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Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Our Client which is a large Payroll Firm is urgently looking for Sr. Full Stack Python Developer Sr. Full Stack Python Developer Location: Roseland, NJ Long Term Contract. Hybrid - 3 days at office Sr. FS Python – Python, Fast API, React, Django, Flask, Java Script, AWS. AI-ML Face to Face Interview is required. We are seeking an experienced Senior/Lead Software Developer to join our team and drive technical excellence across our full stack applications. This role requires a versatile engineer with minimum 5 to 6 years of experience who can architect solutions, mentor team members, and deliver high quality software across multiple technology stacks. About the Role This position offers the opportunity to work on challenging problems at the intersection of traditional software engineering and modern AI capabilities. You'll be instrumental in shaping our technical direction while building products that leverage the latest cloud and AI technologies. Required Technical Skills Backend Development Python: Advanced proficiency in Python development, including frameworks like Flask/FastAPI/Django Apache Airflow: Experience building and managing data pipelines and workflow orchestration API Design: RESTful APIs, GraphQL, microservices architecture Database: SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis) Frontend Development React: Advanced React.js development with modern hooks, state management (Redux/Context API) JavaScript/TypeScript: Strong ES6+ and TypeScript skills UI/UX: Responsive design, component libraries, modern CSS frameworks Cloud & AI AWS: Hands on experience with core AWS services: Compute: EC2, Lambda, ECS/EKS Storage: S3, RDS, DynamoDB Integration: API Gateway, EventBridge, SQS/SNS AI/ML Integration: Experience integrating AI models, LLMs, or ML services into applications Infrastructure as Code: CloudFormation, Terraform, or CDK Development • Build robust backend services using Python., • Develop responsive, user-friendly frontend applications with React, • Implement and maintain data pipelines using Apache Airflow, • Integrate AI/ML capabilities into applications - Nice to Have, • Deploy and manage applications on AWS infrastructure, • Write comprehensive unit, integration, and end-to-end tests Mentorship & Collaboration • Mentor junior and mid-level developers, • Collaborate with product managers, designers, and stakeholders, • Participate in agile ceremonies and sprint planning, • Document technical designs and system architecture, • Share knowledge through tech talks and documentation Qualifications Required • Lead professional software development experience, • Strong proficiency in Python and at least one other backend language (Java/.NET), • Proven experience with React and modern frontend development, • Hands on AWS cloud experience, • Experience with Airflow or similar workflow orchestration tools, • Understanding of AI/ML concepts and integration patterns, • Strong problem-solving and debugging skills, • Excellent communication and collaboration abilities, • Bachelor's degree in computer science or equivalent experience Preferred • Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), • Knowledge of containerization (Docker, Kubernetes), • Experience with monitoring and observability tools (CloudWatch, Datadog, New Relic), • Familiarity with LLM integration (OpenAI, Anthropic Claude, AWS Bedrock), • Agile/Scrum experience

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: 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

Please send current resumes directly to Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ Location: Jersey City, NJ // Hybrid: 3 days a week Open to W2 and CTC contractors - MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience 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. Estimated Min Rate: $56.00 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 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 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:

Job DescriptionDescription: About our organization Our New Jersey 82,000 square foot facility includes the largest emergency contact center in the United States. Our Houston Texas facility includes a fully redundant emergency contact center supported by a diverse talent hub. These two critical infrastructure facilities are staffed and operated 24/7/365 and require best-in-class uptime. They include high-availability data centers that have the highest uptime expectations that exist. Our business operates 24/7/365, and that means our facilities teams must support an employee population that includes a significant number of hard-working contact center employees at our three call center locations across the United States. About the Role You are responsible for technical ownership of all building systems across two Class A office buildings and one fulfillment center. This is a senior level, hands-on role focused on proactive maintenance, advanced troubleshooting, system reliability, and Class A service standards. You will reduce vendor reliance through first level diagnostics and repair. You will lead preventive maintenance execution and provide technical guidance to the Facilities Technician. This role requires strong commercial HVAC, plumbing, and electrical troubleshooting experience.? Role and Responsibilities: • Oversee 17 rooftop HVAC units; diagnose airflow, condensate, control, and electrical faults; interpret schematics; track service history; assess repair vs. replacement; escalate major failures., • Troubleshoot electrical systems up to 277V; replace components (ballasts, drivers, switches, outlets); resolve recurring faults; maintain panel accuracy; follow LOTO protocols., • Diagnose and repair minor plumbing issues; identify developing wear., • Maintain dock levelers, overhead doors, and fulfillment equipment; monitor up time and repeat failures., • Support life safety compliance: conduct fire extinguisher inspections, inspect emergency systems, assist with sprinkler/fire panel checks, & maintain audit documentation., • Own preventive maintenance program and inspection cadence; conduct weekly building walks; mitigate risks pre-failure; reduce emergency work orders., • Manage work orders in Maintenance Care; prioritize same-day resolution; track labor/materials; maintain asset logs; perform root cause analysis; deliver monthly system condition reports., • 7+years commercial building maintenance experience., • Strong rooftop HVAC troubleshooting background., • Ability to read electrical, mechanical, & plumbing drawings., • Experience in high-end corporate office environment preferred., • Great pay and excellent comprehensive benefits package, • Chance to work with an experienced and talented leadership group, • Entrepreneurial work environment with the freedom to get things done, • Make a true impact on our company with high visibility, • Excellent Comprehensive Insurance Coverage, • 401(k) Retirement Savings, • Access to Corporate Discounts, • Commuter Benefits, • Company Paid Life Insurance Affiliated Monitoring is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.

Job DescriptionBenefits: • 401(k), • Paid time off, • Flexible schedule, • Flexible Scheduling, • Competitive Compensation 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.

Who we're looking for** - BS or MS in CS or related; 3+ years in data engineering or analytics engineering - Expertise in one or more of the following: dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), data qualit

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. Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ.

Job Description HVAC Technician – Job Description & Responsibilities We are seeking a reliable and skilled HVAC Technician to install, service, and maintain heating, ventilation, and air conditioning systems for residential and light commercial customers. The ideal candidate is mechanically inclined, customer-focused, and able to work independently as well as part of a team. Responsibilities • Install, troubleshoot, repair, and maintain HVAC systems including furnaces, hydronic boilers, air conditioners, heat pumps, and ductless mini-splits, • Perform preventative maintenance and system inspections, • Diagnose mechanical and electrical issues and recommend proper solutions, • Read and interpret wiring diagrams, blueprints, and technical manuals, • Test HVAC systems for proper operation, airflow, and efficiency, • Communicate clearly with customers regarding system issues, repairs, and maintenance options, • Maintain accurate service records and work orders, • Follow all safety procedures and local building codes, • Maintain tools, equipment, and company vehicle in good condition, • 5+ years HVAC experience preferred (or equivalent training/apprenticeship), • Valid driver’s license and clean driving record, • Strong electrical and mechanical troubleshooting skills, • Ability to lift up to 50 lbs and work in confined spaces, • Ductless/VRF experience, • Competitive pay based on experience, • Overtime opportunities, • Paid training and continuing education, • Company vehicle, tools, and uniforms, • Paid time off and holidays Company DescriptionWe are a growing Plumbing & HVAC company seeking skilled, dependable technicians to join our team. We offer competitive pay, steady work, and opportunities for advancement in a supportive work environment.We are a growing Plumbing & HVAC company seeking skilled, dependable technicians to join our team. We offer competitive pay, steady work, and opportunities for advancement in a supportive work environment.

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, • Physical ability to lift heavy equipment (up to 50-100 lbs), • Comfort working in confined spaces (attics, crawl spaces) and on roofs/ladders, • 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.

Job DescriptionJob Title: Sheet Metal Mechanic Job Description This role focuses on installing HVAC ductwork on commercial projects across the state. You will use your sheet metal expertise to install, assemble, and secure duct systems that meet project specifications, safety standards, and quality requirements. Responsibilities • Install HVAC ductwork for commercial projects according to blueprints, specifications, and job requirements., • Measure, cut, and assemble sheet metal components for duct systems using appropriate tools and equipment., • Fit, align, and secure ducts, fittings, and related components to ensure proper airflow and system performance., • Inspect completed duct installations to confirm quality, accuracy, and compliance with mechanical codes and standards., • Collaborate with other trades and team members on-site to coordinate installation activities and meet project deadlines., • Maintain a clean and organized work area and handle tools, materials, and equipment safely and responsibly., • Follow all safety procedures and site regulations while working on commercial job sites throughout the state.Essential Skills, • Proven experience installing HVAC ductwork on commercial projects., • Hands-on experience with duct installation, including layout, assembly, and fastening., • Strong sheet metal skills, including measuring, cutting, and forming components., • Ability to read and follow basic construction drawings or layout instructions., • Solid understanding of safe work practices on active construction sites., • Capability to work efficiently in a fast-paced, field-based environment.Additional Skills & Qualifications, • Previous experience working on multiple commercial job sites., • Familiarity with common hand and power tools used in sheet metal and duct installation., • Ability to work both independently and as part of an installation crew., • Strong attention to detail and commitment to quality workmanship., • Reliable transportation to travel to various job locations within the state.Why Work Here? You will join a team that values skilled craftsmanship, reliability, and pride in quality work on large-scale commercial projects. The role offers consistent, hands-on field experience with opportunities to expand your technical skills and grow within the trade. You will work in an environment that emphasizes safety, teamwork, and professional conduct on every job site. Work Environment This is a field-based role on commercial construction sites throughout the state. You will work primarily with HVAC duct systems and sheet metal materials, using standard hand and power tools for cutting, forming, and fastening. The work involves standing, bending, lifting, and working at heights or on ladders as required by the installation. Hours typically follow standard construction schedules and may vary by project and location. You will be expected to wear appropriate work attire and any required personal protective equipment in accordance with site safety rules. Job Type & Location This is a Contract to Hire position based out of Jersey City, NJ. Pay and Benefits The pay range for this position is $20.00 - $35.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program About Aerotek: We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meets their goals, skills and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role solving for companies’ construction, manufacturing and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are everything spirit to the test as your career continues to grow. Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. Company DescriptionWe know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.

