (range shown) and could include other variable compensation opportunities depending on job seniority, location, and date of hire. Evio also offers a number of attractive benefits to eligible teammates including health insurance, retirement savings, life and disability insurance, paid and unpaid time off, and other benefits to make sure Evio teammates and families are well supported. Please note that the base pay information shown is a general guideline for the job responsibilities and qualifications listed. Salary decisions are based on candidate experience, and market and business considerations. Evio Benefits: • Great Health Insurance The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents. • 401K Match Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits. • Time Off We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Vacation is to be used at your discretion, with approval of leadership. • Parental Leave Generous paid leave for new parents (includes birth and non-birth parents). Evio values a diverse workplace and is committed to supporting and celebrating the diversity that each teammate brings to the table. We are proud to provide equal employment opportunities to all teammates and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Fraud Notice We’ve recently learned of fraudulent job postings and individuals falsely claiming to represent Evio. Protecting our candidates is incredibly important to us, and we want to share a few reminders: • All official communication will come from an email ending in @evio.com., • We will never conduct text-only interviews (SMS, WhatsApp, Telegram, etc.)., • We will never ask for payment, gift cards, fees, or purchases of any kind., • We will never request sensitive financial information during the recruiting process., • Our open roles are posted only on our official website, LinkedIn, and Greenhouse job board. If you believe you’ve encountered a scam, you can also report it to the Federal Trade Commission or the Internet Crime Complaint Center. Thank you for your care and vigilance — we’re grateful to everyone who helps keep our community safe. Information Disclosure We value transparency in our hiring process and want applicants to understand how your information is used. We collect and use personal information you provide during the application process such as your resume, employment history, education, interview responses, and other job-related information, to evaluate your qualifications for employment. This may also include limited technical and interaction data, such as IP address and device or browser information. We may use technology systems, including automated or AI-assisted tools, to review applications, identify candidates whose qualifications align with the role, and detect, prevent, and investigate potentially fraudulent or deceptive activity. Human reviewers remain involved, and these tools assist, not replace, human judgment. These measures support a fair and secure hiring process for all candidates. If you require a reasonable accommodation, please inform us upon invitation to interview. California privacy notice Consistent with California law, we use this information for recruiting, hiring, and related business purposes, including evaluating your candidacy and improving our hiring processes.

SmarterDx, a company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at . We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers. This role is fully remote within the US • Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions, • Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results, • Prototype analytics solutions and data products to accelerate product development, • Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications, • Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data, • Building, maintaining, and testing data models which support reporting and analytics., • Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning, • 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep), • Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations, • Masters in statistics or other relevant fields preferred, • Ownership: Build and own features from start to finish., • Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights., • Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so., • Product focus: How can we maximize the utility and value we deliver to our end users?, • Familiarity with experiment design and statistical analysis, • Experience with health system clinical and/or revenue cycle data is preferred, • Data Visualization: Hex and Evidence, • Analysis: Python & Data Science libraries (numpy, pandas, etc), • Pipelines: Snowflake, dbt, airflow, git, and AWS $160,000 - $190,000 #LI-Remote • Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan., • Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents., • Remote-First Team – Work from anywhere in the U.S., • Unlimited PTO & 10 Holidays – So you can relax and recharge., • 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match., • Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters., • Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

Position: DevOps Engineer (Full Time) Location: Remote / NYC -East Coast Position Reports to: SVP, Engineering TelmarHelixa: Where AI Meets Audience Insight and Media Planning Intelligence At TelmarHelixa, we don’t just analyze data—we unlock the potential behind it. We're the fusion of Telmar, a pioneer in global insights and media planning, and Helixa, a cutting-edge AI platform that turns billions of digital signals into real, actionable audience intelligence. We empower brands, agencies, and media platforms globally to discover, understand, and reach the people who matter most—through an integrated platform that combines traditional research, psychographics, social behavior, and media strategy. Why Work With Us? Tech with Purpose: AI and next-gen data tools to uncover deep audience insights that fuels analysis, research and planning globally. Global Impact: Influence marketing and media decisions for world-renowned brands and media agencies. Smart, Driven Team: Work alongside thinkers, builders, and data storytellers who are redefining what data intelligence looks like. ⚡ Fast-Paced Innovation: We're agile, future-focused, and constantly evolving—just like the audiences we analyze. What We Are Looking For: As TelmarHelixa continues its growth, we are expanding our DevOps organization with an engineer who thrives in ownership-driven roles. This position requires not just technical excellence but also the ability to take charge of projects without handholding. You will be responsible for optimizing, scaling, and implementing modernized digital infrastructure using AWS, Terraform, and Git. You will also work closely with engineering and security teams to build and enforce a security-first approach (least privilege access), troubleshoot complex scaling issues across the organization, and help shape the technical roadmap to ensure scalability, resilience, and cost efficiency. The position will report directly to the SVP of Engineering, and the role requires strong AWS technical skills and solid communication skills for collaboration with the rest of the development team, IT Product Management, and QA teams as we continue to grow TelmarHelixa infrastructure. RESPONSIBILITIES: • Lead DevOps tasks and initiatives end-to-end, from design through delivery, without requiring step-by-step oversight., • Optimize, deploy, and manage containerized workloads using Kubernetes (AWS EKS)., • Implement and maintain Infrastructure as Code using Terraform and CloudFormation., • Enhance and support existing and new CI/CD pipelines with Git, driving automation for builds, tests, deployments, and rollbacks., • Collaborate with security teams to proactively identify and remediate vulnerabilities, enforce best practices, and support compliance requirements., • Troubleshoot, diagnose, and resolve complex infrastructure and application issues across distributed systems., • Establish and evolve monitoring, alerting, and logging solutions for 24x7x365 visibility into system health and performance., • Partner with business and technology leadership to improvise and innovate solutions, shaping the long-term infrastructure roadmap., • Mentor junior team members in AWS, promote a culture of ownership, and ensure best practices are followed., • Serve as a key escalation point for outages, performance concerns, and critical system events. Qualifications: • 5-7+ years of DevOps, Infrastructure, or SRE experience in cloud-native environments., • Deep expertise with all-things AWS (EC2, ElasticSearch, S3, IAM, Bedrock, EKS, etc)., • Strong hands-on experience with Kubernetes and Git-based CI/CD workflows., • Proficiency in Terraform for Infrastructure as Code., • Strong programming/scripting skills (Python, Bash, or equivalent) for automation and troubleshooting., • Solid knowledge of high-availability architectures, load balancing, failover, and security best practices., • Ability to own initiatives, take charge of delivery, and drive outcomes with minimal supervision., • Strong collaboration skills with cross-functional teams, especially security and development., • Excellent communication skills and the ability to present technical solutions clearly to both technical and non-technical stakeholders. Nice to Haves: • Experience with the following technologies:, • Data logging and alerting (SIEM), • Data ETL and Scheduling tools, such as Airflow, Glue, etc, • Understanding data lineage and processing procedures, • Experience and Understanding of Compliance and Legal concepts, such as CCPA/CPRA, • Understanding around modern AI Concepts, such as LLM and ML processes and tools If you're looking to be part of a growing family of enthusiastic and hard-working individuals, we'd love to hear from you!

At NerdWallet, we’re on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds. We’ve built an inclusive, flexible, and candid culture where you’re empowered to grow, take smart risks, and be unapologetically yourself (cape optional). Whether remote or in-office, we support how you thrive best. We invest in your well-being, development, and ability to make an impact because when one Nerd levels up, we all do. Staff Data Scientist leads machine learning and decisioning systems powering personalization, lifetime value (LTV) prediction, and real-time commercial optimization across our marketplaces. This role is responsible for designing and scaling causal measurement and personalization systems that determine how we serve users while balancing customer value, partner economics, and long-term trust. As a senior individual contributor, you will drive high-impact modeling initiatives and shape the technical direction of data science across the organization. You are a technical expert and strategic partner who operates with significant autonomy and influence. As a Staff Data Scientist, you set the standard for scientific rigor, mentor senior ICs, and guide cross-functional teams without formal authority. You partner closely with Product, Engineering, Marketing, and Finance to align data science investments with business strategy, while shaping long-term vision for AI-driven personalization and marketplace optimization. This role reports to the VP, Data & Analytics. Lead the design and implementation of causal inference frameworks (e.g., uplift modeling, DML, IVs, DiD, synthetic control) to measure true incremental impact across personalization, marketing, and lifecycle interventions Establish and standardize methodologies for incrementality, experimentation, and measurement across channels and product surfaces Build and scale LTV models (user-level and cohort-based), including churn-adjusted and horizon-specific approaches, for real-time decisioning Develop and deploy personalization models that influence ranking, offer selection, content sequencing, and monetization strategies at the moment of user intent Ship production-grade machine learning models that directly drive revenue outcomes, including marketplace optimization, partner routing, and budget allocation Translate predictive outputs (e.g., conversion propensity, incremental CPA, expected LTV) into decision-ready signals for real-time systems Partner with Data Engineering and Platform teams to define data instrumentation, feature stores (batch and streaming), and model monitoring frameworks (drift, bias, stability) Influence architectural decisions across modern data and ML platforms (e.g., Snowflake, Databricks, Spark, real-time inference systems) Provide technical leadership across teams by setting best practices for experimentation, modeling, code quality, and reproducibility Mentor and develop senior and mid-level data scientists, raising the overall technical bar across the organization Communicate complex analytical insights and trade-offs to executive stakeholders, translating findings into actionable business strategies Shape long-term strategy for personalization, experimentation, and AI-driven growth at NerdWallet 8+ years of experience in applied machine learning, causal inference, experimentation, or related quantitative fields Deep expertise in causal inference methodologies (e.g., uplift modeling, doubly robust learners, instrumental variables, difference-in-differences, synthetic control, Bayesian time series) Proven experience building and operationalizing LTV models for real-time or near-real-time applications Strong software engineering and production ML experience, including Python (pandas, numpy, scikit-learn, LightGBM/XGBoost) and PySpark, Advanced SQL Experience with distributed systems and modern data platforms (e.g., Snowflake, Databricks, Spark, AWS/GCP/Azure), Version control and ML lifecycle tools (e.g., Git, MLflow) Hands-on experience with experimentation frameworks, A/B testing, and statistical diagnostics (e.g., power analysis, bias detection) Demonstrated success deploying models that materially impact revenue, efficiency, or user experience Exceptional communication skills with the ability to influence Product, Marketing, Finance, and executive stakeholders Strong strategic thinking and ability to operate in ambiguous, high-impact problem spaces Preferred Qualifications: Experience with marketplace optimization, ranking systems, or auction-based environments Familiarity with contextual bandits, reinforcement learning, or sequential decision-making systems Knowledge of streaming data architectures (e.g., Kafka, Kinesis), orchestration tools (e.g., Airflow, DBT), and feature stores (e.g., Tecton, Feast) Domain experience in fintech, marketplaces, growth, or performance marketing This role will be remote (based in the U.S.). We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family. Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?) Industry-leading medical, dental, and vision health care plans for employees and their dependents Rejuvenation Policy – Flexible Vacation Time Off + 11 holidays + holiday company shutdown New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care Mental health support Paid sabbatical after 5 years for Nerds to recharge, gain knowledge, and pursue their interests Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend (Only remote Nerds are eligible for the Wifi Stipend) Work from home equipment stipend and co-working space subsidy (Only remote Nerds are eligible for these stipends) Have Some Fun! (Nerds are fun, too) Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities Hackathons and team events across all teams and departments Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction Our Nerds love to make an impact by paying it forward – Take 8 hours of volunteer time off per quarter and donate to your favorite causes with a company match Plan for your future (And when you retire on your island, remember the little people) 401K with 4% company match Be the first to test and benefit from our new financial products and tools Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar Disability and Life Insurance with employer-paid premiums If you are based in California, we encourage you to read this important information for California residents linked_. NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment. NerdWallet will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and the San Francisco Fair Chance Act, which requires this, as well as the Los Angeles Fair Chance Act, which requires this. NerdWallet participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify program for all US locations. For more information, please see: E-Verify Participation Poster_) Right to Work Poster / #LI-Remote