Job Description HVAC Technician – Job Description & Responsibilities We are seeking a reliable and skilled HVAC Technician to install, service, and maintain heating, ventilation, and air conditioning systems for residential and light commercial customers. The ideal candidate is mechanically inclined, customer-focused, and able to work independently as well as part of a team. Responsibilities • Install, troubleshoot, repair, and maintain HVAC systems including furnaces, hydronic boilers, air conditioners, heat pumps, and ductless mini-splits, • Perform preventative maintenance and system inspections, • Diagnose mechanical and electrical issues and recommend proper solutions, • Read and interpret wiring diagrams, blueprints, and technical manuals, • Test HVAC systems for proper operation, airflow, and efficiency, • Communicate clearly with customers regarding system issues, repairs, and maintenance options, • Maintain accurate service records and work orders, • Follow all safety procedures and local building codes, • Maintain tools, equipment, and company vehicle in good condition, • 5+ years HVAC experience preferred (or equivalent training/apprenticeship), • Valid driver’s license and clean driving record, • Strong electrical and mechanical troubleshooting skills, • Ability to lift up to 50 lbs and work in confined spaces, • Ductless/VRF experience, • Competitive pay based on experience, • Overtime opportunities, • Paid training and continuing education, • Company vehicle, tools, and uniforms, • Paid time off and holidays Company DescriptionWe are a growing Plumbing & HVAC company seeking skilled, dependable technicians to join our team. We offer competitive pay, steady work, and opportunities for advancement in a supportive work environment.We are a growing Plumbing & HVAC company seeking skilled, dependable technicians to join our team. We offer competitive pay, steady work, and opportunities for advancement in a supportive work environment.

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. All qualified applicants will receive

Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps for CI/CD, Terraform for infrastructure as code, and Splunk for monitoring Continuously improve systems through performance enhancements and cost reductions in compute and storage Data Proce

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the Advanced Technology Group (ATG) and directly influences key business metrics, including revenue, utilization, and customer demand. In this role, you will design and implement models that predict demand, analyze price–demand relationships, and develop pricing strategies. This is a highly impactful role with significant ownership over data, modeling, and infrastructure systems. What you'll do • Design, develop, and productionize demand forecasting models optimized for different business goals (e.g., visits, revenue, availability), • Innovate and improve Machine Learning models for price elasticity, time series, and probabilistic models for revenue optimization, • Design and build end-to-end data pipelines to support large-scale production usage, • Identify data issues (e.g., bias, leakage, labeling inconsistencies) and drive solutions, • Design and analyze experiments (A/B, switchback, causal inference) to validate pricing strategies, • Deploy and monitor models in production, ensuring reliability, scalability, and data quality, • Collaborate with product, engineering, and business teams to translate requirements into scalable ML solutionsWhat we're looking for, • PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field, with at least 1+ years of relevant experience, or MS with equivalent publications, • Proficient programming skills in Python and SQL, • Foundational experience in machine learning modeling and statistics, such as time series forecasting, probabilistic models, and deep learning models, • Strong knowledge with forecasting, optimization, and decision-making algorithms, including revenue maximization, constrained optimization, and demand/price curve optimization, • Solid understanding of causal inference and experimentation, with experience evaluating both short-term and long-term effects (A/B testing, DiD, uplift modeling), • Hands-on experience with data pipeline development, including AWS data storage, data transformation, distributed processing (Spark), and workflow orchestration (Airflow), • Strong communication skills, both written and verbal, with the ability to operate effectively at team and deep technical levels When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionCompany Description Expert Institute is the #1 technology platform connecting litigation attorneys with expert witnesses. We operate in a multi-billion-dollar market with massive untapped potential (~2% market share today). With thousands of law firm clients nationwide and 1M+ experts on our platform, we're scaling quickly—and looking for elite engineering talent to help architect the next phase of growth. Job Description We're looking for a Staff Software Engineer to serve as a technical leader and architect for the products powering our two-sided marketplace. You'll set the technical direction for critical systems, drive architectural decisions that shape our platform for years to come, and mentor engineers across the organization. From designing AI-powered document processing pipelines to architecting the data infrastructure behind our case-matching intelligence, you'll operate at the intersection of deep technical craft and high-leverage business impact. This role is for a seasoned engineer who has already done the "senior engineer" job well and is ready to expand their scope—influencing systems, teams, and the technical strategy of the company. You'll partner directly with engineering leadership, Product, and Design to translate ambitious business goals into resilient, scalable technical realities. What You'll Do * Architect and lead the design of complex, distributed systems that power our marketplace at scale, including our AI/ML infrastructure, search and matching services, and data platform * Drive technical strategy across multiple teams and services—setting standards for reliability, performance, security, and developer experience * Own our AWS cloud infrastructure end-to-end: VPC design, compute (ECS/EKS/Lambda), data stores (RDS, DynamoDB, S3), networking, IAM, observability, and cost optimization * Design and evolve our data platform—including data modeling, ETL/ELT pipelines, warehousing (e.g., Redshift/Snowflake), streaming architectures, and the data foundations that power analytics and ML * Lead the technical design of AI-powered features, including LLM-backed document processing, embeddings/vector search for expert matching, RAG pipelines, and evaluation frameworks * Establish engineering excellence: define coding standards, CI/CD practices, testing strategies, incident response processes, and operational maturity across the org * Mentor engineers at all levels—through code review, design review, pairing, and career coaching—raising the bar for the entire team * Partner with leadership on technical roadmap, hiring, org design, and build-vs-buy decisions * Own critical production systems including on-call rotation leadership, SLO definition, and driving postmortems that translate incidents into lasting improvements * Identify and resolve systemic performance, scalability, and reliability bottlenecks before they become customer-facing problems Qualifications We're looking for candidates who are: * Seasoned technical leaders who thrive in ambiguity and can turn vague goals into concrete architectures * Deeply curious about AI/ML and actively shipping production systems using modern techniques (LLMs, embeddings, vector DBs, agentic workflows) * Strong generalists with depth in distributed systems, cloud infrastructure, and data engineering * Expert-level in Node.js, TypeScript, and PostgreSQL, with working fluency across additional languages and datastores * Force multipliers who make the engineers around them better Additional Information The right candidates have: * 8+ years of professional engineering experience, with at least 2+ years operating at a Staff or equivalent level of scope and influence * Deep AWS expertise—you've designed, built, and operated production workloads across compute, storage, networking, and managed services; you understand the trade-offs between ECS vs. EKS vs. Lambda, when to reach for Aurora vs. DynamoDB, and how to keep a cloud bill sane as you scale * Infrastructure-as-code fluency with Terraform, CDK, or Pulumi, and a strong grasp of CI/CD, containerization (Docker), and modern deployment practices * Data engineering chops: you've designed production data models, built reliable pipelines (Airflow, dbt, Kafka, or equivalent), and shipped warehouse-backed analytics or ML features * Architectural range: you can zoom from individual service design up to multi-system architecture, and you have strong opinions—loosely held—about microservices vs. monoliths, event-driven design, API design, and data consistency models * AI/ML production experience: you've shipped features backed by LLMs, embedding models, or traditional ML, and you understand the infrastructure, evaluation, and cost considerations that come with them * Outstanding communication skills—you can write a crisp RFC, run a productive design review, explain a complex system to a non-technical stakeholder, and give feedback that actually changes behavior * A track record of mentorship and elevating the engineers around you * Strong product intuition—you push back on bad specs, you understand why we're building what we're building, and you use that context to make better technical decisions * A bias to action balanced with the judgment to know when to slow down and design carefully * Deep interest in our product, our customers, and the legal industry's transformation through technology All your information will be kept confidential according to EEO guidelines.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Senior Software Engineer to join our Engineering team. Garner's Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Lead technical strategy and decision-making on assigned domains, • Use AI to build, optimize, and maintain software systems, • Mentor and uplevel early-career engineers, • Collaborate across disciplines to understand our domain and iterate on projects, • Protect our users' privacy and security through best practicesThe ideal candidate has:, • 4+ years of software engineering experience, • A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment, • Demonstrated ability to build complex systems using AI coding agents (we use Claude Code), • The ability to learn quickly and mentor others, • Familiarity with data security and HIPAA compliance, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:

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 230+ 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 looking for a Head of Data to lead Alpaca's ~15-person data department across Platform Engineering, Analytics Engineering, and Data Science. You will own the data strategy, the team's execution, and the department's roadmap. The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search). This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data's capabilities to the executive team. Things You Get To Do: • Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics. Manage leads, set priorities, and ensure delivery., • Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling., • Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches., • Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements., • Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL., • Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects., • Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development., • Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products., • Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows., • 8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs)., • Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage., • Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL., • Track record of building self-service analytics capabilities for non-technical stakeholders., • Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services., • Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions., • Experience managing distributed/remote teams across multiple time zones., • Strong stakeholder management: you can translate between executive priorities and engineering execution., • Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation)., • Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube)., • Background in compliance analytics (AML/Actimize, KYC, margin calls)., • Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description You will play a key role in shaping how data flows across Uncommon Schools, helping teams make better decisions that directly impact students and communities. As a Senior Data Engineer, you’ll design and build the systems that connect our applications and data warehouse, ensuring data is accurate, accessible, and reliable. You’ll partner closely with teams across Data, IT, and the organization to translate complex needs into scalable solutions. This is a highly collaborative role where your work will strengthen how we use data to drive outcomes and continuously improve how we operate. Responsibilities Data Integration & Architecture • Design end-to-end data pipelines and integrations aligned to organizational goals, • Build and maintain APIs to enable seamless data movement across systems, • Transform and connect data across applications and the data warehouse while maintaining data integrity, • Provide advanced support for data integrations and partner with IT and Product teams to resolve issues, • Guide implementation of new integrations and support systems post-deployment, • Select and implement tools that support integration and data infrastructure needs, • Partner with stakeholders to understand needs and translate them into technical solutions, • Communicate complex concepts clearly to support strong decision-making, • Mentor team members and support adoption of best practices and coding standards, • Monitor integrations to ensure accuracy, reliability, and security, • Maintain documentation and a centralized view of data integrations, • Support development of governance frameworks for data management, • Contribute to long-term enterprise architecture planning and technical directionQualifications Required • 5+ years of professional experience in data engineering, analytics engineering, or a closely related field, • Deep, hands-on experience with dbt (data build tool), including building, testing, and maintaining production-grade data models (resumes without dbt experience will not be considered), • Strong proficiency in SQL and at least one programming language (e.g., Python), • Experience designing, building, and maintaining end-to-end data pipelines, including orchestration (e.g., Apache Airflow or similar tools), • Demonstrated experience with data modeling, including the ability to translate business needs into scalable, well-structured data models, • Experience owning data systems or projects end-to-end (scoping, designing, building, and maintaining solutions), • Experience working across systems and building integrations between platforms, with the ability to identify and recommend improvements across data flows, • Experience contributing to team-based projects and collaborating with cross-functional stakeholders, • Demonstrated ability to mentor, coach, or support other engineers, whether formally or informally, • Experience with modern data orchestration tools, • Experience with AI-assisted or agentic coding workflows (e.g., leveraging LLMs or AI tools to accelerate development), • Experience designing or contributing to scalable data architectures across multiple systems, • Strong problem-solving skills with attention to detail, • Ability to manage multiple projects and prioritize effectively, • Clear communication skills across technical and non-technical stakeholders Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Compensation The full compensation range for this role is $120,700 to $142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Work Environment Manhattan-based role with in-office work three days per week. Benefit Highlights: • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts *A detailed list of all benefits is located HERE. At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon 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. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. About the role You’ll be the first Data Engineer at Tabs, building the core data infrastructure that powers our internal KPIs, customer insights, and our AI systems. Your initial mandate is to design and implement the foundational data platform around our core metrics, and set us up for long-term analytical scalability. This role is ideal for an engineer who has built a data platform end to end and wants ownership of the full data stack. You’re comfortable operating in ambiguity and focused on driving real business impact. What you’ll do * Design and implement our first scalable data warehouse/lakehouse to support KPIs. * Build and maintain reliable data pipelines (batch and/or streaming) from application databases and third-party tools. * Work with leadership to translate business metrics into concrete data models and schemas. * Define and own data modeling standards and best practices. * Implement monitoring, data quality checks, and observability around pipelines and core tables. * Enable BI and data analysts through well structured models and self-serve friendly datasets. * Document the data platform (lineage, definitions, contracts) and help establish a shared source of truth for metrics. Experience * 3–5+ years of experience as a Data Engineer, ideally in a mid-stage startup. * Solid programming skills in Python. * Strong SQL skills and experience designing/data modeling for analytics * Hands-on experience with a modern cloud data stack, such as: * Warehouses: Snowflake, BigQuery, Redshift, Databricks, etc. * Orchestration/transformation: dbt, Airflow, Dagster, or similar. * Ingestion: Fivetran, Stitch, custom ingestion pipelines, etc. * Experience building and operating production-grade data pipelines (performance, reliability, cost-awareness). * Strong understanding of data quality, testing, and monitoring practices. * Comfort starting from a relatively greenfield environment and making pragmatic build vs. buy decisions. Nice to have * Experience supporting BI tools (Looker, Mode, Tableau, Metabase, etc) and designing semantic layers. * Experience in B2B SaaS, especially around revenue, usage, and customer health metrics. * Prior experience as an early data hire or working in a small or medium, fast-growing startup. Perks and Benefits (Full-time Employees) * Competitive compensation and equity * Unlimited PTO * Up to 100% employer covered monthly healthcare premium (medical, dental, vision) * Lunch provided via Sharebite, plus dinner for any later office days. * Parental leave up to 12 weeks * Tax free commuter and parking benefits * Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program (Rightway) * Free One Medical Membership * 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $160K - $195K

Job Description MONTICELLOAM, LLC and its affiliates ("Monticello") is a real estate and asset-based lender providing asset management and comprehensive capital solutions for healthcare, multifamily, and commercial real estate assets throughout the US. Monticello is seeking team players who can work in a collaborative environment and possess drive, integrity, creativity, compassion, and a strong work ethic. We're looking for an AI Engineer to build and deploy intelligent systems across asset management, underwriting, and business intelligence: from document extraction pipelines to AI-powered internal tools to autonomous workflows that reduce manual work across the business. This role is fully in person. Candidates must be able to work onsite at our New York City office. Our Tech Stack At Monticello, we build and operate our data platform using modern, scalable technologies. As an AI Engineer, you'll work hands-on with: AI & Machine Learning • Large Language Models (via AWS Bedrock) for document extraction, analysis, and autonomous decision support, • RAG architecture, prompt engineering, and agent-based workflows, • Python as the backbone for everything: AI pipelines, automation, backend services, and data engineering Data Platform • Snowflake as our cloud data warehouse, • DBT for modular, version-controlled data transformations, • Airflow for orchestration and workflow automation, • SQL for data modeling and analysis' Infrastructure & Delivery • AWS for cloud infrastructure and services, • React for front-end interfaces and internal tools You'll join a small, collaborative team that builds the AI and data systems powering Monticello's real estate finance operations. What you'll own: • Designing and building AI pipelines that extract structured data from unstructured documents — loan files, appraisals, financial statements, invoices, • Building full-stack internal tools (React + Python APIs) that put AI capabilities directly in front of business users, • Developing RAG systems, AI agents, and automated workflows that reduce manual work across asset management You'll also contribute to: • Data pipelines and warehouse architecture (Snowflake, Airflow, dbt), • Data quality frameworks and automated QC processes, • Dashboards and reporting that drive portfolio decisions Qualifications Core: • Experience building and deploying AI/ML solutions end to end, • Strong Python skills across AI/ML, data engineering, and backend services, • Hands-on experience with LLMs — agent orchestration, prompt engineering, RAG architecture, document extraction pipelines, • Familiarity with cloud AI services (AWS Bedrock preferred) Also valuable: • SQL and data modeling experience (Snowflake, dbt), • Front-end development with React, • Experience working directly with non-technical stakeholders We welcome applicants from a variety of educational and professional backgrounds. If you've built and shipped AI solutions and are looking to own projects end to end, we'd like to hear from you — even if your experience doesn't match every bullet. What We Value • Intellectual curiosity and a passion for solving complex problems., • Balancing technical quality with practical business impact., • An entrepreneurial mindset and creative approach to innovation and continuous improvement. At Monticello, we believe that finding creative solutions for our clients comes from the collaboration of people with diverse backgrounds and perspectives. We strive to build an inclusive work environment that celebrates differences and empowers all individuals with opportunities to channel their entrepreneurial spirit. Monticello is an EEO employer. Monticello offers a competitive base salary and bonus. The base salary range for this position is $110,000-$140,000/year. The specific compensation that will be offered is based on an understanding of the hired candidates' qualifications at the time of hire. Employees are eligible for a discretionary bonus based on employee work performance reviewed during the annual review process.

Job Description Data Engineer | Early Hire Location: New York, NY (Hybrid) Salary: $150-300k Headquartered in New York, we are a booming healthtech software start-up building an AInative physical care platform, starting with home health, to remove the massive administrative waste that drags down US healthcare. Our AI automates backoffice work, letting us serve patients who currently go untreated while operating with meaningfully higher margins than traditional providers. We’ve brought together top AI talent (from leading tech and quantitative firms) and experienced healthcare operators to deliver care at the speed and scale of an AI company. Due to growth and demand for our product, we are urgently looking for Data Engineers to join the team! What You'll Do • Design, build, and maintain endtoend ETL/ELT pipelines that move data from source systems all the way through to analyticsready models., • Own and evolve our modern data stack—including tools like Airflow, dbt, and Snowflake—with a focus on reliability, observability, and costefficiency., • Architect and maintain data platform and infrastructure components (orchestration, environments, CI/CD, monitoring) to keep everything running smoothly in production., • Proven experience as a Data Engineer owning endtoend data pipelines and platforms, rather than primarily analytics or BI/reporting work., • Strong SQL skills and proficiency in Python (or a similar language) for building and maintaining production data workflows., • Handson experience with Airflow (or similar orchestrators), dbt, and Snowflake (or equivalent cloud data warehouses)., • A track record of building and operating productiongrade data infrastructure in highgrowth environments (e.g., fastscaling startups or similarly dynamic settings)., • Clear signals of excellence and high trajectory—such as toptier academic background, impactful work at highgrowth companies, or rapid scope increases over your career., • A thoughtful approach to data modeling (e.g., dimensional/Star schemas) and working with semistructured data (JSON, APIs, event streams)., • Familiarity or interest in healthcare data (claims, clinical data, HL7/FHIR, EHR data) and its nuances., • Competitive base salary ($150-300k DOE), • Equity, • Comprehensive benefits package (Medical, Dental, Vision), • Flexible hybrid schedule, • Real ownership in a high-growth and cutting-edge environment, • High exposure, working closely with leadership, • Opportunity for growth: fast-track path to a strategic decision-making role for interested candidates, • Fun, professional, and innovative company culture