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Auth0 Data Engineering Team Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups: • Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data, • Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making, • Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data The Staff Data Engineer Opportunity Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for strategic platform initiatives, beginning with a critical mission: making our data platform FEDRamp compliant. Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for the architectural evolution of our core data platform. This is a high-impact, strategic role where you will not be focused on day-to-day operations. Instead, you will lead the discovery, design, and implementation of the next-generation architecture for our data systems, ensuring they are scalable, reliable, and secure. You will work across multiple data, platform, and security teams to define the architectural roadmap and drive its successful execution. We are looking for a seasoned engineer who thrives on solving complex, ambiguous problems and can drive technical alignment across the organization. Please note: Due to the strategic nature of upcoming projects, this position is open only to US citizens or Green Card holders currently residing in the United States. What you’ll be doing • Lead the architectural design and evolution of our data platform, defining the roadmap for its future state., • Drive technical strategy for large-scale platform enhancements, balancing long-term goals with incremental delivery., • Collaborate deeply with engineers and leaders from other data, platform, and security teams to create a unified and secure architecture., • Produce architectural artifacts, including design documents, threat models, and technical specifications, to create clarity and alignment for complex initiatives., • Act as a technical mentor and force-multiplier for the Data Engineering team, elevating the performance of the group through guidance, code reviews, and sharing best practices., • Implement foundational components of new architecture, proving out designs with hands-on coding and providing a model for other engineers to follow. What you’ll bring to the role • A passion for building secure, reliable, and scalable data systems., • 8+ years of software development experience, with at least 5+ years in a data engineering or data platform role., • Proven experience designing and delivering large-scale, cross-functional technical projects., • Extensive experience architecting and deploying data infrastructure in a cloud environment (AWS strongly preferred)., • Deep architectural knowledge of the modern data stack, including data warehouses (Snowflake), transformation tools (dbt), and orchestrators (Airflow)., • Strong proficiency in Python and SQL, with a high bar for code quality and system design., • Excellent communication skills, with the ability to create clarity and drive decisions on complex technical topics., • The ability to deal with ambiguity, define a path forward, and lead others to successful outcomes. And extra credit if you have experience in any of the following! • Direct experience with security compliance frameworks like FEDRamp, SOC2, or HIPAA., • Hands-on experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes)., • Experience working in government cloud environments (e.g., AWS GovCloud)., • Familiarity with the Identity Access & Management (IAM) domain. We safeguard Okta from threats and vulnerabilities that could disrupt our business or erode our customers’ trust. The Defensive Cyber Engineering organization is responsible for the Security Data Platform, infrastructure, and tooling that enable Okta’s Detection and Response capabilities. The team also manages enterprise security tools and infrastructure that support XDR, DLP, and SSPM capabilities. The Role We are expanding this team to support Okta’s Public Sector roadmap by hiring a Staff Software Engineer in the DC area. You’ll work closely with Security, Business Technology Engineering, and Product teams to implement and manage security solutions, ensuring our core infrastructure applications protect our workforce, endpoints, and corporate data. To deliver on this vision, you will build data and infrastructure platforms by leveraging your software, data, and security engineering skills. You’ll use automation, policy-as-code, and cloud-native technologies to deliver scalable, resilient, and secure solutions. What you bring: • 8+ years of strong coding and scripting experience, with a focus on building automation and custom tooling for infrastructure and data pipelines. Experience with Python is required; proficiency in other languages (e.g., Bash, PowerShell, Go) is a plus., • Experience developing and maintaining ETL/ELT pipelines for onboarding security data into Okta’s security data lake., • Experience working with security teams to integrate log sources and ensure seamless data ingestion., • Ability to build and maintain scalable, fault-tolerant data pipelines to process security event data., • Proven track record of automating security controls and workflows using a cloud-first approach., • Experience with Terraform and other infrastructure-as-code tools to orchestrate security infrastructure., • Familiarity with CI/CD pipelines for security automation and drift management., • Strong communication skills, with the ability to collaborate with technical staff, support teams, executive leadership, and external vendors., • 2+ years of experience building engineering solutions within highly regulated environments such as FedRAMP High, IL4, IL5, and/or IL6 is a plus., • Current or previous Secret, Top Secret (TS), or Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is a plus. What you’ll be doing • Serve as a security subject matter expert (SME) for solution engineering and architecture reviews, preferably in the Detection and Response and/or enterprise security tooling space., • Lead technical efforts to evaluate, design, and implement new enterprise security systems and feature enhancements., • Build, maintain, and enhance custom automation and cloud infrastructure using Terraform or similar tools to support team workflows and enforce security controls., • Develop integrations with APIs, cloud platforms (AWS, GCP, Azure), and security infrastructure to improve detection, response, and remediation., • Write and maintain scripts and automations, with an emphasis on Python-based solutions, to streamline security operations., • Establish monitoring and alerting for security posture, misconfigurations, and threats across endpoints, SaaS, and cloud workloads., • Proactively identify and remediate security gaps; stay updated on emerging threats, solutions, and tooling across the industry. And extra credit if you have experience in any of the following! • Advanced identity management technologies (MFA, SAML, OAuth, OIDC, WebAuthn), • Deep understanding of Okta's ecosystem, including advanced configuration and integrations, • Experience with continuous compliance solutions (e.g., policy-as-code, automated evidence gathering) Additional requirements: • This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. #LI-HYBRID #LI-SH1 P15265_3426903 Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit:_. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $174,000 - $238,700 USD The Okta Experience • _, • _, • _ We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please _ to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please _ to view our full NYC AEDT Notice. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at _.

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: Founded in 1995 as Angie’s List and rebranded in 2021 Global company with 9 brands in 8 countries and employees worldwide Homeowners have turned to us for 300 million home projects and counting About the team: Angi is seeking a Senior Engineer I to join our Data Infrastructure team, responsible for building and operating the foundational platforms that power data processing, storage, and analytics across the organization. This role will focus on evolving our lakehouse architecture, data replication systems, and orchestration frameworks while enabling scalable, reliable, and efficient data workflows. While this is a remote position, we are a global company and are looking for applicants located in the eastern time zone to align with our team's working hours. What You'll Do: Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute) Ensure high availability, scalability, and performance of platform services supporting enterprise data workloads Contribute to infrastructure architecture decisions aligned with large-scale, modern data platform standards Partner closely with engineering, analytics, and product teams to support data platform adoption and migration initiatives Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows Participate in on-call rotations and lead troubleshooting efforts for complex production issues Produce clear, comprehensive documentation and operational runbooks to support platform usage and reliability Who You Are: 5+ years of experience in infrastructure, platform engineering, or data engineering roles Experience working on highly cohesive engineering teams that collaborate in real time to solve complex technical challenges Strong background in infrastructure architecture within large-scale or enterprise environments Hands-on experience with cloud platforms (e.g., Amazon Web Services), container orchestration (e.g., Kubernetes), and distributed systems Experience with data platforms, including lakehouse architectures, data replication, and orchestration frameworks (e.g., Airflow, Kafka, Trino, Iceberg) Demonstrated experience using AI/agentic engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to improve development efficiency and workflows Demonstrated ability to pivot quickly in response to changing priorities while maintaining high-quality delivery Strong communication skills with the ability to clearly articulate technical concepts and tradeoffs to stakeholders Proven ability to collaborate cross-functionally and engage effectively with both technical and non-technical partners Track record of producing clear, high-quality documentation and enabling others through shared knowledge Mindset of an enabler—focused not only on building systems, but on empowering other teams to use them effectively Compensation & Benefits The base salary band for this position ranges from $115,000 - $205,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location. This position will be eligible for a competitive year end performance bonus & equity package Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Pet discount plans & retirement plan with company match (401K) The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world We Value Diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. #LI-Remote

TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As a Senior Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people. The impact you’ll have here: Build highly reliable data services to integrate with dozens of blockchains. Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time. Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability. Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products. What we’re looking for: A Bachelor's degree (or equivalent) in Computer Science or a related field. A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment. Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL. Versatility that spans the entire spectrum of data engineering in one or more of the following areas: In-depth experience with data stores such as Iceberg, Trino, BigQuery, and StarRocks, and Citus. Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc. Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink. Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog. Proven ability in loading, querying, and transforming extensive datasets. About the Team: The Data Platform team is the funnel between all of TRM's data world and product world. We care about all layers of stack including petabyte of data stores, pipelines, and processes. We have quite a big scope as a the team with new and exciting projects every quarter. As a result, we collaborate across the board with most teams at TRM. We believe in async communication and are also not afraid to jump on a quick huddle if that helps to move things faster. We are both scrappy when the situation demands and also process-oriented when we need to achieve our OKRs. We are always looking for people who can elevate the quality our tech and our execution. If you enjoy a remote-first and async friendly environment to achieve efficacy and efficiency at petabyte scale, our team could be a great pick for you! Team members are based in the US across almost all timezones! We do try to reserve some overlap in the day for meetings. Our north star - no IC spends more than 3-4 hours/week in meetings. Learn about TRM Speed in this position: Build scalable engines to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc. Enable tasks to be faster next time and reducing dependency on a single person. Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months. Identify first version, a.k.a., "skateboards" for projects. For instance, build an observability dashboard within a week. Gather feedback from stakeholders after to identify more needs or bells and whistles to add to the dashboard. About TRM's Engineering Levels: Engineer: Responsible for helping to define project milestones and executing small decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing. Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing. Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor. The following represents the expected range of compensation for this role: Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only. The estimated base salary range for this role is $190,000 - $220,000. Additionally, this role may be eligible to participate in TRM’s equity plan. Please note – we factor in the different costs for geographies outside the United States. We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: Priorities and targets to change quickly as we experiment and iterate Work that often requires operating with a high degree of ambiguity A high level of personal ownership and accountability Close collaboration across teams and functions Frequent, high-touch communication Creative problem solving and out-of-the-box thinking A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: _ AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: Accelerate repeatable workflows Structure and solve problems Improve output quality Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the _. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this _. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this _. TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