Job DescriptionData Engineer Healthcare AI Platform | Data Infrastructure | New York Hybrid About the Company We are representing a high-growth AI startup building infrastructure to automate complex administrative workflows in healthcare. The company is creating an AI-native platform that integrates with provider systems and helps automate areas such as insurance verification, prior authorization, billing, intake, revenue cycle operations, and clinical workflow support. This is a rare opportunity for a data engineer to build core data infrastructure from the ground up in a complex, high-impact domain where clean data, reliable pipelines, and operational visibility directly shape product and business decisions. The Role We are looking for a Data Engineer to build the data infrastructure powering analytics, business intelligence, operational monitoring, and AI-driven decision-making across a healthcare automation platform. You will design and maintain data pipelines, integrate fragmented healthcare and operational data sources, model complex workflows into clean data structures, and create the analytics foundation that helps the company measure, monitor, and optimize its systems. This role is ideal for someone who enjoys owning the full data stack: ingestion, transformation, modeling, analytics, alerting, and infrastructure decisions. Over time, you will have the opportunity to take end-to-end ownership of the data platform and shape the technical direction of the company's data architecture. What You'll Do Design, build, and maintain reliable data pipelines across internal systems, third-party APIs, and healthcare data sources. Integrate complex data sources such as operational systems, healthcare records, billing workflows, claims-related data, and external feeds. Build clean, scalable data models for revenue cycle workflows, intake operations, clinical processes, and business reporting. Develop analytics-ready schemas that support dashboards, reporting, monitoring, and operational decision-making. Build dashboards, alerts, and analytical tools to identify automation opportunities and operational bottlenecks. Support product, engineering, operations, and leadership teams with high-quality data infrastructure. Contribute to the technical direction of the business intelligence and data platform. Improve data quality, reliability, observability, and performance across the stack. Help create the foundation for AI/ML-driven workflows, analytics, and automation. What We're Looking For 3+ years of experience building and maintaining production data pipelines, warehouses, and analytics infrastructure. Strong SQL skills. Experience with at least one modern data warehouse or lakehouse such as Databricks, Redshift, Snowflake, BigQuery, or similar. Experience with relational databases such as Postgres or MySQL. Experience building ETL or ELT pipelines using tools such as Airflow, dbt, Dagster, or similar orchestration frameworks. Comfort working across the full data lifecycle, from raw ingestion through analytics-ready models. Ability to model complex operational domains into clean, queryable schemas. Comfort with exploratory analysis, statistical thinking, and analytical problem-solving. Experience using Python or R for data analysis. Strong communication skills and ability to explain technical data concepts to non-technical stakeholders. Ability to partner effectively with product, engineering, and operational teams. High ownership, detail orientation, and comfort operating in a fast-paced startup environment. Nice to Have Experience in healthcare technology or healthcare operations. Familiarity with healthcare data standards or data types such as EDI, HL7, FHIR, claims data, clinical documentation, or provider workflows. Experience with real-time or streaming data pipelines. Background in data science, machine learning, or feature engineering for AI/ML systems. Exposure to BI tools such as Hex, Sigma, or similar. Experience working in a high-growth startup or scale-up environment. Familiarity with cloud infrastructure and tooling such as AWS, Terraform, or similar. Why This Role Is Exciting You will build foundational data infrastructure rather than simply maintain legacy systems. Your work will directly shape how an AI healthcare platform measures and improves operations. You will work with complex, messy, high-value healthcare data. You will partner closely with product, engineering, and operations rather than sit in a silo. You will have the opportunity to define the long-term data architecture for a fast-scaling platform. You will help create analytics and automation systems that reduce administrative waste in healthcare. Work Model Full-time role. Hybrid in New York, with regular in-office collaboration expected. Visa sponsorship is not available for this position.

Job Description Job Title: Data Architect (Remote) About the Role Our client is seeking a mid-level Data Architect with 3–7 years of experience to join our growing insurtech team. In this role, you will design, optimize, and maintain data architectures that power key insurance products, analytics, and operations. You'll collaborate with cross-functional teams to ensure data is reliable, scalable, secure, and aligned with business needs in a fast-evolving insurance technology environment. Key Responsibilities • Design, document, and maintain scalable data models, data pipelines, and storage solutions for insurance products and analytics., • Architect and optimize cloud-based data platforms (e.g., AWS, Azure, GCP) for performance, cost efficiency, and security., • Collaborate with engineering, product, actuarial, underwriting, and data science teams to understand data requirements., • Implement data governance, data quality, and metadata management practices., • Define and enforce data architecture standards, patterns, and best practices., • Support integration of third-party data sources, including telematics, claims data, customer data, and policy data., • Perform root cause analysis and troubleshoot complex data issues., • Partner with security teams to ensure compliance with industry regulations (e.g., HIPAA, SOC 2, state insurance requirements)., • Evaluate new technologies, tools, and frameworks that can improve data capabilities., • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field., • 3–7 years of experience in data architecture, data engineering, or a similar role., • Strong experience with cloud data platforms (AWS, Azure, or GCP)., • Proficiency in data modeling (conceptual, logical, physical) and database design for relational and NoSQL systems., • Hands-on experience with ETL/ELT pipelines, data orchestration tools (e.g. Airflow, dbt), and data warehousing., • Strong SQL skills and familiarity with distributed computing frameworks (e.g., Spark)., • Experience designing data solutions for analytics, reporting, and machine learning workflows., • Understanding of data security, privacy, and governance best practices., • Experience in the insurance or insurtech industry (claims, underwriting, actuarial, policy lifecycle, regulatory reporting)., • Familiarity with insurance-specific data standards (e.g., ACORD)., • Experience with data cataloging tools (e.g., Collibra, Alation)., • Exposure to event-driven architecture (Kafka, Kinesis, or similar)., • Strong problem-solving and analytical abilities., • Ability to work independently in a fully remote environment., • Collaborative mindset with the ability to translate business needs into technical solutions., • Detail-oriented approach with a focus on data quality and reliability.

Job Description SAP HANA Administrator (BTP/SAC) We have an immediate need for an SAP HANA Administrator to join a management consulting company for a 1-year contract. The SAP Engineer will provide administration and troubleshooting for BI/Analytics Landscape - SAP HANA Cloud, SAP Analytics Cloud (SAC), and SAP Business Technology Platform (BTP). As part of our process after applying, you may receive an invitation from our AI Recruiter Avery for a short conversation that lets you share more about your background beyond your resume. For questions, contact • Location: Remote (Eastern Time Zone Business Hours), • Compensation: This job is expected to pay about $60 – 65 W2 plus benefits, • Evaluates critical BI/Analytics tiers security issues (content, internal controls, access levels, etc.) and makes recommendations, such as infrastructure & application patching, upgrades to new versions or successor releases., • Working directly with customers globally, resolving BI/Analytics infrastructure-related escalated issues., • Recommends changes, engineered solutions, and participates in the implementation., • Reviews, develops, recommends, enforces, and adheres to BI/Analytics, SAP, AWS, include policies and procedures on high availability, access management and scalability., • Bachelor's or Master's degree in Information Technology from an accredited college/university, • 3-6 years of work experience in managing, supporting & engineering of Business Intelligence/Analytical tools like SAP HANA Cloud, SAP Analytics Cloud., • Strong expertise working with HANA Database Cloud, Datawarehouse on HANA, Administration, Performance Tuning, Data Tiering & Memory Management, HANA Cloud workload management, Identification of Long running queries and remediation, HANA Cloud parameters., • Strong expertise working with SA Analytics Cloud (SAC) - Creation of Models, Stories, Analytics applications, Row/Column level Security, Folder Structuring, performance tuning, best practices, Mobile App, Integration with SAP HANA/Third party applications., • Good Understanding of Data integration tools like SAP Data Intelligence (DI), Smart Data Integration (SDI), SAP Datasphere, SAP Landscape Transformation (SLT), Airflow., • Good Understanding of SAP ODATA/UI5/FIORI development and its security, SAP Integration Suite capabilities like Cloud Integration, API Management. Irvine Technology Corporation (ITC) is a leading provider of technology and staffing solutions for IT, Security, Engineering, and Interactive Design disciplines servicing startups to enterprise clients, nationally. We pride ourselves in the ability to introduce you to our intimate network of business and technology leaders – bringing you opportunity coupled with personal growth, and professional development! Join us. Let us catapult your career! Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

Job Description Senior Data Engineer Location: Remote (U.S.) or New York City Type: Full-Time We're seeking a talented Senior Data Engineer to help reshape how brands communicate—by empowering them to market with precision, not excess. You’ll play a pivotal role in building scalable systems that turn noisy customer data into clear insights for smarter machine learning decisions. It’s a fast-moving, hands-on role with a tight-knit engineering team and real impact from day one. Responsibilities • Architect and maintain robust data pipelines that scale across high-volume sources, • Develop an event taxonomy and normalization layer for clean, consistent data ingestion, • Use tools like Airflow and dbt to manage data workflows and transformation, • Collaborate with data science and ML teams to support model training and deployment, • Design optimized data models for reliable storage and analysis, • Monitor data workflows and troubleshoot issues across the full pipeline, • Implement ETL/ELT processes with a sharp eye for performance and reliability, • Contribute to feature engineering and A/B test infrastructure in big data environments, • Uphold high standards for data quality, security, and governance You Bring • 5+ years in data engineering, working with complex, high-volume systems / significant data. Think Spotify, Wayfair, Shopify, Netflix etc..., • Strong Python and SQL chops, • Experience with asynchronous Python, • Familiarity with DAG tools like Airflow, dbt, or Dagster, • Comfort jumping between reporting layers and infrastructure architecture, • Solid understanding of cloud platforms (AWS, GCP, Azure) and deploying data solutions, • Knowledge of dev-ops best practices and containerized environments, • Strong communication skills—able to translate technical complexity clearly, • Ownership mindset with a bias for building, refining, and shipping production-quality systems The position is fully remote but you must be based in the US. We will pay up to $230k per annum + benefits