Who We Are: HelioCampus was founded with the purpose of helping college & university leaders navigate today’s growing pressures. As one of EdTech’s most steadily growing companies, our roots in higher ed ground us in the critical nature of this work. What We Do: We help our clients navigate today’s high stakes with data and Institutional Performance Management practices. Together with our clients, we chart a path to sustainability by borrowing practices from the most successful businesses. How We Do It: We approach our work with a “we’re on it” attitude that the higher ed community has come to know and expect from our team. We’re data geeks to our core, committed to simplifying the toughest challenges and operating with transparency. Our most successful team members are change agents who love a challenge. How You'll Help: As a Data Scientist, you will partner with college and university stakeholders to turn business questions into data questions and deliver analyses, predictive models, reports, and AI/ML solutions that support institutional decision-making and student success. You will design and prepare analytical datasets, conduct exploratory and statistical analysis, develop and maintain machine learning and forecasting models, configure and deploy AI/ML products, build interactive dashboards, and clearly communicate insights to higher education leaders and staff. In this role, you’ll work independently and collaboratively with data scientists, analysts, engineers, and client stakeholders to deliver meaningful, actionable results across student success, institutional effectiveness, and operational efficiency. What You Will Do: Communicate with stakeholders to determine institutional goals, and design analyses and data visualizations to provide insight to complex business problems. Conduct exploratory data analysis in collaboration with subject matter experts to build and validate analytical datasets. Develop statistical and machine learning models (classification, time series, etc.) using a custom python framework to generate scores and forecasts. Present predictive modeling results and operational dashboards to end-users at colleges and universities to help them understand and make use of the findings and scores. Work with data science and data engineering teams to build data pipelines, improve internal systems, and deploy and maintain models in a production environment. Collaborate with other data scientists to share knowledge, develop best practices, and contribute to documentation, process standardization, and product development. Occasionally travel (typically 1-3 days at a time, ~3 times per year) to HelioCampus offices and client sites for meetings and presentations. You Will Be a Good Fit For This Role If You Have: Experience building analyses using educational industry data at a Higher Ed institution or EdTech company, especially in the areas of admissions, enrollment, financial aid, student success, institutional effectiveness, or finance/budget. 3+ years of experience delivering analytical insights to higher ed stakeholders, including building and evaluating machine learning models (python and scikit-learn experience required). Analytical dataset design and feature engineering skills (SQL and python). Ability to conduct, interpret, and explain statistical analyses. Experience using interactive data visualization and business intelligence tools (Tableau and/or Power BI) to design and publish interactive reports and dashboards, enabling data exploration and communication of analysis results. Excellent communication and collaboration skills, and experience working with both business users and technical development teams, as well as presenting findings to decision-makers. Ability to work effectively and independently in a remote role, managing multiple priorities and meeting deliverable deadlines. Understanding of model transparency & explainability concepts, and ethical issues in data science. Familiarity with production data pipeline and model deployment and management. Familiarity with relational database and data warehouse concepts. Familiarity with a variety of machine learning methodologies, forecasting techniques, and generative AI (LLMs). A tool-agnostic approach to data science: excitement for adopting new tools and techniques, while having solid fundamentals that underpin quick learning and high quality work delivery. Nice To Have’s Include: Advanced degree in an analytical/quantitative field (Comparable depth of experience can be substituted for quantitative field of study or advanced degree). Experience working with student data in PeopleSoft, Banner, Colleague, Workday, Slate, Salesforce/TargetX, or other higher ed-specific data systems. Experience working remotely with distributed teams and clients. Experience with version control (git), software development processes, object oriented programming, and machine learning framework development. MLOps experience deploying and maintaining production pipelines and models. Experience applying a wide range of supervised and unsupervised machine learning and forecasting techniques using a variety of python packages. Experience working with any of the following tools: jupyter notebooks, pandas, Docker, linux server/command line, EC2, S3, Amazon Redshift, airflow, SHAP, MLFlow, prophet, VS Code. Experience using AI tools/services to increase delivery efficiency without sacrificing quality (for example - having built enough depth of coding experience to critically evaluate AI-generated code and avoid introducing issues that lead to future rework). Experience with LLM Evaluation methods and frameworks. Projects You Will Work On: Developing classification models to predict admitted student yield, enrolled student retention, or on-time graduation, and presenting results to university leaders designing programs to improve student outcomes and support institutional success. Designing and publishing interactive dashboards to enable end-users to operationalize model results to make an impact at colleges and universities. Helping institutional stakeholders understand financial need and aid correlation with student success metrics. Forecasting enrollments using time-series methods to support budgeting and hiring decisions. Partnering with senior Data Scientists and other colleagues to improve our products and processes using new techniques, tools, and AI. Contributing to extensible python machine learning development and deployment framework. Documenting data pipelines, ML workflows, and deployed models for both internal teams and client end-users. Presenting webinars about our team’s work to current and prospective clients. Location: HelioCampus has two locations, Bethesda, MD and Chapel Hill, NC. This specific role is primarily remote, with occasional travel to an office or client site. Compensation and Benefits: HelioCampus offers employees a competitive salary along with paid time off, healthcare, vision, dental, 401(k) w/ company match, parental leave, remote work flexibility, home office perks, and a fun, collaborative work environment. What Sets Us Apart: 1. Commitment to Higher Education: We believe that serving higher ed makes the world a better place. This drives our desire to deliver high-quality products and services to help higher education institutions serve their students and communities. 1. Flexibility to Fit Your Life: HelioCampus employees enjoy the autonomy, freedom, and trust of a remote-first working environment. We embrace an “on it” mentality both in and out of the workplace, and employees are supported in pursuing personal and professional passions. 1. A Community of Bright Minds with Big Hearts: HelioCampus hires curious and talented practitioners who bring a diversity of thought and genuine care for one another and our clients to work every day. Our team members are more than a job description and are encouraged to show up as their full and authentic selves. What We Believe: HelioCampus is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Disclaimer: The list of responsibilities described above is not comprehensive. Other tasks not mentioned here may be required. Changing business conditions may trigger changes to job responsibilities. This job description is not an employment contract. Physical Qualifications: This position requires the following physical qualifications to support a productive remote work environment. We are dedicated to providing reasonable accommodations for individuals with disabilities to perform the essential functions of this role. If you require accommodations, please discuss this during the application process. Vision: Sufficient visual acuity to read documents, view computer screens, and engage in tasks that require attention to detail. Hearing: Ability to communicate effectively in person (as applicable) and via phone or video conferencing, ensuring clear understanding of verbal instructions. Fine Motor Skills: Proficient use of hands for typing, using a mouse, and managing office equipment such as printers and scanners. Lifting: Occasional lifting of up to 10 pounds (e.g., office supplies or equipment).

Dave is a financial app on a mission to build products that level the financial playing field. It is redefining the financial landscape by leveraging technology to create an affordable, transparent, and user-centric access to liquidity for millions of Americans. As a leading innovator in the U.S. financial services sector, Dave’s digital financial platform offers products designed to meet the credit needs of those underserved by traditional financial institutions. Dave’s offerings include its flagship ExtraCash product, providing members up to $500 in short-term advances within minutes. The company is on track to launch several new product offerings in 2026, including a Buy Now Pay Later (BNPL) option. Dave is focused on serving Americans who are financially vulnerable or living paycheck to paycheck. Dave is leading the charge in creating a new era of credit products that prioritizes speed, affordability, and accessibility, making it the go-to financial partner for those who need it most. Dave is on a mission to build financial products that level the playing field. We serve millions of Americans who have been overlooked by traditional systems, giving them faster, more transparent access to liquidity when they need it most. We’re hiring a Lead / Staff AI Acceleration Engineer to help define how AI is built and used across Dave. This is a foundational role on the AI Acceleration team. You’ll help shape the systems that power how AI agents are created, connected to data, and safely deployed across the company. Your focus is not just building individual solutions. You’ll create the underlying infrastructure and patterns that allow teams across Dave to build and trust AI-driven workflows. Early work centers on analytics automation — agents that generate insights, detect anomalies, and handle recurring reporting. You’ll partner closely with Data Engineering, building on a trusted data platform to create an AI Agent Factory that scales across the business. The AI Agent Factory: shared patterns, templates, and infrastructure that make it easy to build and deploy reliable agents Systems that connect LLMs to structured data safely, including access control, context delivery, and governance Integrations with the semantic layer to ensure agents and dashboards use consistent business definitions Evaluation and observability frameworks that help teams understand agent quality and behavior over time Guardrails that reduce risk, including protections against hallucinations, cost overruns, and data misuse Early analytics automation agents that teams rely on for insight generation and exploration You’ll help establish how AI operates across Dave. When this work is successful, teams move faster with better information — and spend less time waiting on manual analysis. Experience / Technical Foundation 6+ years in data engineering, ML engineering, AI infrastructure, or platform engineering Hands-on experience building LLM-powered applications, agents, or tool-use systems in production Experience connecting LLMs to structured data in a safe, reliable way (APIs, data access layers, context delivery, governance) Strong software engineering fundamentals, including testing, monitoring, and production reliability Experience with modern data and ML tooling (e.g., Python, Snowflake, dbt, Airflow, Kafka, Kubernetes or equivalents) Experience operating production systems, including CI/CD, monitoring, and incident response Bonus Experience designing evaluation frameworks for AI systems Familiarity with semantic layer tools (e.g., dbt metrics layer, LookML) Experience in fintech or other regulated environments Experience building internal platforms or developer tooling used across teams Exposure to data lineage, audit systems, or compliance automation You take responsibility for outcomes, not just implementation. You think in systems — how agents interact with data, how teams adopt what you build, and how decisions scale across the company. You’re thoughtful about trade-offs and build solutions that hold up over time. At the Lead level, you tend to focus on execution and reliability — building and operating systems end-to-end. At the Staff level, you also shape direction — defining patterns, influencing architecture, and guiding how the AI layer evolves across Dave. You work well across teams. This role sits at the intersection of Data Engineering, Product, and Analytics, and success comes from building systems others trust and adopt. You’re open to feedback and adjust when new information changes direction. This is a build-from-zero environment in parts. Not everything is fully defined, and you’ll help shape how AI is applied across the company. Priorities will evolve as we learn, but the focus remains on practical use cases with real impact. You’ll have meaningful ownership, paired with a team that values collaboration, clear thinking, and steady progress over time. Build foundational AI systems that shape how an entire company operates Work on real problems with direct impact on millions of members Partner with strong teams across data, product, and engineering Contribute to a mission focused on expanding access to financial tools Ready to build for the underdog? Reports to: Director, Data Platform & AI Acceleration Don’t let imposter syndrome get in the way of an incredible opportunity. We’re looking for people who can help us achieve our mission and vision, not just check off the boxes. If you’re excited about this role, we encourage you to apply. You may just be the right candidate for this or other roles. Why you’ll love working here: At Dave, our people are just as important as our product. Our culture reflects the values that guide who we are, how we work, and what we aspire to be. Daves are member-centric, helpful, transparent, persistent, and better together. We strive to create an environment where all Daves feel valued, heard, and empowered to do their best work. As a virtual-first company, team members can live and work anywhere in the United States, except Hawaii. A few of our benefits & perks: 💚 Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals 💻 Flexible hours and virtual-first work culture with a home office stipend 🏥 Premium Medical, Dental, and Vision Insurance plans 👶 Generous paid parental and caregiver leave 💰 401(k) savings plan with matching contributions 📈 Financial advisor and financial wellness support 🏖️ Flexible PTO and generous company holidays, including Juneteenth and Winter Break 🎉 All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team Dave Operating LLC is proud to be an Equal Employment Opportunity employer and is dedicated to cultivating a diverse and inclusive workplace. We will consider for employment all qualified applicants and do not discriminate on any basis protected by federal, state, or local law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history. #LI-REMOTE

A Little About Us EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit _ Candidate Note: This role is 100% remote for candidates based in EST or CST only We are seeking a Solution Developer to join our engineering team. This is a versatile role requiring a mix of full-stack web development, data pipeline engineering, and cloud infrastructure management. You will be responsible for designing, building, and maintaining applications that involve both user-facing interfaces and complex back-end automation. The ideal candidate is a technical generalist who is comfortable working across multiple languages (JavaScript and Python) and is eager to adopt new technologies as our stack evolves. • Develop and maintain responsive web applications using Next.js and Node.js., • Write clean, maintainable code in Python for backend services and data processing scripts., • Build and monitor automated workflows and data pipelines using Airflow and dbt., • Design and implement secure, scalable RESTful APIs., • Manage and deploy applications within an AWS environment, ensuring cloud best practices are followed., • Optimize database performance and manage data migrations in Postgres., • Quickly learn and implement new frameworks or tools based on project-specific requirements, • Frontend/Backend: 5+ years of experience with JavaScript/Typescript & Node.js; with deep understanding of the Next.js framework; and strong experience with API development & integrations, • Python: Proven experience using Python for application development or data engineering., • Cloud: Working knowledge of AWS core services (e.g., EC2, S3, Lambda, RDS)., • Data Tools: Experience in Pipeline Development, specifically transforming data with dbt and/or workflow tools like n8n along with scheduling tasks with Airflow., • Automation: Experience with workflow automation platforms (e.g., n8n, Zapier, or custom-built solutions)., • Database: Strong SQL skills and experience managing PostgreSQL databases (schema designs; complex queries and optimization)., • Version Control: Proficient in Git version control (branching, PRs, code reviews) and implementing CI/CD workflows to ensure stable, high-quality code delivery., • Adaptability: Ability to switch between different programming languages and technical domains (e.g., moving from a UI task to a data pipeline task)., • Problem-Solving: A track record of identifying technical bottlenecks and implementing efficient solutions., • Continuous Learning: A proactive approach to learning new technologies and staying current with industry trends. EDB is committed to supporting our employees' overall well being by offering a range of benefits and resources to promote a healthy work-life balance and wellness. We provide access to CuraLinc to aid employees in health and wellness tips and practices, as well as Wellness Fridays extending to December 2026! Check out our career site for more information on perks and benefits and reach out to our Talent Acquisition team for region specific benefits. We know it takes a unique mix of people and skills to help us in our mission to supercharge Postgres, and we understand that not everyone will check every box. We’d love to hear from you and we want you to apply! EDB is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. EDB was built on a commitment to trust and respect each other and to embrace an array of people and ideas. These values remain at the center of our culture and are key to our company’s integrity. EDB does not seek or accept unsolicited resumes or CVs from recruitment agencies. EDB and its affiliates are not responsible for, and will not pay, any fees, commissions, or any other similar payment related to unsolicited resumes or CVs except as required in a written signed agreement between EDB and the recruitment agency or party requesting payment of a fee. #LI-Remote

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. The Data Movement team is looking to hire a Software Engineer who is excited to solve large scale data platform and efficiency challenges. Reddit’s mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com. Our community of users generates over 100B events per day, each of which is ingested into a data warehouse that sees 55,000+ daily queries. We utilize this data to enable both batch and streaming based ML and BI workloads at the company. Critical teams such as ads, feed generation, and ML experimentation rely on the Data Platform to generate revenue for Reddit. The Data Movement team within this group is specifically responsible for empowering the business to more efficiently process data and orchestrate these data workloads. As a software engineer, you will work with teammates and partner teams to create and improve scalable, fault tolerant, self-serve systems. You will also also: • Refine and maintain our data infrastructure technologies to support ML and analytics workflows on data collected from hundreds of millions of users., • Own the Data Movement Platform used to enable batch and stream data processing at Reddit., • Invest in building new infrastructure for Spark, Flink, and Airflow technologies at Reddit, including contributing to the open source community as needed., • Build automated solutions to minimize toilsome work for data users at Reddit and provide a declarative, self-service experience for working with data., • Collaborate with teammates to share on-call responsibilities and support monitoring/alerting to improve the reliability, scalability, latency, and efficiency of Reddit’s Data Platform. If you have a passion for building and maintaining high quality code, want to improve how Reddit makes strategic decisions at the company level, and are excited about applying engineering best practices to one of the most powerful corpus of data in the world, then this is the team for you! Who you might be: • 2+ years of software engineering experience in a production setting writing clean, maintainable, and well-tested code, • Proficient in object-oriented programming languages like Python, Scala, Go, or Java., • Demonstrated expertise in designing and implementing large-scale systems, diligently monitoring project progress, and showcasing proactive leadership as a self-starter on diverse projects., • Experience working with cloud services, Airflow, Kubernetes, CI/CD, Spark, Flink and/or working with modern cloud-based infrastructure., • Excellent communication skills tailored for effective collaboration within both a service-oriented team and the broader organizational context. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,200 - $229,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. About the role Starburst is looking for an experienced Data Engineer to build and enhance internal usage, telemetry, and product data analytics for both Starburst Enterprise and Starburst Galaxy. This role focuses on using our own software to better understand our customers and how they use our products. In addition, since data engineers are one of our key target personas, you will be able to provide valuable feedback to our teams as you use the products, in terms of performance, user experience, and integration with the larger data engineering ecosystem. You’ll work closely with our dynamic, talented, global engineers while emphasizing quality and speed to insights. As a Staff Data Engineer at Starburst you will: • Build and manage a high quality data lake to support various aspects of Startburst’s business, including product management, finance, customer support, and engineering., • Find innovative ways to use Trino and Starburst to solve data management challenges, • Collaborate with technical leads, product managers and data analysts to build robust data products and analytics, • Leverage AI to democratize access to datasets for users throughout Starburst., • Enable dataset preparation and model evaluation for Starbursts’ AI projects, • Define and adapt data engineering processes and best practices to focus on execution and getting reliable answers to important business questions, • Work closely with leaders from other teams and departments to iterate on both data architecture and design of data solutions, focusing on high-quality results accessible at several levels, • Envision innovative approaches to data management and work with Starburst’s product teams to bring those innovations to market. Some of the things we look for: • At least 7 years of data engineering experience, and a clear passion for data and analytics, • Enthusiasm for working both independently and collaboratively with strong, diverse, high-performing teams to get value and insights from data, • Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks., • Experience managing data infrastructure in public clouds., • Experience using and managing orchestration frameworks such as Apache Airflow or Dagster., • Knowledge of RAG and other design patterns for AI applications, • Fluency in SQL, • Experience building API integrations for extracting data from third party sources., • Excellent coding ability in Java, Python or Scala., • Knowledge of data modelling techniques which are appropriate for modern data lakes, • Experience with a variety of AWS services such as EMR, EC2, S3, and IAM. Multi-cloud experience (GCP/Azure) is also nice to have., • Able to use Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible., • Demonstrable experience in delivering value and hitting deadlines consistently, • Has disciplined software engineering practices, including high code quality, extensive automated testing, and rigorous code review, • Highly proficient in both written and verbal communication, coupled with strong organizational abilities Where could this role be based? Remote, US Starburst is dedicated to maintaining fair and equitable compensation practices. The salary range provided for this role reflects the minimum and maximum targets for candidates across all U.S. locations and could be inclusive of variable compensation, such as commission or bonus. All employees receive equity packages (ISOs) and have access to a comprehensive benefits offering. Actual compensation packages are determined based on relevant skills, experience, education and training, and specific work location. For more information, connect with the recruiting team or Hiring Manager during the process as they can provide more detailed information about the salary range. Pay Range $227,850 - $278,250 USD All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry – and the future. Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more. We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically. Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-Remote #BI-Remote