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Software Engineer to lead the vision setting for and deployment of AI solutions across Uncommon Schools—from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you'll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI. Your work will directly impact how thousands of educators and administrators work each day. Duties & Responsibilities Solution Vision & Architecture • Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems, • Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability, • Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks, • Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring, • Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently, • Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency, • Develop and maintain a library of "Prompt Blueprints" and best practices for AI implementation across the organization, • Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems, • Coach and support adjacent teams on AI development methodologies and emerging best practicesQualifications Required • Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience, • 7+ years of professional software development experience, • 5+ years of hands-on experience building integrations using APIs between applications, • 5+ years working with source control and continuous integration tools (such as GitLab), • Proficiency coding or scripting in at least one programming language (Python, SQL, JavaScript/TypeScript, or Node.js), • Experience with frequent, incremental code testing and deployment practices, • Master's degree in Computer Science, Data Science, or related field, • Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch, • Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI), • Experience working with modern data tooling (e.g., dbt, Airflow) or similar frameworks for data transformation and workflow orchestration is a plus, • Experience designing and optimizing prompts for generative AI models, • Track record mentoring or coaching other developers on technical practices Additional Information Compensation Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. The full compensation range for this role is $120,700-$142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Additionally, because we value internal growth and tenure, current staff members are not subject to salary caps within this range. Benefit Highlights • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts, • Location: New York, NY | Hybrid (3 days/week in-office), • Schedule: 3 days per week in-office in accordance with Uncommon Schools policy, • On-call availability: You'll be on-call for data infrastructure emergencies, • Potential after-hours work: Data migrations, emergency pipeline fixes, and critical infrastructure maintenance may occasionally require work outside standard business hours, • Travel: Minimal travel, including quarterly school visits and routine local travel within the region As an equal opportunity employer, Uncommon 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. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in data engineering, analytics engineering, ETL/ELT workflows, pipeline orchestration, data quality testing, warehouse design, and structured technical documentation processes. This role supports current and upcoming remote consulting opportunities focused on structured data pipeline review, analytics engineering workflow analysis, orchestration assessment, data quality validation, warehouse documentation, and high-quality project execution. Selected professionals will apply their data engineering expertise to review realistic pipeline scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks. Key Responsibilities Professionals in this role may contribute to: Pipeline Development & ETL/ELT Review • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, incremental logic, watermark behavior, transformations, and output tables, • Evaluate pipeline outputs against defined data contracts, expected table structures, source materials, and transformation requirements, • Support structured review of SQL models, dbt projects, pipeline documentation, transformation logic, and data processing workflows, • Review orchestration scenarios involving Airflow, Dagster, Prefect, scheduled jobs, DAG dependencies, retries, and workflow execution, • Evaluate data quality tests against known pass/fail cases, validation rules, test suites, and documented expectations, • Support structured review of data quality checks, pipeline test cases, orchestration documentation, and monitoring workflows, • Review warehouse design scenarios involving schemas, data models, performance targets, query-time budgets, partitioning, clustering, and storage design, • Evaluate schema designs against defined contracts, downstream requirements, performance expectations, and documented constraints, • Support structured review of data contracts, schema documentation, warehouse models, and analytics engineering artifacts Strong candidates may have: • 3+ years of experience in data engineering, analytics engineering, data platform engineering, BI engineering, warehouse engineering, or related technical roles, • Experience with one or more areas such as dbt model development, ETL/ELT pipelines, orchestration, data quality testing, warehouse design, schema documentation, incremental models, or data contracts, • Familiarity with tools and platforms such as dbt, Airflow, Dagster, Prefect, Snowflake, BigQuery, Redshift, Databricks, Spark, SQL, Python, or similar data engineering systems, • Comfort reading and preparing data engineering artifacts such as dbt models, DAGs, schema docs, data contracts, test suites, pipeline documentation, and warehouse diagrams, • Strong written communication skills and ability to explain data engineering reasoning clearly, • Bachelor's or master's degree in computer science, data engineering, information systems, software engineering, statistics, mathematics, or a related technical field is helpful, • Experience with dbt model development, data contracts, incremental models, data lineage, orchestration frameworks, or modern data stack workflows, • Familiarity with Snowflake, BigQuery, Redshift, Databricks, Spark, SQL optimization, Python-based pipelines, or cloud data platforms, • Experience preparing or reviewing DAGs, schema documentation, data quality tests, transformation logic, warehouse models, or pipeline runbooks, • Familiarity with CI/CD for data pipelines, data observability, testing frameworks, or performance tuning, • Apply data engineering and analytics engineering expertise to structured remote project work, • Contribute to high-quality pipeline review, data quality assessment, orchestration analysis, and warehouse documentation workflows, • Work on flexible, project-based assignments aligned with your professional background, • Use your data engineering judgment in a focused, detail-oriented consulting environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $95–$135 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:

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 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. Staff Software Engineer The Role As a Staff Software Engineer, you will shape the technical direction and architecture of your business unit/vertical. You'll drive innovation across verticals, solve large-scale system challenges, and mentor senior engineers to maximize impact. You operate with autonomy and influence outcomes at the vertical and/or organizational level. What You'll Do • Define and lead multi-team technical strategies for scalability and interoperability., • Design frameworks and reusable systems used across multiple engineering pods. Define engineering patterns adopted across Datavant., • Drive cross-functional initiatives in data architecture, security, and reliability., • Advise leadership on technical direction and major tradeoffs. Represent engineering in executive technical decisions and planning., • Backend: Python, Go, Java; microservices; REST and GraphQL, • Frontend: TypeScript, React, Next.js (as needed for full-stack or cross-domain work), • Infrastructure & Cloud: AWS, multi-cloud architectures, Kubernetes, Docker, and infrastructure-as-code tooling, • Data Platforms: Snowflake, Spark, SQL, S3; advanced data engineering workflows and high-scale data pipelines, • ETL & Orchestration: Airflow or AWS Glue, • Streaming: Kafka or Kinesis for real-time ingestion and system integrations, • Observability: Enterprise-level telemetry systems including DataDog, Grafana, and CloudWatch, • 10+ years of software engineering experience with demonstrated system design mastery., • Deep experience with large-scale distributed systems, multi-cloud architectures, data pipelines, and security., • Strong organizational influence and ability to align teams across verticals., • Ability to translate strategic objectives into scalable engineering execution., • Commitment to mentorship, technical excellence, and continuous improvement.Leadership Qualities & Mindset, • Operate as a trusted technical advisor and thought leader. Create clarity in ambiguous, cross-functional problem spaces., • Balance vision with pragmatic implementation and organizational awareness., • Champion scalability, security, and compliance as shared responsibilities., • Elevate engineering standards and inspire architectural excellence., • Act with integrity, empathy, and long-term impact orientation.Core Value Expectations, • Earn trust through architectural stewardship and enterprise-grade reliability., • Obsess over customers by driving scalable, secure, high-impact solutions., • Prioritize growth over comfort by embracing the hardest challenges and modeling excellence., • Win as a team by aligning pods, shaping cross-functional strategy, and building talent. 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:$220,000—$275,000 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 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, • 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), • 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, • 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 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 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.

Job Description Job Title: Senior Enterprise Applications Engineer Location: Secaucus, NJ (Hybrid) Salary: $160K – $185K + Bonus High End Fashion Apparel company seeks Senior Enterprise Applications Engineer to join their Team! Responsibilities · Serve as senior technical owner for the Salesforce Commerce Cloud conversion to Shopify Plus replatform from an enterprise integration perspective. · Design, build, and debug Shopify Plus integrations across ERP, OMS, POS, financial systems, and downstream analytics platforms. · Own production stability during cutover and post-launch, acting as Tier-3 escalation for cross-system incidents. · Share responsibility with the development and integrations team for existing enterprise integrations beyond Shopify. · Build and maintain APIs, middleware, automation, and backfills supporting enterprise workflows. · Partner closely with the Enterprise Applications Support team to ensure clean escalation paths and durable fixes. · Work closely with BI & Analytics to validate data flows, reconcile system-of-record discrepancies, and remediate upstream integration issues. · Use SQL-based analysis to ensure operational and financial data accuracy across systems. · Serve as the senior escalation point for complex integration and platform issues. · Cross-train development, integration, and support teams on Shopify Plus integrations and enterprise patterns. · Establish documentation, standards, and repeatable support models to reduce single-point-of-failure risk. · Qualifications · Demonstrated, hands-on experience with Shopify Plus, including production integrations with ERP, OMS, POS, or financial systems. · Senior-level experience building and supporting enterprise integrations using APIs and event-driven architectures. · Strong SQL skills for data validation, reconciliation, and debugging across systems of record. · Strong experience with Python for integrations, automation, backfills, and data processing. · Experience acting as an escalation point for production incidents involving multiple systems. · Experience with .NET in ERP environments (e.g., BlueCherry or similar). · Retail, ecommerce, or omnichannel business experience. · Experience working alongside external agencies during platform implementations. · Experience working with dbt and modern ELT/data transformation tools (e.g., dbt Cloud, Fivetran, Airflow or similar), including supporting and troubleshooting downstream analytics and data models.

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: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Staff Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Design and own foundational research and models that power our recommendations ecosystem., • Identify the next step change in our technical capabilities, conduct state-of-the-art applied research, and move them into production using best practices in machine learning engineering., • Design and implement solutions that prioritize availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with Directors and VP+ to understand and shape Hinge’s strategic direction, as well as work with other Machine Learning Engineers, Product Managers, Data Engineers, and Scientists to make that a reality., • Coach, mentor, and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++ and a deep understanding of low-level deep learning computation fundamentals., • System design & architecture: Proven track record of research, training, and deployment of DNNs at scale. Deep understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of various DNN architectures, track record of building, debugging, and fine-tuning models., • DevOps skills: Track record of deploying, managing, and orchestrating offline and online deep learning models at scale., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds. Proven ability to influence company strategy and direction is a plus., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 8+ years of experience, depending on education, as an MLE., • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes., • 4+ years of experience in designing and developing online and production grade ML systems., • 3+ years of experience leading projects with at least 2 other team members through completion. #Hinge .

Job DescriptionDescription: About the Role Affiliated Monitoring is seeking a visionary and hands-on Director, Head of Data Engineering to lead the evolution of our enterprise data capabilities. This is a critical leadership position responsible for architecting and implementing a modern data infrastructure—including our first enterprise data warehouse—to support our rapidly expanding needs in business intelligence, AI, and operational reporting. Our systems produce vast amounts of transactional data, which remain underutilized. You will spearhead the transformation of our data environment into a strategic asset—one that not only empowers decision-making but also fuels the next generation of AI-driven innovation. This role is both strategic and technical. You will start as a player-coach (approximately 50% hands-on), evolving into a leadership-heavy role (up to 75%) as you scale the team and build a future-ready data organization. If you're excited about the prospect of shaping a data strategy from the ground up, enabling machine learning and AI, and building a high-performance team, this is the opportunity for you. About Us At Affiliated Monitoring (), we protect what matters most. As a leading provider of personal and business security monitoring services, our work has real-life impact—helping people live safer, more independent lives. With over 40 years of profitable growth, we're a company where stability meets innovation. Our technology group operates like an entrepreneurial startup within a well-established business. We move fast, build smart, and take pride in creating reliable, scalable systems that power everything from mobile apps and APIs to real-time alerting and integrated web applications. As the security industry undergoes a digital transformation, AI will play a central role in our future—from automating workflows to powering predictive insights. The Director, Head of Data Engineering will be at the forefront of making this a reality. Key Responsibilities • Design and implement a modern, scalable enterprise data warehouse from the ground up, • Lead the development of a unified data architecture that supports operational reporting, business intelligence, and AI readiness, • Evaluate and select data platforms, tools, and technologies (e.g., Snowflake, dbt, Airflow) that support current needs and future innovation, • Partner with Engineering, Product, and Business stakeholders to understand data requirements and translate them into actionable architecture and pipelines, • Advance our ability to deliver self-service analytics across the organization, • Build and mentor a high-performing data team; foster a collaborative, agile, and innovation-driven culture, • Implement robust data governance, quality assurance, and security practices, • Develop and execute a strategy to support machine learning, natural language processing, and other AI use cases, • Stay informed on emerging trends in data engineering and AI, and integrate best practices into our roadmap, • Ensure data initiatives are delivered on time, within budget, and aligned with business goals Requirements: Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred), • Proven success in leading data teams and scaling data infrastructure, • Hands-on expertise with modern data stacks (Snowflake, dbt, Airflow, AWS, Looker, etc.), • Experience delivering enterprise data platforms that power internal analytics, external products, and AI/ML use cases, • Strong business acumen; able to translate technical vision into business impact, • Excellent leadership, project management, and communication skills, • Demonstrated ability to work cross-functionally and influence at all levels Why Join Us • Be the architect of a next-generation data ecosystem in a fast-evolving company, • Play a pivotal role in enabling AI and data science across our business, • Work alongside a talented, mission-driven team that values quality and creativity, • Enjoy high visibility and the ability to make a lasting impact on the future of the company, • Competitive salary and comprehensive benefits, • A culture that values work/life balance, team collaboration, and professional growth Benefits and Perks • Excellent health, dental, and vision insurance, • 401(k) retirement plan with company match, • Gym and fitness reimbursement, • Generous paid time off and holidays, • Corporate discounts and life insurance, • Team-building events, catered lunches, and more If you're ready to build something foundational that unlocks the full potential of our data—and to help drive the AI-powered future of security—we'd love to hear from you. Affiliated Monitoring is committed to a diverse and inclusive workforce, one that reflects the varied communities we serve. The services we offer and the products we build greatly benefit from a range of perspectives, which can only come from diversity of all types at all levels of the organization. Achieving true diversity and inclusion is the right thing to do and is also the smart thing for our business. We strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply. Affiliated Monitoring is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies, • Protect our users' privacy and security through best practicesThe ideal candidate has:, • 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality), • Expertise in SQL, job experience, and demonstrated strength with Python, • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake), • Expertise with SQL tuning, Spark development, medallion and event-driven architectures., • Familiarity with healthcare or insurance, • Familiarity with data security and HIPAA compliance, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:

Job Description TL;DR Kharon is seeking a full-time Senior Software Engineer based in New York City. This role requires in-office attendance at least 3 days a week. RESPONSIBILITIES: As the Tech Lead for our Growth team, you will be the architectural backbone of our internal data ecosystem. You will lead the design and implementation of new applications and data pipelines. This is a "player-coach" role requiring a full-stack mindset and deep expertise in data architecture. You will work alongside a Director of Data Analytics, QA/BA, and Director of Product teammates and work cross functionally with Marketing, RevOps, Sales, and Client Services to produce comprehensive and accessible insights on our business. • BI: Support of our internal business intelligence applications. Own the architecture to ensure services are modular, scalable, and performant (utilizing React/Vue for frontend and Python/Java for backend)., • Data Migrations & Systems Integration: Design and execute complex data migrations and integrations., • ETL & Data Modeling: Build and optimize resilient ETL pipelines (e.g., using AWS Glue, Airflow, or DBT) to ingest data into our warehouse/data lake. Implement robust schema designs for relational and potentially graph databases., • User Administration and Account Service Support: Provide technical leadership for our user and customer administration, ensuring secure, scalable, and intuitive management of internal and external user access., • 8+ years of software engineering experience, with 2+ years in a technical leadership or "Lead" capacity and some intersection with internal business processes., • Strong coding skills in Python or Java, with deep experience in modern web frameworks and cloud-native architectures (AWS preferred)., • Expert-level knowledge of SQL and relational database design. Experience with data warehousing (Snowflake, Databricks, or BigQuery) and "Medallion" architecture (Bronze/Silver/Gold layers)., • Proven track record of interacting with and developing against 3rd party APIs, particularly Salesforce., • Experience with containerization (Docker, Kubernetes) and CI/CD automation to ensure high availability and low latency., • Ability to translate complex business requirements from Marketing, Sales, and Client Services into technical roadmaps., • Experience with Graph Databases (Neo4j, Neptune) for mapping complex client relationships., • Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk. What does that mean? Great question. Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today’s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled. When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. Now, we’re experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Senior Software Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we’re growing at a rate that makes us unstoppable. If you’re looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don’t take ourselves seriously but we’re serious about the work we do and there is absolutely no slowing us down. To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We’re nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect: • Fully sponsored medical, dental, and vision insurances, • FSA program for both medical and dependent care, • Long term disability, • 401k + Roth with matching and immediate vesting If interested in pursuing this position, please visit to apply. Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. #LI-Hybrid #LI-AG1 Powered by JazzHR c7BCdpIbIF

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 Engineering Manager, Data you will lead and represent a team of Data and Analytics Engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power company-wide reporting, product analytics, and all post-source data operations, ensuring these are reliable, observable, accurate, fresh, scalable, and extensible. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our ML, Analytics, BizOps, and Engineering teams and define a vision for data model best practices in our warehouse and ETL pipeline architecture, while supporting new business initiatives. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Drive the development of data pipelines and analytical products in the warehouse, ensuring reliable, performant systems and timely delivery of business-critical insights., • Work closely with business partners across Data Science, Machine Learning, Engineering, Product, and BizOps to align data initiatives with company needs and unlock new opportunities., • Define a vision for a scalable data model architecture in the warehouse, and create a roadmap for the team to iterate into that end-state., • Lead execution, ensuring the team delivers high-quality, reliable data solutions aligned with business priorities, including leading sprint ceremonies and roadmapping., • Oversee data integrity, documentation, testing, and monitoring across systems to ensure stakeholders can trust and self-serve on our data., • Guide and contribute to architecture and design decisions, resolve critical technical issues, and ensure scalable development across our data stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau)., • Identify bottlenecks and implement improvements to team workflows, tools, and development practices., • Manage and mentor a growing team of data engineers; foster a culture of technical excellence, accountability, and continuous improvement., • Establish metrics to track progress, communicate priorities, and demonstrate business impact., • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use., • Drive reliability, scalability, observability, security, and cost-efficiency improvements across our data stack., • Own company-wide KPI reporting, including ad hoc analysis, product analytics, and dashboard development, ensuring the team delivers clear, accurate insights in response to evolving business questions.Requirements, • 2+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, and 6+ years of data or analytics engineering experience total, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization, • Hands-on background in building and maintaining ELT pipelines using SQL, DBT, and OLAP databases like Snowflake, • Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work., • Experience with workflow orchestration tools like Dagster, Airflow, Prefect., • Skilled in developing scalable reporting solutions using tools like 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, • Experience being an effective cross-functional partner with Machine Learning, Product, Analytics, 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, • Familiarity with healthcare data standards (e.g. HIPAA, FHIR) is highly desirable, • Experience with AWS cloud technologies is preferredBenefits 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 $200,000 and $265,000 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: . 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 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: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.Responsibilities: • Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features, • Define and own the technical roadmap for ML within your product area and align with company-wide priorities, • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally, • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data, • Communicate effectively to audiences of various technical and non-technical backgroundsWhat We're Looking For:, • Strong programming skills: Proficiency in Python and ML libraries such as PyTorch, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus., • System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role, • Previous experience in User Growth or Monetization, • 3+ years of experience designing and developing end-to-end, production grade ML systems, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, • 3+ years of experience leading projects with at least 1 other team member through completion. #Hinge .

Job Description Job Title: Principal Consultant, Data Work Style/ Location: Onsite, Washington DC Metro or New York, NY Type: Full-Time, USC and GC Status Accepted Sector: Data, AI & Analytics Target Salary: Competitive Position Overview BizFirst is supporting our client in identifying a Principal Consultant to lead data and AI engagements across a broad mix of industries and platforms. This is a senior, hands-on role for someone with 10+ years of experience who wants to own customer relationships, lead multi-stream delivery, and help shape a growing practice. Principal Consultants run their engagements. You’ll have direct access to client executives and data leadership, set technical direction for delivery teams, and decide how the work gets done. A growing portion of the practice sits at the intersection of data and generative AI, helping customers build agentic workflows, semantic layers, and LLM-ready data foundations. Our client is a fast-growing global data and AI consultancy with operations across three continents and 140+ consultants serving 70+ enterprise clients. They’ve built a consultant-first culture with a proprietary learning academy, paid certifications, and deep partnerships with platforms like Snowflake, Databricks, and Google Cloud. The US office combines the credibility of an established global brand with the energy of a New York startup. Your Career, Accelerated This is a senior role with real ownership. You’ll run engagements end-to-end, set the technical direction, and make decisions close to the ground where they can make a difference. You’ll work across a wide range of verticals and platforms, partner with alliance teams at Snowflake, Databricks, and Google Cloud to shape new work, and help build the playbooks, reference architectures, and learning academy modules that the next generation of consultants will learn from. What You'll Do • Own the customer relationship. Run multi-stream programs with direct access to client executives and data leadership, and make the calls that move the work forward, • Grow the account. Partner with business development, sales engineering, and Snowflake, Databricks, and Google Cloud alliance teams to scope new work, shape proposals, and expand existing engagements, • Deliver hands-on. Ship production-grade data platforms, pipelines, and AI workflows alongside consultants and senior consultants. Delivery at this level is hands-on, nothing gets handed off and forgotten, • Lead the team. Set technical direction for delivery teams of three to six consultants, break work into clear streams, unblock your engineers, review their code and designs, and raise the bar through your own contributions, • Shape the practice. Contribute to playbooks, reference architectures, and delivery patterns; mentor Senior Consultants moving toward Principal; and author the learning academy modules you wish had existed earlier in your career Tools & Tech Stack • Languages: SQL (lots of it), Python, Spark, • Data Platforms: Snowflake, Databricks, BigQuery, Microsoft Fabric; breadth across more than one is a plus, • Transformation & Orchestration: dbt, Airflow, Dagster, Prefect, • Ingestion & Streaming: Fivetran, Airbyte, dlt, Kafka, Kinesis, or homegrown pipelines, • Cloud: GCP, AWS, Azure, • Governance & Catalog: Unity Catalog, Snowflake Horizon, Microsoft Purview, • GenAI & ML: Snowflake Cortex, Databricks Mosaic, Vertex AI; RAG, semantic search, agentic workflows, and LLM-in-the-loop systems, • BI & Viz: Power BI, Tableau, Looker What We're Looking For This is a senior role, so we’re looking for someone with deep technical chops, a track record leading multi-stream delivery, and the judgment to run customer relationships at the executive level. Depth in many of these areas is what we’re after: • Located in Washington DC Metro or New York, NY, • 10+ years in data engineering, analytics engineering, or data platform consulting, • Track record leading multi-stream delivery on complex data and analytics programs, • Strong SQL fundamentals and data modeling depth (Kimball, Inmon, Data Vault, whatever your flavor), plus solid grounding in data engineering principles like data timelines, cleaning, and pipeline engineering, • Deep hands-on experience with modern cloud data platforms (Snowflake, Databricks, BigQuery, or Microsoft Fabric) and production ELT/streaming environments, • Working knowledge of data lakes, including when to use them and how to play to their strengths, • Hands-on experience with dbt and modern orchestrators like Airflow, Dagster, or Prefect, • Experience designing for lineage, access control, and cost efficiency from day one using tools like Unity Catalog, Snowflake Horizon, or Microsoft Purview, • Comfort working directly with client executives and data leadership, shaping proposals, and partnering with sales engineering and platform alliance teams, • Familiarity with classical ML and modern generative AI patterns including RAG, semantic search, agentic workflows, and LLM-in-the-loop systems, • Experience working with BI and data viz tools such as Power BI, Tableau, or Looker, • A hands-on delivery mindset, this role codes, reviews designs, and unblocks the team, it doesn’t hand things off and hope for the best, • A natural problem solver who stays curious, adapts quickly, and wants to build a better consultancy based on empowerment, autonomy, and doing right by the customer These aren't requirements, but if any of these describe you, we'd love to hear about it: • Certifications: Snowflake SnowPro, Databricks Data Engineer Professional, Google Cloud Professional Data Engineer, Microsoft Fabric Analytics Engineer Associate, and the like, • Hands-on experience building agentic workflows, semantic layers, or LLM-ready data foundations in production, • Industry depth in financial services, media and ad tech, gaming, freight and logistics, trading, or the public sector Perks & Benefits Our client offers stock standard benefits that everybody wants, plus a few extras: • Competitive salary, • Medical, Dental, and Vision plans picked for both young single professionals and those with families to support, • 401(k) match, dollar-for-dollar, up to 4% of your salary, • Flexible paid time off designed for adults, take time as you need it (and you do need at least two weeks off, preferably contiguous, per year), • Top-of-the-line hardware, optimized for horsepower or mobility (we’re all on Macs), • Proprietary learning academy with 100+ custom modules. At Principal level you’ll help shape the curriculum, authoring modules and mentoring peers through the topics you know best, • Certification stipend for the platforms you deliver on About BizFirst BizFirst is a recruiting firm built for companies that got tired of being account #47. We place talent across AI and data, GovCon, finance and operations, and telecom infrastructure. Every search is led by a senior Delivery Lead managing just 3 to 4 clients total. The result: candidates in days, a single point of contact from kickoff to placement, and a 94% retention rate past 90 days.

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in data science, analytics engineering, business intelligence, SQL analysis, experimentation, data engineering, and structured data workflow review. This role supports current and upcoming remote consulting opportunities focused on structured data science review, analytics workflow analysis, business intelligence assessment, experimentation review, data pipeline evaluation, metric documentation, and high-quality project execution. Selected professionals will apply their data and analytics expertise to review realistic technical scenarios, evaluate analytical requirements, prepare structured written outputs, and support accurate, evidence-based data workflow tasks. Key Responsibilities Professionals in this role may contribute to: Analytics, BI & Metric Review • Review data scenarios involving SQL analysis, ad-hoc business questions, dashboard specifications, metric definitions, funnel analysis, cohort analysis, and reporting outputs, • Evaluate analytical outputs against source data, defined business logic, expected numerical results, and documented requirements, • Support structured review of SQL queries, BI dashboards, dashboard specs, metric documentation, and analytical summaries, • Review experimentation scenarios involving A/B test design, readouts, lift calculations, statistical significance, guardrail metrics, and decision criteria, • Evaluate experiment outputs against defined metrics, expected values, testing assumptions, and analytical standards, • Support structured review of data science workflows, Python-based analyses, statistical outputs, and business interpretation materials, • Review data engineering scenarios involving ETL/ELT pipelines, dbt models, data quality monitoring, warehouse schema design, Airflow or Dagster DAGs, and pipeline documentation, • Evaluate pipeline outputs, schemas, transformations, orchestration logic, and data quality checks against documented requirements, • Support structured review of data artifacts such as dbt models, schema diagrams, data contracts, test suites, DAGs, and warehouse documentation Strong candidates may have: • 3+ years of experience as a data scientist, analytics engineer, BI analyst, data analyst, product analyst, data engineer, decision scientist, or related data professional, • Working fluency in at least two areas such as advanced SQL, dbt, data warehousing, Snowflake, BigQuery, Redshift, experimentation, A/B testing, pipeline orchestration, metric modeling, or Python for analysis, • Familiarity with tools such as SQL, Python, dbt, Airflow, Dagster, Snowflake, BigQuery, Redshift, Databricks, Looker, Tableau, Mode, Hex, Metabase, Power BI, or similar data and analytics systems, • Comfort reading and preparing data artifacts such as SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams, metric definitions, and pipeline documentation, • Strong written communication skills and ability to explain data decisions clearly, • A degree or professional background in data science, statistics, mathematics, computer science, economics, engineering, business analytics, information systems, or a related quantitative field is helpful, • Experience in product, consumer, SaaS, marketplace, fintech, e-commerce, or data-mature company environments, • Familiarity with experimentation frameworks, metric governance, data quality monitoring, warehouse design, pipeline orchestration, or modern data stack workflows, • Experience preparing or reviewing SQL queries, dbt models, experiment readouts, dashboards, schema diagrams, funnel analyses, cohort reports, or data documentation, • Experience with Python-based analysis, statistical testing, data modeling, analytics engineering, or pipeline QA, • Apply data science and analytics expertise to structured remote project work, • Contribute to high-quality analytics review, experimentation assessment, BI documentation, and data pipeline workflow analysis, • Work on flexible, project-based assignments aligned with your technical background, • Use your data judgment in a focused, detail-oriented technical environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $75–$130 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Job Description Apply now: Lead Analytics and AI Engineer, location is Remote. The start date is ASAP for this permanent position. Job Title: Lead Analytics and AI Engineer Location-Type: Remote (EST hours; optional access to NYC office) Start Date Is: ASAP Duration: Permanent Compensation Range: $130,000 – $150,000 base salary bonus Benefits: Medical, dental, vision, 401k, PTO Not eligible for visa sponsorship Job Description: Lead the design and delivery of analytics and AI solutions by turning business needs into scalable data pipelines, models, and production-ready technical solutions. Day-to-Day Responsibilities: * Partner with business stakeholders to gather requirements and translate problems into AI and analytics solutions * Design and build scalable data pipelines, ETL/ELT workflows, and data platform components * Write hands-on code in Python and SQL to develop pipelines, models, and supporting solutions * Build and optimize solutions in Databricks for analytics, reporting, and AI use cases * Create documentation and technical requirements for offshore development teams * Guide offshore execution and ensure solutions are delivered accurately and efficiently * Improve data quality, performance, monitoring, and reliability across pipelines and platforms * Support analytics, business intelligence, reporting, and AI initiatives with scalable data architecture Requirements: Must-Haves: * 6–10 years of experience in data engineering, analytics engineering, or related roles * Strong hands-on Python and SQL skills * Experience building and maintaining ETL/ELT pipelines and data workflows * Strong background in data engineering, data pipelines, and data warehousing * Databricks experience * Experience designing and delivering data and AI solutions * Ability to translate business needs into technical solutions * Strong communication skills and comfort in a client-facing environment * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Nice-to-Haves: * AWS experience * Experience with AI/ML tools or AI solution development * Experience with workflow orchestration tools such as Airflow * Experience with API-based ingestion and modern cloud data platforms * Experience supporting near real-time analytics or reporting environments

Job Description Job Title: Senior Data Scientist Location: United States (Can be based anywhere) Travel: As needed About the Role We are looking for a Senior Data Scientist to join a high-performing analytics team working on complex, real-world problems across multiple industries. In this role, you will collaborate with cross-functional teams to design, build, and deploy advanced analytics and AI solutions that drive meaningful business impact. You'll work on a variety of projects, ranging from optimizing operations to building machine learning and AI-driven applications, while continuing to grow your technical and problem-solving skills. Key Responsibilities • Translate business problems into data-driven solutions, • Perform exploratory data analysis and identify key insights, • Build, test, and deploy machine learning and AI models, • Develop and evaluate models using statistical techniques and experimentation (including A/B testing), • Work with modern AI approaches such as large language models (LLMs) and retrieval-augmented generation (RAG) when applicable, • Deploy solutions via APIs or data pipelines and monitor performance over time, • Collaborate with engineers and product teams to integrate solutions into applications, • Ensure models are accurate, explainable, and scalable, • Python and SQL for data science and analytics, • Distributed computing tools like Spark/PySpark, • Cloud platforms such as AWS, Azure, or GCP, • Tools like Airflow, Databricks, Docker, and Kubernetes, • Bachelor's degree with 8+ years of experience, or Master's/PhD in Computer Science, Statistics, Mathematics, or a related field, • Experience applying machine learning to real-world datasets, • Strong programming skills in Python and SQL, • Experience with large-scale data processing (e.g., Spark), • Familiarity with cloud environments and modern data tools, • Strong problem-solving and analytical thinking skills, • Excellent communication skills with the ability to explain technical concepts clearly, • Exposure to a wide range of industries and use cases, • Opportunities to work on cutting-edge AI and data science projects, • A collaborative, fast-paced, and learning-focused environment, • Strong mentorship and career growth opportunities

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Science Expert Type: Contract Compensation: $70–$120/hour Location: Remote Role Responsibilities • Design realistic, end-to-end data workflows that challenge today's best models., • Grade agent performance on complex scenarios in analytics and business intelligence., • Build scenarios involving SQL analysis, dashboard builds, and A/B test design., • Develop ETL/ELT pipelines, dbt models, and data quality monitoring., • Work on warehouse schema design and Airflow/Dagster DAGs. Must-Have • 3+ years as an analytics engineer, BI analyst, data scientist, or data engineer., • Working fluency in at least two of: advanced SQL, dbt, warehousing (Snowflake, BigQuery, Redshift), experimentation (A/B tests), pipeline orchestration (Airflow, Dagster), metric modeling, Python for analysis., • Comfortable with data artifacts: SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams., • Clear written communication; able to articulate reasoning and data decisions step by step., • Hourly contractor, • Upload resume, • AI interview based on your resume #hiringmercor

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We are seeking a talented Senior Data Engineer to join StubHub's Data team. In this role you will be responsible for designing and building the underlying systems and pipelines for centralizing StubHub's internal plus third-party data. Our team's goal is to empower organizations across the company to transform data for analysis and reporting, new product development, experimentation, and machine learning. This includes developing the core infrastructure for the data lake and data warehouse, creating foundational data models and data pipelines, and building shared tooling to ease the process of creating high-quality, trustworthy data assets. As a Senior Data Engineer on the Data Platform team, you will contribute to core infrastructure, frameworks, and analytical data layers. You will also play a key role in defining the culture and expectations of what great data engineering looks like, and mentoring others on the team to reach that bar. We are looking for the right person that is passionate about the power of both data and software development fundamentals, and can use them in tandem to create a data ecosystem that is principled, maintainable, and extensible to the hypergrowth happening at StubHub.You will specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do: • Build and operate scalable data pipelines with robust QA, monitoring, and alerting, • Create shared tooling to improve data practitioner (data engineering, analytics engineering, data science) productivity and quality across the company, • Influence the direction for key infrastructure and framework choices for data pipelining and data management, • Contribute to core cross-functional data models, • Launch data platform features that have immediate impact on the velocity of innovation and ultimately growth of the business, • Manage individual initiatives—Setting priorities, deadlines, and deliverables based on your technical expertise, • Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity in your team, • 7+ years of relevant development experience—in data platform or data engineering—in fast paced environments, • Very high SQL proficiency, with experience in both transactional RDBMS systems and distributed systems, • Strong programming and system design skills, • Experience designing and developing large-scale, efficient batch and streaming data processing, • Ability to analyze and reason about large datasets to identify data quality issues and other contextual insights, • Experience mentoring, delegating to, and reviewing the work of junior team members, • Passion for great data end-user experience and stewardship, • Experience with:, • Data pipeline management and orchestration tools, such as Airflow, • Cloud-based data warehousing solutions, such as Snowflake, BigQuery, and Redshift, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description Our client is an AI-powered Healthtech software startup in New York City, NY building infrastructure solutions to automate administrative tasks for the healthcare industry, reducing processing time, errors and ultimately resulting in cost savings and improved patient outcomes. Qualified candidates will have a minimum 3+ years of hands-on professional experience building data pipelines, data warehouses and analytics infrastructure in production environments. Applicants must have hands-on experience with the following technologies: SQL, Python (or R), at least one modern data warehouse (Databricks, Redshift, Snowflake, BigQuery) and RDBMS (Postgres, MySQL). BSCS or equivalent is required and top-tier universities are preferred. Candidates should have startup experience and the desire to work in a fast-paced environment. The Data Engineer will build data pipelines, ETL/ELT with modern orchestration tools (Airflow, DBT, Dagster), and any experience in Healthtech and/or HL7 or regulated data environments are a plus. The role features competitive base salary, equity and comprehensive benefits. Please send your resume to for consideration.

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. Reporting to the Head of Engineering, New Venture, and partnering closely with engineering, product, and clinical teams, the Senior Data & Insights Engineer will own the end-to-end data layer, from pipelines and data models to analytics and dashboards, ensuring data is reliable, accessible, and drives decision-making across the business. This is not a narrow pipeline-focused role, but a high-impact, high-autonomy position where you will be the go-to partner for answering critical business and product questions, ensuring data integrity, and continuously improving how data flows across systems. You will work across backend systems (Postgres), our data warehouse (Snowflake), and analytics tools (e.g., Mixpanel) to unify fragmented data into a reliable and actionable source of truth. In this early-stage environment, you will have the opportunity to define both the data architecture and how data is used day-to-day, with full ownership of the data layer and direct impact on product, clinical, and business decisions. Please note that this is a hybrid role based in New York City, with an expectation to be in the office 2–3 days per week at our 60 Madison Avenue location. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites. What you'll be doing: • Build and maintain data pipelines that move data from application databases (e.g., Postgres) into Snowflake., • Design, extend, and optimize data models across backend systems and the data warehouse., • Ensure data reliability, integrity, and timeliness across all systems and reporting layers., • Translate ambiguous business and product questions into clear analyses, dashboards, and SQL queries., • Develop dashboards and self-serve analytics tools for product, clinical, and operations teams., • Identify and resolve data discrepancies across systems (e.g., backend, warehouse, analytics tools)., • Integrate and reconcile multiple data sources into a consistent and trusted source of truth., • Partner cross-functionally to define metrics, improve data accessibility, and drive data-informed decisions., • Evaluate and implement tools for data orchestration, transformation, and scaling the data platform., • The team trusts data and uses it daily for decision-making, • Key metrics are clearly defined, consistent, and easy to access, • Data discrepancies are proactively identified and resolved, • New data questions can be answered quickly without reinventing pipelines, • 5+ years of experience in data engineering, analytics engineering, or similar roles, • Strong SQL skills (Snowflake or similar data warehouse experience required), • Experience working with backend systems (Python, Postgres or similar), • Proven ability to build and maintain data pipelines (ELT/ETL), • Experience working with product analytics tools (e.g., Mixpanel, Amplitude), • Strong intuition for data quality and debugging inconsistencies across systems, • Ability to turn ambiguous questions into structured analysis and insights, • Experience with tools like dbt, Airflow, Dagster, or similar, • Experience designing event tracking systems, • Exposure to healthcare or regulated data environments, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job DescriptionFocusKPI is looking for a Data Engineer to join our client's growing team and spearhead analyses, providing meaningful insights into their users and product. Work Location: 100% remote and ideally able to work New York EST hours Duration: 5 months/ 40 hrs per week Pay Range: $45 - $55/hr Responsibilities: • The initial project will be moving DBT models that currently run in Spark SQL to run in Redshift, • Need to have the business intuition to roughly understand the business logic in the existing data model and make sure the new one meets their needs, • Team would also like you to do some CI/CD work around their DBT job, where Python, GitHub Actions, and Airflow would be helpful, • Support new product launches, A/B testing, ramp-up recommendations, and root cause investigation, • Be constantly curious and continue to pursue in-depth explorations of the datasets, • Leverage new techniques to investigate their data and incorporate external information to boost our knowledge of this market, • Communicate complicated data findings in a clear and concise manner to our multi-disciplined teams, • Collaborate with stakeholders, including product, marketing, finance, etc., on initiatives that improve our company-level KPIs and match our business priorities, • Ad-hoc analysis to address urgent high-impact analysis for business stakeholdersQualifications:, • Bachelor’s degree in the Computer field, which requires logical, creative thinking, STEM majors, MS degree preferred, • 5+ years of industry experience is required, • Expertise in SQL (Need to have strong skills), • Strong experience in Spark/PySpark, Python, Scala, Airflow, and AWS, • Experience with DBT, Redshift, • Experience with data models, • Experience with CI/CD, • Experience with Python, GitHub, and Airflow is a huge plus to have, • Experience collaborating with and understanding the needs of stakeholders from a variety of business functions, including product, marketing, finance, and so on, • Experience in handling large-scale data with efficiency, • Strong analytical and problem-solving skills FocusKPI Hiring Team Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts. NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com. Powered by JazzHR 3vD1dwKUIh