We're looking for a Senior Software Engineer, Data Platform, to join our quest to provide market-transforming solutions for businesses, care teams, and consumers to interactively manage health and care. At Medecision, each person contributes uniquely to our mission and our ability to raise the level of experience we provide to all our customers and colleagues. The Senior Software Engineer on the Data Platform team plays a pivotal role in designing, building, and evolving the Data Platform — the multi-tenant, cloud-native data backbone that powers clinical analytics, population management, and reporting across Medecision's health plan customers. This includes owning data ingestion pipelines, standardization and curation workflows, analytics data delivery, and the infrastructure that makes it all run reliably at scale. They also serve as a key practitioner in Medecision's AI-native SDLC, leveraging Claude Code and AI agents to accelerate development, code review, and documentation at scale. What We're Looking For: The ideal candidate for the role of Senior Software Engineer, Data Platform, will demonstrate a true passion for building reliable, scalable, and secure data pipelines and platform services in a regulated healthcare environment. They will share our passion for driving improvements in healthcare through better data. The Senior Software Engineer must have the ability to perform at the highest levels, often partnering cross-functionally with Solution Architects, Tech Leads, Data Engineers, Business Analysts, and QA Engineers to ensure that complex, data-intensive features are delivered with the optimum amount of quality, reliability, and clinical correctness. Critically, they embrace AI as an amplifier — not a shortcut — and apply it with judgment, rigor, and accountability. • Reports to: VP/Director, Engineering Location(s): Remote, US Requirements What You'll Do: Core Engineering Responsibilities • Design, develop, and maintain production-grade Python and Java data services and pipelines deployed on Google Cloud Platform, following established architectural conventions, coding standards, and data platform patterns., • Build and evolve Google Cloud Dataflow batch and streaming pipelines for data ingestion, standardization, curation, and analytics load. Handling deduplication, validation, member-reference integrity, and incremental/full-reload modes., • Implement and maintain event-driven data workflows using Google Cloud Pub/Sub, including file-complete notification topics, FHIR ingest topics, and Pub/Sub ? BigQuery export subscriptions., • Design and manage BigQuery datasets, table schemas, partitioning strategies (range-bucket by member partition), clustering, and reporting views — across standard analytics, custom analytics, and curated storage layers., • Build and maintain Cloud Composer (Apache Airflow) DAGs for workflow orchestration — including file ingestion DAGs, test execution DAGs, and third-party processing DAGs (e.g., MEG)., • Develop and maintain Cloud Run microservices (e.g., Ingestion Event Service, Custom Dataset Management Service) and Cloud Functions (inbound GCS bucket triggers)., • Participate in design and code reviews; mentor junior engineers and contribute to shared coding standards, patterns, and team knowledge base., • Collaborate with on-shore and off-shore teams, architects, and tech leads to ensure on-time delivery and best engineering practices., • Contribute to CI/CD pipeline improvements using GitLab CI/CD, including build, test, containerization (Docker), and deployment automation to GCP environments., • Engage proactively in the triage and resolution of escalated production issues — diagnosing failures, investigating root causes, and driving durable fixes with a sense of urgency, clear communication to stakeholders, and a commitment to preventing recurrence., • Follow and comply with all security policies and procedures established by the organization, including adherence to HIPAA and HITRUST regulations, • Applicants must be authorized to work for any employer in the US. This position does not offer sponsorship for employment visas. Data Platform Domain Focus Medecision's unified Data Platform is a multi-tenant, cloud-native system that ingests, standardizes, curates, and delivers clinical data (Member, Provider, Claims, Lab Results, Rx, and custom datasets) to power analytics, population management, and reporting for health plan customers. Key domain responsibilities include: • Own and evolve the end-to-end data ingestion pipeline: from SFTP/GCS file receipt through ingestion, standardization, curation, and load to BigQuery analytics datasets., • Design and implement custom dataset ingestion capabilities — including dynamic schema mapping, configuration-driven pipeline execution, and automatic BigQuery table/view provisioning on dataset activation., • Maintain and improve the Ingestion Event Service (IES). The platform's central tracking service for data ingestion progress — including Pub/Sub async processing and Firestore document management., • Implement FHIR R4 data ingestion workflows via Pub/Sub and GCP Healthcare Datasets, including XSD/schema validation and HL7 resource mapping., • Support population matching data flows, ensuring custom dataset filters integrate correctly with population builder services and BigQuery analytics queries., • Build and maintain reporting dataset views (BI-compatible BigQuery views) for tenant data exposure., • Integrate with third-party clinical analytics engines via GCE VM instance templates, Airflow DAGs, and GCS-based data exchange., • Ensure all data services meet HIPAA requirements: PHI handling, tenant data isolation, audit logging, and data classification. AI-Native Delivery (Required) Medecision operates an AI-native SDLC. The Senior Software Engineer is expected to be a practitioner — not just a beneficiary — of AI-assisted delivery: • Demonstrate a solid understanding of AI concepts, capabilities, and limitations as they apply to software engineering workflows, including code generation, test scaffolding, and documentation., • Use Claude Code as a primary productivity tool for code drafting, refactoring, test generation, and technical documentation — applying it with judgment, rigor, and accountability., • Leverage AI-assisted workflows to accelerate implementation, surface edge cases, generate structured artifacts, and conduct at-scale analysis of service dependencies and API contracts., • Contribute to building and exposing MCP-wrapped APIs that enable AI agents to safely interact with platform services., • Maintain strict HIPAA discipline in all AI-assisted work: no real PHI in prompts or AI-generated artifacts; adhere to managed-settings policies and complete mandatory HIPAA + AI training., • Contribute to the team's shared AI knowledge base. Validated prompts, skills, and workflows — and participate in the AI Champions community of practice. What You'll Bring: Required • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or equivalent practical experience., • 5+ years of data engineering or backend software engineering experience building production data pipelines and platform services., • Proven hands-on experience with Google Cloud Platform data services: BigQuery (schema design, partitioning, clustering, query optimization), Cloud Storage, Cloud Pub/Sub, Cloud Dataflow (Apache Beam), Cloud Composer (Airflow), Cloud Run, Cloud Functions, Firestore, Cloud SQL (PostgreSQL), and Secret Manager., • Strong proficiency in Java for data pipeline development, • Proficiency in Python for Airflow DAG authoring, and automation scripting., • Experience designing and implementing batch and streaming data pipelines — including file-based ingestion, event-driven processing, deduplication, validation, incremental load, and full-reload patterns., • Proficiency with BigQuery data modeling: partitioned and clustered tables, dataset organization (standardized, curated, analytics, custom analytics, reporting layers), and SQL query optimization., • Experience with Apache Airflow / Cloud Composer — authoring, deploying, and maintaining production DAGs with parameterized configurations and robust error handling., • Experience with containerization (Docker) and deploying services to cloud-native environments., • Proficiency with GitLab CI/CD for pipeline automation and multi-environment deployment., • Excellent communication skills — able to articulate technical decisions, participate in design reviews, and collaborate effectively with cross-functional teams., • Familiarity with Datadog for service monitoring, alerting, and observability in a cloud-native data platform., • Familiarity with Sisense or equivalent BI/reporting platforms and BigQuery view-based reporting patterns. AI-Native Mindset (Required) • Solid understanding of AI concepts, capabilities, and limitations as they apply to software engineering and product delivery workflows., • Hands-on experience with Claude Code or equivalent AI-assisted tools. Used as a primary productivity tool for code generation, refactoring, test scaffolding, and documentation, not just experimentally., • Ability to evaluate AI-generated code critically: identifying hallucinations, logic errors, security gaps, and missing edge cases before they reach production., • Practical understanding of MCP (Model Context Protocol) or strong willingness to learn — for building tool wrappers that expose platform APIs to AI agents safely and with appropriate guardrails., • Commitment to responsible AI use: applying AI with judgment, rigor, and personal accountability. Consistent with the principle that humans own decisions, agents own toil., • HIPAA discipline in AI-assisted work: understanding of PHI boundaries in AI workflows and commitment to managed-settings policies and mandatory HIPAA + AI training., • Openness to contributing to and learning from a shared AI knowledge base. Validated prompts, skills, and workflows — and active participation in the AI Champions community of practice. Strongly Preferred • Knowledge of HIPAA and experience working in HIPAA-regulated product environments, including PHI handling, data classification, and audit requirements., • Hands-on experience with HAPI FHIR R4 and healthcare interoperability standards (HL7, FHIR resource mapping, validation workflows)., • Understanding of multi-tenant SaaS architecture patterns — tenant context propagation, per-tenant feature flags, and data isolation. Salary Description $130,000 - $155,000

Our Purpose At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes. Our Founders Fiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join Us Our team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security. We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer. Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space. As a Solutions Architect, Customer Success at Fiddler, your mission is to ensure our customers achieve meaningful, measurable outcomes from their AI observability investments. You serve as both a technical expert and trusted advisor, bridging the gap between complex ML/LLM systems and real-world business value. By guiding customers through onboarding, building seamless integrations, and championing their needs across the organization, you help them operationalize trustworthy AI at scale while fueling Fiddler’s growth through successful adoption, renewals, and expansion. You’ll join a tight-knit, highly collaborative Customer Success Engineering team that partners closely with some of the world’s leading enterprise AI organizations. We operate remotely but stay deeply connected through constant communication, collaboration, and shared purpose. Our team thrives on knowledge sharing, peer learning, and collective problem solving; no one works in a silo. We celebrate each other’s successes, support one another through complex challenges, and take pride in helping our customers achieve real-world impact with Fiddler’s AI Observability platform. Every project is a team effort, and every win is shared. If you love working alongside smart, driven peers who genuinely care about both customer success and each other’s growth, you’ll feel right at home here. Drive successful onboarding experiences. Partner closely with a Fiddler Delivery Manager to architect and implement onboarding solutions, aligning customer goals with Fiddler’s capabilities, and ensuring deployments are delivered on time, with precision, and with clear success criteria met. Be the trusted technical partner our customers rely on. You’ll build strong relationships with data science and ML engineering teams, guiding them through every stage of their AI observability journey and ensuring they realize measurable value from Fiddler. Champion the customer voice across Fiddler. Lead ongoing technical engagements, status syncs, roadmap discussions, QBRs, and escalation management; to ensure customer feedback influences our product roadmap and long-term strategy. Become a domain expert in AI Observability. Master Fiddler’s platform and help customers operationalize observability best practices improving model transparency, performance monitoring, and compliance across their ML lifecycle. Deliver seamless integrations and technical success. Write custom integration code that connects Fiddler to customer data ecosystems using tools like Snowflake, Airflow, MLflow, S3, Kafka, and more; ensuring robust, scalable, and secure pipelines. Accelerate platform adoption. Build and refine integration patterns between Fiddler and common data platforms, workflow tools, and ML infrastructures to reduce time-to-value for new customers. Uncover and drive expansion opportunities. Identify new ways Fiddler can provide impact; whether through advanced observability use cases, expanded integrations, or deeper model governance, helping drive renewals and growth. Bachelor’s degree in Computer Science (AI/ML focus), Statistics, Mathematics, or related field with 5-7+ years of professional experience. 2+ years of hands-on experience deploying, monitoring, or maintaining ML models in production environments. Excellent communication, presentation, and storytelling abilities; able to distill complex technical concepts into clear, actionable insights for both technical and executive audiences. Strong organizational and project management skills, with the ability to balance multiple customer engagements and priorities. Demonstrated collaboration across cross-functional teams—Product, Engineering, and Delivery—to drive customer outcomes. A customer-first mindset with empathy, curiosity, and a deep sense of ownership for delivering value. Passion for continuous learning and a desire to inspire customers and peers through thought leadership and technical credibility. Understanding of data science concepts, model interpretability, and explainability techniques used in modern ML systems. Working knowledge of data and workflow tools such as Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLflow, Luigi, Kubeflow, or Argo. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency with Kubernetes and cloud platforms (AWS, Azure, GCP). Familiarity with the ML/DS lifecycle, including feature generation, model training, deployment, monitoring, and evaluation (batch and real-time scoring via REST APIs). Understanding of emerging AI technologies—Generative AI, Large Language Models (LLMs), RAG architectures, and agent-based systems. For candidates in the San Francisco Bay Area, this role is a hybrid position requiring working from our Palo Alto office 3 days a week. US locations $160,000-$200,000 + equity San Francisco, New York City & Seattle $190,000-$230,000 + equity Competitive pay + equity Unlimited PTO Premium health, dental & vision (100% premium coverage for employees) 401(k) plan Monthly fitness reimbursement Paid parental leave Palo Alto HQ Vibes Annual Caltrain pass Monthly in-office massages Fastrak reimbursement Lunch provided Mon–Thurs The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors. Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process. Beware of job scam fraud. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or ask for sensitive personal information such as bank account or social security numbers.

Our Vision: Prefect will define automation for the context era. Our Mission: Curate an intelligent context layer that delivers the right information at the right time. Our remote first company is singularly focused on this vision and mission, and every team member directly contributes to their advancement. We've carefully created a supportive, high-performance culture - the operating system of our company - that empowers our team to do the best work of their careers and achieve their personal and professional aspirations. Our company operates both open-source and commercial offerings, partnering with Fortune 500 companies, data innovators, and fast-growing digitally native startups. We are looking for folks who want to join a remote-first team #LI-Remote to continue building an equally amazing company, product, and developer community. As a Senior Sales Engineer on the Go-to-Market team at Prefect, you will own the technical relationship with our most strategic customers and prospects. You will lead complex evaluations end-to-end — from discovery through architecture review, POC, and production deployment — partnering directly with platform engineering, data, and ML teams at enterprise organizations. Our customers increasingly span both traditional data engineering and AI-native use cases — deploying agents, integrating MCP servers, and building durable autonomous workflows. You'll help them architect solutions across the full surface of Prefect's platform. We expect our Senior Sales Engineer to operate with autonomy and ownership — shaping the SE playbook as much as running it. You will develop repeatable methodologies, contribute to product direction through customer signal, and help scale the GTM function beyond yourself. You will report to George Coyne, Director of Engineering, GTM. Develop a clear, technical understanding of Prefect's platform — including durable execution, AI agent orchestration, MCP, and the broader ecosystem of competing solutions Lead complex, multi-stakeholder technical evaluations with senior engineering stakeholders across extended enterprise sales cycles Build and support long-lasting, mutually beneficial relationships with enterprise clients Present and demonstrate the value of Prefect from a technical perspective to prospective clients Help bring in new business to Prefect, achieving monthly revenue goals Shape product roadmap by synthesizing patterns across customer engagements into clear, actionable feedback for product and engineering Mentor and elevate other members of the GTM team through deal collaboration, technical coaching, and knowledge sharing Champion our culture and foster a collaborative work environment Embody ownership: contribute and advocate for your ideas, while also preventing projects from failing Engage directly with customers to design, develop, and deploy solutions using Prefect Cloud Build production-grade demos, reference architectures, and proof-of-concept deployments that demonstrate Prefect's value in a prospect's actual environment Drive competitive displacement from legacy orchestration tools (Airflow, Dagster, Step Functions, Luigi) by articulating Prefect's technical differentiation Develop and deliver technical content — blog posts, webinars, tutorials, and conference talks — that builds Prefect's credibility in the data and AI engineering community Help customers design and deploy AI-native workflows — including agent orchestration, MCP tool use, and durable execution patterns for autonomous systems Develop repeatable technical sales methodologies — playbooks, competitive battlecards, demo environments — that scale the SE function beyond yourself 5+ years of experience as a solutions/sales engineer, with at least 3 years supporting enterprise sales cycles Strong Python skills and hands-on experience building and deploying data pipelines, ETL/ELT workflows, or ML infrastructure Deep familiarity with at least one major cloud platform (AWS, Azure, or GCP) including compute, storage, networking, and IAM Experience with workflow orchestration, job scheduling, or pipeline management tools — whether as a user, builder, or seller Working knowledge of containers (Docker, Kubernetes), infrastructure-as-code (Terraform, Pulumi), and CI/CD systems Demonstrated ability to lead complex, multi-month technical evaluations with senior engineering stakeholders Comfort operating autonomously in a fast-moving, small-team environment where you'll shape the playbook as much as run it Genuine curiosity about how customers work and a drive to understand their problems before pitching solutions Experience migrating organizations off Airflow, Dagster, Step Functions, or similar orchestration tools Familiarity with MCP, LLM application frameworks, agent architectures, or durable execution patterns for AI workflows Background in data engineering, platform engineering, or DevOps before moving into sales engineering Track record of producing technical content (blogs, talks, open-source contributions) that built pipeline or community Experience with data warehouses, object storage, and observability tooling (e.g., Snowflake, BigQuery, Databricks, Datadog) Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community. Belongingness is also our commitment to bridge with individuals or groups not yet established in our community, acknowledge differences in a way that affirms distinct identities, and allows for a new, more expansive group identity to form. Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws. Brad is a real live person (👋🏻) and is looking forward to learning more about you through your application.

At Attentive, we're revolutionizing the way businesses connect with their customers. Our AI-driven marketing platform infuses intelligence into every stage of the consumer journey, helping brands deliver hyper-personalized messages at scale. With a mobile-first approach, engaging two-way conversations, and enterprise-grade technology, we're driving billions in online revenue for leading brands worldwide, including CB2, Urban Outfitters, GUESS, Long John Silver’s, and Wyndham Resort. But we're not just about SMS and email—by expanding our AI capabilities to enhance multiple products and channels, our goal is to help make every interaction more meaningful. As a member of our team, you'll be at the forefront of this innovation, helping to shape the future of customer communication. Attentive’s growth has been recognized by , and _ all thanks to the hard work from our global employees! Who we are Our engineering department consists of 200+ people across multiple teams, such as application development, infrastructure, data platform, machine learning, and security. We believe our company will win in the long run through product innovation. To get there, we obsess over iteratively delivering customer value through rapid prototyping and data-driven decision-making. We’re looking for a self-motivated, highly driven Staff Software Engineer to bolster our Journeys Engineering team. Our team is focused on building a platform that drives valuable conversations with our users based on billions of incoming events per day. \n Why Attentive needs you • You understand how to negotiate with Product Management to meet the user’s needs without sacrificing quality or accruing tech debt. You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques, • You are constantly improving the quality of the project you are working on, both via code contributions as well as long-term advocacy for larger-scale changes, • Build amazing consumer experiences, taking responsibility for code quality, scalability, reliability and performance, • Collaborate with subject matter experts, fellow developers, and internal stakeholders to turn business goals into achievable technical roadmaps About you • You have worked professionally with web technologies for 8+ years, • You have development experience with either Java, Python or Go, • You have development experience with relational and non-relational databases, • You have development experience with streaming technologies, • You have experience architecting applications for high scale, • You have a proven track record of building applications that maintain a high bar of quality, • You are an empathetic communicator who can work seamlessly with technical and non-technical stakeholders, • You are comfortable with ambiguity and are adept at using business goals to turn that ambiguity into clear deliverables, • You are excited by new technologies but are conscious of choosing them for the right reasons Our scale • 8,000 brands powered by Attentive sent over 2.2 billion text messages over Cyber Week 2023 (Black Friday/Cyber Monday) representing a growth of 31% from 2022, • We sent 32 billion SMS messages in 2023, up 32% YoY. That’s an average of 87 million per day, • Our production cluster contains over 18,000 containers which serve 200+ services, • Our streaming services process over 80 billion events per month What we use • We use a wide variety of technology and we’re always looking for the best solutions to solve hard problems., • Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Pulsar, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS., • Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright \n You'll get competitive _, from health & wellness to equity, to help you bring your best self to work. For US based applicants: • The US base salary range for this full-time position is $184,000 - $270,000 annually + equity + benefits, • Our salary ranges are determined by role, level and location #LI-SK1 Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about _, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.

About Atria Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care in New York, South Florida, Los Angeles (2026), and through 24/7 telemedicine globally. Our multi-specialty team of 60+ top in-house physicians provides proactive, preventive, and precision-based care for Atria members and their families. We aim to optimize lifespan and healthspan through meticulous screening, leading-edge therapeutics, and tailored interventions designed to prevent disease and detect it at the earliest possible stages. Each member's care is led by a dedicated Chief Medical Officer who collaborates with specialists in cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more. Through our nonprofit Atria Research Institute and Public Health Institute, we also work to accelerate the translation of medical breakthroughs and expand access to preventive care for as many people as possible. Atria Health is seeking a Senior Software Engineer for our Data Engineering team to support engineering efforts across our data infrastructure, pipelines, and analytics platforms. This senior individual contributor role is responsible for designing and building scalable data systems, mentoring engineers, and partnering with domain product teams (Clinical Experience, Member Experience, and Care Delivery) to deliver reliable, high-quality data that powers insights and decision-making. Your work will directly enable Atria’s long term research ambitions and enable our physicians to derive novel clinical insights. You'll own complex data initiatives from design through implementation while establishing best practices that elevate the entire engineering organization. • Languages: Python, SQL, • Data Processing: Dagster, dbt, • Infrastructure: Google Cloud Platform, Terraform, Kubernetes, Docker, • Data Storage: Snowflake, PostgreSQL, MySQL, • Streaming: Pub/Sub, Kafka, • CI/CD: GitHub Actions, • Monitoring & Observability: Datadog, Grafana, OpenTelemetry, • Design, build, and maintain scalable data pipelines and ETL/ELT workflows, • Help to own and improve our data warehouse architecture in Snowflake, • Implement data modeling best practices to support analytics and reporting needs, • Drive data quality initiatives, including validation, testing, and monitoring frameworks, • Partner with product engineering teams to design data contracts and integrate data capture into applications, • Work closely with Analytics and Business Intelligence teams to understand reporting needs and deliver reliable data products, • Collaborate with Security and Compliance to implement data governance and privacy best practices, • Partner with Product and Engineering leadership on data strategy and technical roadmaps, • Collaborate with Clinicians and Clinical Researchers to ensure they have the data available to deliver on their projects and support patient care, • Work with our Analysts to decrease latency, improve testability and integrate with de-identification providers to meet our goals and regulatory needs, • Mentor and coach more junior data engineers, fostering growth and technical development, • Establish and document data engineering standards, patterns, and best practices, • Champion a culture of data quality, automation, and continuous improvement This role reports to the Senior Director of Engineering. This is a hybrid role based in New York City, with 3 days/week in the office (Tuesday–Thursday). Travel to other Atria locations as needed. Compensation: $190,000-$250,000 • 7+ years of software engineering experience, with 3+ years focused on data engineering, • Deep experience with cloud data platforms, such as Snowflake and BigQuery, • Proficiency with data pipeline orchestration tools (Airflow, Dagster, or similar), • Strong SQL skills and experience with data modeling and warehouse design, • Experience with data transformation tools such as dbt or Spark, • Demonstrated ability to lead technical initiatives and influence without direct authority, • Excellent communication skills and ability to translate complex technical concepts for varied audiences, • Experience in healthcare technology or other regulated industries, • Familiarity with streaming data architectures and real-time processing, • Experience building and scaling data quality and observability platforms, • Track record of improving data accessibility and self-service analytics capabilities, • Experience with Python for data processing and automation At Atria, we are proud to offer every member of the Atria team: • Excellent health and wellness benefits, 100% paid by Atria effective date of hire, • OneMedical membership for employees & dependents giving access to 24/7 virtual care, • Fertility & family planning, • Company-covered preventive health screenings through partner hospitals (Calcium score), • Fitness Perks including Wellhub +, • 401k contributions and 4% match starting after 6 months, • Flexible Time Off, • Continuing medical education (CME) and CEU support for professional licensure, • Time to give back and make an impact in underserved communities

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role At Hinge, the recommendation engine is a central part of our product. Every interaction users have with each other on our app begins with the systems your team builds and owns. As the engineering manager of this team, you will help drive the strategy and execution behind the infrastructure and features that power our recommendations. You’ll work closely with machine learning engineers, product managers, data scientists, and data engineers to build systems that balance personalization, fairness, and user experience at scale, from low-latency match-serving pipelines to the candidate retrieval and ranking systems that determine who users see and when. Our ability to provide good recommendations is central to achieving trust, engagement, and, most importantly, whether people can find who they’re looking for on Hinge. Responsibilities Lead, mentor, and grow a team of 6-8 engineers building recommendation services Partner with ML to productionize recommendation models and ensure low-latency, high-availability serving infrastructure Own the technical roadmap for the recommender platform, balancing new capabilities with reliability and performance improvements Drive architecture decisions for recommendation and search infrastructure Establish and maintain engineering standards for code quality, testing, observability, and incident response Collaborate with Product, Design, and cross-functional engineering teams to define and deliver product-facing recommendation features Manage hiring, performance reviews, career development, and team culture What We're Looking For 8+ years of software engineering experience, with 4+ years in an engineering management role Strong backend systems expertise – you've built or operated large-scale distributed systems in production Experience with recommendation systems, search ranking, personalization, or adjacent ML-serving infrastructure Proficiency in one or more backend languages (ideally Go) Familiarity with data processing architectures, feature stores, and model-serving technologies (e.g., Kafka, Spark, ElasticSearch, etc) Track record of hiring, developing, and retaining high-performing engineering teams Ability to communicate technical trade-offs clearly to both engineers and non-technical stakeholders Nice to Have Experience with ML frameworks (TensorFlow, PyTorch) or MLOps tooling (MLflow, Kubeflow, Airflow) Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes) Background in A/B testing and experimentation platforms Prior work at scale (millions of daily active users or equivalent throughput) Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .

Job Description VP Data Science As the VP of Data Science, you’ll play a critical role in building a data-driven culture and driving strategic initiatives. You’ll leverage a rich data-set built on a mature data pipeline that has captured millions of events a day over millions of users. You'll lead a nimble team that uses machine learning, predictive analytics, and engineering to partner with the product, marketing, operations & analytics to drive growth and further efficiencies. You'll be expected to creatively spearhead projects, possess the communication skills to collaborate with other teams, as well as the technical skills to deliver sophisticated projects from concept to production. What you'll do: · Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization · Be a technical leader and mentor for the data science team, helping institute best engineering practices (coding standards, automated testing, CI/CD, scalability) · Work with the leadership team in establishing a long-term vision for the company while building out a roadmap of data science development and applications · Conceive, develop, implement, and continually improve machine learning projects · Use your creativity and intuition to help find and solve the fun, challenging problems we work on every day · Influence the development of additional capabilities to deliver business outcomes through the use of automated algorithms on the platform · Work with stakeholders including the Executive, Product, Data and DevOps teams to assist with data-related technical issues and support their data infrastructure needs. · Manage and oversee an optimal data pipeline architecture · Manage and oversee the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. · Keep our data separated and secure · Work with data and analytics experts to strive for greater functionality in our data systems · Work in a stack built primarily around Python, Airflow and AWS What we're looking for: · 10+ years in data science/machine learning experience · 5+ years of managing a team of data scientists and/or data engineers · Ability to combine traditional techniques and cutting-edge research to build innovative data-driven products · Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases · Experience in model deployment and scaling as well as deep learning networks · Experience building and optimizing ‘big data’ data pipelines, architectures and data sets · Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement · Strong analytic skills related to working with unstructured datasets · Build processes supporting data transformation, data structures, metadata, dependency and workload management · A successful history of manipulating, processing and extracting value from large disconnected datasets · Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores · Strong project management and organizational skills · Experience supporting and working with cross-functional teams in a dynamic environment · Experience with big data tools: Hadoop, Spark, Kafka, etc. · MS in Computer Science, Statistics, Engineering, or a related quantitative field

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS., • We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away. If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Director, Data & Analytics Engineering, you will lead a team of Data and Analytics Engineers building the data foundation of the Charlie Health Operating Model, an AI-first model where the warehouse is no longer a passive reporting layer, but the substrate of our World Model: a continuously updated, causal representation of every patient, provider, payor, and operational signal in our ecosystem. You will own the pipelines, schemas, and storage systems that fuel both human and machine consumers, powering our 1,600+ dbt models, our real-time Intelligence Layer, and the agentic systems composing interventions on top of it. You will push us beyond Snowflake batch cycles into event-driven signal graphs that detect drift the moment a cohort's trajectory diverges from baseline, and you will architect the semantic retrieval surfaces that make our long-form clinical and operational artifacts AI-ready. This is a hands-on, Player-Coach leadership role. You will set the technical vision, run sprint ceremonies and roadmap planning, mentor ICs and a Data Engineering Manager, support DRIs running cross-cutting 90-day missions, and stay close enough to the code to make sharp architectural calls and unblock the team. You will partner with leaders across ML, Data Science, BizOps, Product, and Engineering and own the shape of the data model architecture that the next decade of Charlie Health is built on. We're a team of passionate, forward-thinking professionals eager to take on the behavioral health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the idea that the distance between identifying an operational friction and shipping a clinical intervention should be measured in days rather than months, apply today. Responsibilities • Own the warehouse and pipeline architecture that powers the Charlie Health World Model, the causal, continuously updated representation of our ecosystem that fuels reporting, product analytics, and the agentic Intelligence Layer, • Drive the long-term roadmap for AI-ready data: real-time signal graphs beyond batch cycles, schema-validated event flows, and semantic retrieval surfaces for transcripts, notes, and other long-form artifacts, • Define and execute a vision for scalable data model architecture in Snowflake, evolving 1,600+ existing dbt models toward extensible, well-governed, agent-consumable patterns, • Partner with Machine Learning, Data Science, Engineering, Product, and BizOps to align data initiatives with company priorities and unlock new opportunities, particularly the agentic capabilities riding on top of the World Model, • Lead execution end-to-end: sprint ceremonies, roadmap planning, and prioritization, with the discipline to keep a growing team shipping high-quality, reliable solutions on schedule, • Oversee data integrity, documentation, testing, monitoring, and provenance across systems so that stakeholders, human and agent, can trust and self-serve on our data, • Guide and contribute to architecture and design decisions across our stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau), and resolve critical technical issues as a hands-on technical leader, • Own the data infrastructure that powers company-wide KPI reporting, ad hoc analysis, product analytics, and dashboard development, ensuring the underlying models, pipelines, and semantic layer enable downstream teams to deliver clear, accurate insights as business questions evolve, • Drive reliability, scalability, observability, security, and cost-efficiency improvements across the data stack, including the PHI gatekeeping and HITRUST-aligned patterns that govern signal ingestion, • Identify bottlenecks and implement improvements to team workflows, tools, and development practices, • Manage and mentor a growing team of Data and Analytics Engineers and one Data Engineering Manager. Operate as a Player-Coach: focus on craft, mentorship, high-leverage code review, and supporting DRIs running 90-day cross-cutting missions, • Establish metrics that track progress, communicate priorities, and demonstrate business impact, • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data useRequirements, • 10+ years of data or analytics engineering experience, with 4+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization across multiple workstreams, • Hands-on background building and maintaining ELT pipelines using SQL, dbt, and OLAP databases like Snowflake, • Proficiency in Python (preferred) or another language strong enough to guide and review technical work, • Experience with workflow orchestration tools like Dagster, Airflow, or Prefect, • Skilled at building scalable reporting solutions in Tableau or Hex and enabling self-serve analytics across the organization, • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns, • Track record of improving team processes, optimizing workflows, and delivering measurable impact, • Effective cross-functional partner with Machine Learning, Data Science, Product and Engineering, aligning data work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • This role requires 4 days per week in our NYC office (Flatiron District) Nice to Haves • Familiarity with healthcare data standards (HIPAA, FHIR, HITRUST), • Experience with AWS cloud technologies, • Experience working in a startup environment, • Exposure to event-driven architectures (EventBridge, Kafka, CloudEvents) and JSON Schema registries, • Familiarity with vector stores (Pgvector, Pinecone) and patterns for semantic retrieval over operational data, • Experience supporting ML or agentic AI workloads as a data consumer — designing schemas, features, or context surfaces that downstream models and agents rely on, • Awareness of LLMOps tooling and what it takes to keep AI systems observable and PHI-safeBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $250,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description MetTel is a global communications solutions provider with the most complete suite of fully managed services that focus on secure connectivity, and network and mobility services. We simplify communications and networking for business and government agencies. Our customers include many of the Fortune 500, and Gartner recognizes us as an industry leader. We have the broadest portfolio of technology and integrated partnerships, as well as our private network, which we use to create tailored solutions design, deployment, and ongoing management, driving cost savings, efficiency, innovation, and the ability to focus on core objectives. We believe that each team member is a key to the success and sustainability of the group. In order to achieve this, we offer an environment where all professionals can grow and develop their skills and competencies, collaborate with diverse professionals, share knowledge and enjoy a rewarding career. We are seeking a highly motivated and experienced Senior Software Engineer to join our Bruin Software Engineering Team in NYC! The Senior Software Engineer will lead a major platform modernization — migrating a complex legacy enterprise web applications to a modern, maintainable code stack. You will work directly with Claude Code (Anthropic's AI-powered engineering tool) as a core part of your workflow, directing it to generate and validate code while applying your own judgment on architecture and quality. We work across the full stack — cloud infrastructure, APIs, databases, and frontend — and we move fast. We value engineers who take ownership, think deeply, and deliver. ROLE AND RESPONSIBILITIES: • Migration Leadership: Own the end-to-end rewrite of a production enterprise web application to a modern stack (NestJS, React/TypeScript, Temporal.io), executing module by module with backwards compatibility to the existing MSSQL database., • AI-Augmented Engineering: Use Claude Code as a primary tool — directing it to generate, refactor, and validate code while applying your judgment to review output and make architectural decisions., • Full-Stack Development: Build across backend (Javascript, Python, NestJS/Node.js), frontend (React + TypeScript), and data layers (TypeORM + Microsoft SQL Server)., • Workflow Engineering: Migrate legacy BPT-style process flows to Temporal.io, including long-running processes, human task queues, timers, and conditional logic., • API & Integration: Design and maintain RESTful APIs with OpenAPI/Swagger documentation. Manage clean contracts between new and legacy modules during transition., • Cloud & DevOps: Deploy and manage solutions on AWS, Azure, or GCP. Implement and maintain CI/CD pipelines, IaC, and containerised deployments (Docker, Kubernetes)., • Code Quality: Establish engineering standards for the new codebase, conduct code reviews, and write well-tested, maintainable code., • Mentorship: Guide junior engineers and model effective, responsible use of AI-assisted development tooling. DESIRED QUALIFICATIONS: • Must be a strong engineer with the fundamentals and judgment to work effectively alongside AI tooling., • 5+ years of professional software engineering with a track record of delivering production systems., • Strong TypeScript/JavaScript and Node.js experience; NestJS or similar backend framework., • Solid React experience building complex, data-driven web applications., • Relational database experience and proficiency with ORM frameworks; MSSQL a strong plus., • Cloud platform experience (AWS, Azure, or GCP) and hands-on DevOps — CI/CD, containerisation (Docker, Kubernetes)., • Comfort reading and reasoning about systems you didn't build — legacy codebase analysis is central to this role., • Openness to AI-assisted development tools (Claude Code, Copilot, Cursor, or similar) as a core part of your engineering workflow., • Strong communication skills; able to articulate technical decisions to both engineering and non-technical stakeholders. NICE TO HAVE: • C# or other strongly-typed backend language experience., • Data pipeline experience (Apache Airflow, Apache Flink, Kafka, or similar)., • Workflow/orchestration engine experience (Temporal.io, Conductor, or similar)., • Figma familiarity — able to work directly from design files without handoff friction., • Experience migrating from a low-code or legacy enterprise platform., • Certifications in AWS, Azure, GCP, or Kubernetes. *The salary range reflected is a good faith estimate of base pay for the primary location of the position. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay for this position ranges from $150,000.00 to $180,000.00 annually. Pay varies by work location and may also depend on job -related knowledge, skills, experience and abilities of the successful candidate. Your recruiter can share more about the specific salary range for the job location during the hiring process. Keywords: #NYC, NYC, #NewYorkCity, New York City, NewYorkCity, Senior Software Engineer, #SeniorSoftwareEngineer, #Manhatten, #ClaudeCode, Claude Code, ClaudeCode, #FullStack, Full Stack, #React, React, #Node.js, Node.js, #Typescript, Typescript, Microsoft SQL Server, #MicrosoftSQLServer, #Telecom, Telecom, #Troubleshoot, #Design, #Engineering, #Javascript MetTel is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. To learn more about our company visit us at www.mettel.net

Job Description Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. We are seeking a Senior Manager to lead our Clinical Data Platform organization, responsible for building and operating the systems that power our Clinical Data Repository (CDR), Patient Data Layer (PDL), and broader clinical data initiatives. This is a technical leadership role for a hands-on, deeply experienced engineering leader who can operate across software engineering, data/ML engineering, and cloud infrastructure. You will define and drive the architecture, execution strategy, and operational excellence of a multi-tenant, multi-cloud clinical data platform that processes and serves highly sensitive healthcare data at scale. You will lead a team of high-performing engineers and technical leads, bringing clarity to ambiguity, rigor to execution, and discipline to prioritization. Success in this role requires the ability to balance long-term platform vision with near-term delivery, while maintaining high standards for reliability, security, and scalability in a regulated environment. What You Will Do: Technical Strategy & Architecture • Own the technical vision and roadmap for the Clinical Data Platform. Drive architecture for multi-tenant, multi-cloud data platforms, ensuring strong isolation, scalability, and compliance, • Make high-stakes architectural decisions across data processing, storage, serving, and interoperability layers, • Ensure platform capabilities support analytics, product features, and AI/ML use cases, • Establish durable patterns for data lifecycle management (ingestion, validation, transformation, enrichment, serving)Execution & Delivery, • Lead execution of complex, cross-functional initiatives with clear prioritization and measurable outcomes, • Translate business and product needs into well-defined engineering plans and deliverables, • Drive ruthless prioritization, focusing the team on highest-impact work while managing tradeoffs across speed, quality, and cost, • Ensure high standards for operability, reliability, and performance in production systems, • Oversee delivery across batch and real-time data systemsEngineering Leadership, • Build, lead, and scale a high-performing team of engineers and technical leads, • Set a high bar for technical design, code quality, and system reliability, • Mentor and develop engineers, creating strong technical ownership and accountability, • Foster a culture of ownership, urgency, and continuous improvement, • Partner closely with Product, Data Science, Platform, and Infrastructure teamsPlatform & Infrastructure Excellence, • Drive best practices across cloud engineering (AWS preferred), infrastructure-as-code, and environment management, • Ensure tight integration with platform capabilities including CI/CD, observability, security, and cost management, • Partner with ML Platform and Data teams to enable robust ML data pipelines and feature systems, • Ensure systems meet security, compliance, and auditability requirements in a healthcare environmentCross-Functional Influence, • Act as the technical authority for clinical data systems across the organization, • Collaborate with stakeholders across Product, Ops, and external partners, • Influence company-wide decisions on data architecture, interoperability, and platform strategy, • Drive alignment across teams in a multi-cloud, multi-platform ecosystemTechnical Experience: Strong candidates will bring experience across cloud engineering, platform infrastructure, and modern data systems, including: • Cloud Engineering (AWS preferred): Experience with core services across compute (EC2, EKS/ECS, Lambda), storage (S3), data systems (RDS, DynamoDB, Redshift), networking (VPC design, private connectivity), and security (IAM, KMS). Familiarity with multi-account and multi-region architectures and multi-cloud patterns, • Infrastructure & Reliability: Infrastructure-as-code (Terraform or equivalent), CI/CD integration, observability (metrics, logs, tracing), and building resilient, cost-efficient production systems, • Data & Distributed Systems: Distributed processing (Spark or similar), data platforms (Databricks, Snowflake), orchestration (Airflow), streaming (Kafka), and modern lakehouse architectures (Delta, Iceberg), • Data Modeling & Lifecycle: Strong understanding of ingestion, transformation (dbt or similar), validation, and serving patterns for analytical and operational use cases What You Bring: • 10–15+ years of experience building and operating large-scale data or distributed systems, • 5+ years of engineering leadership experience, including managing senior engineers and tech leads, • Proven track record of delivering complex, high-impact platform initiatives, • Strong technical depth across:, • Software engineering (system design, distributed systems), • Data engineering (large-scale processing, modeling, pipelines), • Cloud infrastructure (AWS preferred; multi-cloud experience a plus), • Experience designing and operating multi-tenant, highly regulated data platforms, • Demonstrated ability to drive clarity in ambiguous environments and lead from problem definition to execution, • Strong track record of prioritization and execution discipline in fast-moving environments, • Ability to balance hands-on technical involvement with organizational leadership What Helps You Stand Out: • Experience in healthcare or other regulated industries, • Familiarity with clinical data standards (FHIR, HL7, EHR integrations), • Experience building or operating clinical data repositories (CDR) or longitudinal patient data systems, • Experience leading large-scale platform transformations or migrations, • Exposure to multi-cloud architectures and cross-platform data integration, • Experience building platforms that support AI/ML use cases, including:, • Feature engineering pipelines, • Training and inference data flows, • Feedback loops and iterative data workflows, • Familiarity with AI-assisted development tools and modern engineering practices, • Ability to evolve platform capabilities to support next-generation data and AI applications We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$200,000—$250,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are seeking a Senior Data Platform Engineer to design and develop the data management layer for our platform to ensure its scalability as we expand to larger customers and new jurisdictions. At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision-making for both internal and external users. We process hundreds of millions of events daily, with this number growing as we onboard new customers. We prioritize open-source solutions in our data management approach, leveraging a Google Cloud Platform (GCP) foundation for our data infrastructure. This includes batch/stream ingestion, transformation, and consumption layers for BI, internal use, and external third-party sinks. Additionally, we oversee data experimentation, cataloging, and monitoring and alerting systems. Our team is 100% distributed and remote. Responsibilities: • Design and oversee key forward- and reverse-ETL patterns to deliver data to relevant stakeholders., • Develop scalable patterns in the transformation layer to ensure repeatable integrations with BI tools across various business verticals., • Expand and maintain the Alpaca Data Lakehouse architecture's constantly evolving elements., • Collaborate closely with sales, marketing, product, and operations teams to address key data flow needs., • Operate the system and manage production issues in a timely manner. Must-Haves: • 7+ years of experience in data engineering, including 2+ years of building scalable, low-latency data platforms capable of handling >100M events/day., • Proficiency in at least one programming language, with strong working knowledge of Python and SQL., • Experience with cloud-native technologies like Docker, Kubernetes, and Helm., • Strong hands-on experience with relational database systems and object storage implementations like Apache Iceberg., • Strong hands-on experience with Google Cloud Platform and its various data-related services (Composer, Dataproc, Datastream, etc.), • Experience in building scalable transformation layers, preferably through formalized SQL models (e.g., dbt)., • Ability to work in a fast-paced environment and adapt solutions to changing business needs., • Experience with ETL orchestrators / frameworks like Apache Airflow and Airbyte., • Production experience with streaming systems like Kafka., • Exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC), like Terraform., • Deep knowledge of distributed systems, storage, transactions, and query processing utilizing open-source distributed query engines like Trino (formerly PrestoSQL)., • If you're passionate about data engineering and thrive in a dynamic startup environment, we'd love to hear from you! How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500, • Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy