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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 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 DescriptionCompany Description OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. Job Description Equinox is seeking a Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. This is a full-time role located in our NYC office. RESPONSIBILITIES • Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems, • Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models, • Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure, • Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics, • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data, • Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions, • Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets, • Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt), • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices, • Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process, • Stay current on industry trends and emerging technologies to identify opportunities for innovation and automationQualifications, • 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus), • Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows, • Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets, • Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis, • Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling), • Familiarity with dbt Labs and modern ELT/analytics engineering practices, • Experience working with structured, semi-structured, and unstructured data, • Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust, • Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Job DescriptionAbout SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: SmartAsset's Data Engineering team builds and maintains the scalable, low-latency systems that power data access across the company. Our platform supports real-time and batch data needs for analytics, reporting, and machine learning, serving teams across Marketing, Product, Sales, and Finance. You'll be part of a growing data organization that includes analysts, data scientists, and ML engineers that are at the forefront of AI/ML application for the company. As a Senior Data Engineer, you'll work cross-functionally to evolve our architecture, optimize data latency, and build robust solutions that enable data-driven decisions at scale. About the Job: SmartAsset is looking for a seasoned Senior Data Engineer with 7+ years of hands-on experience to help build and optimize the backbone of our data platform. In this role, you'll design and implement high-impact, cloud-native solutions that improve data reliability, reduce latency, and scale with our growing business. You'll play a key role in enabling data products, real-time analytics, and cross-functional decision-making by delivering clean, well-structured, and accessible data. Responsibilities: Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology. • Develop and manage robust data integrations with external vendors and organizations (including complex API integrations)., • Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions., • Lead and take ownership of assigned technical projects in a fast-paced environment., • Drive continuous improvement in the quality, security, efficiency, and scalability of our data pipelines and infrastructure.Skills/Experience you have:, • Bachelor of Science degree in Computer Science or equivalent practical experience., • 4+ years of dedicated experience building and maintaining complex ETL/ELT pipelines., • 3+ years of Python development experience, specifically building production-grade data APIs using FastAPI or similar frameworks., • Strong expertise in SQL, including advanced query optimization and performance tuning., • Expert-level proficiency in dbt implementation, including managing models, macros, and incremental and dynamic tables., • Extensive hands-on experience with Snowflake, including performance optimization, data recovery using Time Travel, and advanced data modeling techniques., • Practical experience with key AWS data services such as Kinesis, Firehose, Redshift, Spectrum, Elastic MapReduce, and Lambda; and container orchestration services like ECS and EKS for deploying and managing data applications.Skills/Experience preferred:, • Proven experience designing and building near real-time data processing systems., • Experience with data observability tools for proactive monitoring of data quality, lineage, and pipeline health., • Familiarity with modern data orchestration platforms such as Argo or Airflow., • Hands-on experience with the full software development lifecycle (SDLC), including strong CI/CD practices for data pipelines and proficiency with data testing frameworks., • Demonstrated ability to identify and adopt new technologies that improve data quality and reliability., • Deep understanding of the data lifecycle, emphasizing the importance of high-quality data in applications, machine learning, business analytics, and reporting., • Proven track record of mentoring junior team members., • Experience with data ingestion tools like Singer is a plus., • Knowledge of analytics tools such as Tableau, Plotly, and Pandas., • Experience in the financial services industry. Physical Requirements: • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US., • Medical, Dental, Vision - multiple packages available based on your individualized needs, • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available, • Supplemental Short-term and Long-term Disability, • FSA: Medical and Dependant Care, • 401K, • Equity packages for each role, • Time Off: Vacation, Sick and Parental Leave, • EAP (Employee Assistance Program), • Financial Literacy Mentoring Program, • Pet Insurance California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents* $135,500 - $200,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Job Description This is a remote position. Cloud Architect Overview We are seeking a Cloud Architect to design and lead scalable, secure, and high-performing cloud solutions that support AI-driven applications, data platforms, and client-facing systems. This role will be responsible for defining architecture across AWS and Azure, enabling advanced analytics and AI capabilities, and ensuring seamless integration with tools such as Tableau, Power BI, and DealCloud CRM. This is a strategic, hands-on role ideal for someone who can architect, guide, and influence modern cloud environments in a fast-evolving AI-focused organization. Key Responsibilities • Design and implement cloud architecture solutions across AWS and Azure environments, • Define best practices for scalability, performance, security, and cost optimization, • Architect infrastructure to support AI/ML workloads, data pipelines, and analytics platforms, • Lead the design of data platforms, including data lakes, warehouses, and integration layers, • Ensure seamless integration with BI tools (Tableau, Power BI) and CRM platforms such as DealCloud, • Establish cloud governance frameworks, including security, compliance, and access controls, • Collaborate with engineering, data, and DevOps teams to ensure alignment with architectural standards, • Guide implementation of CI/CD pipelines, infrastructure as code (IaC), and automation strategies, • Evaluate and recommend cloud services, tools, and technologies to support business needs, • Provide technical leadership and mentorship to development and engineering teams RequirementsRequired Qualifications • 8+ years of experience in cloud architecture, infrastructure, or solution architecture roles, • Strong hands-on experience with AWS and/or Microsoft Azure, • Experience designing enterprise-scale cloud solutions and distributed systems, • Strong understanding of networking, security, and cloud infrastructure principles, • Experience supporting data platforms, analytics, and ETL/ELT pipelines, • Experience with infrastructure as code (e.g., Terraform, CloudFormation, ARM templates), • Familiarity with CI/CD tools and DevOps practices, • Strategic thinker with strong technical depth, • Ability to balance architecture design with hands-on execution, • Strong collaboration and leadership skills, • Proactive problem-solving mindset, • Comfortable operating in a fast-paced, AI-driven environment

Job Description Hunter Douglas is the world's leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we've defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally. We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What's yours? Position Overview Hunter Douglas is seeking a strategic and analytically strong Manager of Revenue Management to lead global revenue initiatives and strengthen commercial decision-making across markets. This role will shape pricing, margin, and commercial strategy in partnership with global business units, Product, Finance, and Executive Leadership. The ideal candidate operates comfortably at both the strategic level and in the analytical details, bringing a blend of executive presence, technical fluency, and commercial intuition. What you'll do Global Revenue Strategy & Execution • Lead global revenue management programs, refining pricing, margin, and commercial strategies across multiple regions and product categories., • Drive capability development across the organization, guiding local revenue management leads and cross-functional partners, • Support the Commercial Data Analytics program, advancing adoption of global data lake solutions and modern BI tools., • Partner with IT, Data Engineering, and global commercial teams to improve data accessibility, quality, and analytical rigor., • Develop board- and ELT-ready presentations, synthesizing complex analytics into clear strategic narratives., • 4+ years in a scaled organization with demonstrated progression in analytical or growth roles, or 3+ years in consulting, corporate strategy, revenue management, or finance., • Strong analytical and modeling capabilities, with experience in pricing, revenue growth management, or commercial strategy., • Hands-on expertise with Power BI or Tableau and comfort navigating data systems and analytics workflows., • MBA or advanced degree preferred but not required., • Bonus: experience in FP&A, finance, or accounting., • Strategic yet hands-on — able to design frameworks and also dig into data, models, and tools., • Comfortable working with global stakeholders across diverse commercial, product, and operational teams., • Clear communicator with strong executive presence and the ability to influence senior leaders., • Scrappy, adaptable, and energized by building new capabilities in a dynamic environment., • Annual base salary range: $122,000 - $165,000, • Bonus target range: 25% - 35%, • Generous benefits package including medical, dental, vision, life, disability, • A company culture that prioritizes internal development and professional growth, • Enjoy our Flexible Time Off (FTO) program designed to support work–life balance (excludes new hires in Illinois)., • 401(k) plan with a degree of employer matching, • Paid parental leave #LI-VA1 #LI-hybrid By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text "STOP" to any of our texts to unsubscribe. Message & data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, or terms of use

Job Description This is a remote position. Finance Domain QA Lead We are seeking a Finance Domain QA Lead to drive quality assurance and validation efforts for finance-focused applications, data platforms, and AI-driven solutions. This role will combine deep finance domain expertise with modern QA practices to ensure accuracy, compliance, and reliability across systems built on AWS, Azure, Tableau, Power BI, and DealCloud CRM. This individual will serve as the subject matter expert (SME) for financial data validation, ensuring that AI models, reporting outputs, and system integrations align with real-world financial processes and business rules. Key Responsibilities • Lead QA strategy and execution for finance-related applications, data pipelines, and AI-driven solutions, • Act as the finance domain expert, validating outputs across areas such as:, • Financial reporting, • Investment data and portfolio analytics, • Revenue, P&L, and forecasting models, • Validate data accuracy and integrity across ETL/ELT pipelines and reporting tools (Tableau, Power BI), • Ensure alignment between system outputs and financial business rules, calculations, and controls, • Oversee functional, regression, and integration testing across cloud platforms (AWS, Azure), • Validate integrations with DealCloud CRM and other financial data sources, • Define and implement test cases and validation frameworks specific to finance workflows, • Collaborate with data engineers, AI teams, and business stakeholders to ensure financial accuracy in AI models and analytics, • Identify and mitigate risks related to data discrepancies, calculation errors, and compliance gaps, • Support UAT efforts and work closely with business users for validation and sign-off, • Mentor QA team members on finance-specific validation practices RequirementsRequired Qualifications • 7+ years of experience in QA, Testing, or Quality Engineering, with a strong focus on finance-related systems, • Strong domain expertise in finance, such as:, • Investment management, • Financial reporting and analytics, • Revenue cycle, accounting, or portfolio management, • Experience validating financial data, calculations, and reporting outputs, • Strong experience with SQL and data validation techniques, • Experience testing data pipelines, ETL/ELT processes, and data platforms, • Familiarity with cloud environments (AWS and/or Azure), • Experience with BI/reporting tools such as Tableau and Power BI, • Strong attention to detail with a focus on financial accuracy and integrity, • Ability to bridge business (finance) and technical (QA/data) teams, • Analytical mindset with a proactive approach to identifying discrepancies, • Leadership skills with the ability to guide QA efforts and influence stakeholders, • Comfortable working in a fast-paced, AI-driven environment

Job DescriptionJob Title: Lead Cloud Data EngineerLocations: Fort Mill, SC or New York City, NY (Hybrid/Onsite)Type: Full TimeJob SummaryWe are looking for a highly experienced Data Engineer – AWS Tech Lead to design and lead scalable cloud-based data solutions. This role will combine hands-on engineering with leadership responsibilities, guiding a team of data engineers while collaborating with architects, product owners, and business stakeholders. The ideal candidate will have deep expertise in AWS data services, ETL/ELT pipelines, and big data frameworks, with proven experience in leading technical delivery.Key Responsibilities • Lead the design, development, and deployment of large-scale data pipelines and solutions on AWS., • Provide technical leadership and mentorship to a team of data engineers, ensuring best practices in coding, architecture, and performance optimization., • Architect data lake and data warehouse solutions leveraging AWS Glue, Redshift, S3, Athena, EMR, and Lambda., • Drive development of ETL/ELT processes using PySpark, Python, and SQL., • Implement and enforce data governance, quality checks, and security standards across the platform., • Collaborate with business analysts, data scientists, and product teams to translate business requirements into scalable solutions., • Optimize cost and performance of AWS-based data workloads., • Troubleshoot production issues and ensure high availability of data pipelines., • Participate in sprint planning, backlog refinement, and Agile ceremonies as a technical lead.Required Qualifications, • 13+ years of experience in Data Engineering, with at least 4+ years in a technical leadership role., • Strong expertise in AWS data services: Glue, S3, Redshift, Athena, Lambda, Step Functions, EMR., • Proficiency in PySpark, Python, and SQL for large-scale data processing., • Solid experience in data modeling (star, snowflake, dimensional modeling) and data lake/warehouse architectures., • Proven track record in leading and mentoring data engineering teams., • Strong understanding of Agile methodologies and CI/CD practices for data pipelines.Preferred Qualifications, • Experience in BFSI / Wealth Management domain., • AWS Certification (Data Analytics Specialty, Solutions Architect, or Big Data)., • Familiarity with containerization (Docker, Kubernetes) and orchestration frameworks.Education, • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field., • Master’s degree preferred.

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 As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond. What you'll do • Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets, • Design and own data architecture for large-scale projects while managing operational trade-offs, • Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains, • Define and manage Service Level Agreements (SLAs) for all owned data sets, • Implement data security models, ensure privacy compliance, and evolve data governance processes, • Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data, • Maintain production processes by optimizing complex code using advanced algorithmic concepts, • Streamline data artifact development by optimizing pipelines, dashboards, and frameworks, • Mentor team members through actionable feedback to foster collective skill growth, • Maintain flexibility with availability during evening hoursWhat we're looking for, • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, • master's degree is preferred, • 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud, • 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems, • Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt, • Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres, • Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines, • Ability to deliver high standards of code quality, system reliability, and performance, • Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments, • Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNSWhile not required, these are a plus:, • Experience with Spark and PySpark 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 $160,000.00 USD to $220,000.00 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-CM1 #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 Description This is a remote position. Production Support Engineer We are seeking a Production Support Engineer to support day-to-day operations of AI-driven applications, data platforms, and client-facing systems. This role is responsible for maintaining system stability, monitoring performance, and resolving production issues across environments leveraging AWS, Azure, Tableau, Power BI, and DealCloud CRM. This is a hands-on role ideal for someone with strong troubleshooting skills and experience supporting cloud-based and data-driven applications. Key Responsibilities • Provide L1/L2 production support for applications, data pipelines, and integrations, • Monitor systems and respond to alerts, incidents, and service disruptions, • Troubleshoot issues across cloud environments (AWS, Azure) and escalate when needed, • Support data pipelines (ETL/ELT) and validate data feeding into reporting tools (Tableau, Power BI), • Assist in troubleshooting API integrations and microservices-based systems, • Support CRM integrations (DealCloud) and related workflows, • Document issues, resolutions, and runbooks/SOPs for recurring problems, • Work with engineering and QA teams to ensure smooth deployments and production readiness, • Participate in on-call rotations as needed, • Assist in identifying opportunities for automation and process improvements RequirementsRequired Qualifications • 2–5 years of experience in Production Support, Application Support, or IT Operations, • Experience supporting systems in AWS and/or Azure environments, • Basic understanding of data pipelines and ETL processes, • Strong SQL skills for data validation and troubleshooting, • Familiarity with monitoring tools (e.g., Datadog, Splunk, CloudWatch, Azure Monitor), • Experience with API troubleshooting or integration support, • Familiarity with ticketing systems (e.g., ServiceNow, Jira), • Strong problem-solving and troubleshooting skills, • Ability to prioritize and manage multiple issues, • Detail-oriented with a focus on system reliability, • Collaborative team player, • Eagerness to learn and grow in an AI-focused environment

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 Description This is a remote position. Data Architect – AI & Cloud Data Platforms We are seeking a highly skilled Data Architect to design and lead the development of modern data ecosystems that support AI-driven solutions and client-facing applications. This role will be responsible for building scalable data architectures across cloud platforms, enabling advanced analytics, and supporting machine learning and AI initiatives. The ideal candidate has deep experience with AWS and Azure, strong expertise in data modeling and pipeline design, and a proven ability to integrate data across platforms including BI tools and CRM systems such as DealCloud. Key Responsibilities • Design and implement scalable, cloud-based data architectures across AWS and Azure, • Develop and maintain enterprise data models (conceptual, logical, and physical), • Build and optimize data pipelines (ETL/ELT) to support analytics, reporting, and AI/ML use cases, • Architect solutions that integrate data from multiple sources, including CRM systems (DealCloud) and third-party platforms, • Partner with analytics teams to enable reporting through Tableau and Power BI, • Define and enforce data governance, quality, and security standards, • Design data frameworks to support AI/ML workloads, including feature engineering and model-ready datasets, • Collaborate with application architects and engineers to ensure seamless data integration within applications, • Optimize performance of data warehouses, data lakes, and real-time data processing systems, • Evaluate and recommend tools and technologies to enhance the data ecosystem RequirementsRequired Qualifications • 7+ years of experience in data architecture, data engineering, or related roles, • Strong experience with cloud data platforms (AWS and/or Azure), • Expertise in data modeling, data warehousing, and data lake architecture, • Hands-on experience with ETL/ELT tools and data pipeline design, • Experience supporting BI tools such as Tableau and Power BI, • Strong SQL skills and experience with at least one programming language (Python preferred), • Experience integrating data from CRM platforms (DealCloud or similar), • Ability to translate business needs into scalable data solutions, • Strong collaboration skills across engineering, analytics, and business teams, • Strategic mindset with the ability to design for future AI scalability, • Strong attention to data integrity, performance, and usability

Job Description UNIVERSAL Technologies is seeking a Data Analytics & Reporting Specialist with experience in Power BI and Oracle Analytics Cloud (OAC) for an onsite role in Long Island City, NY to design and deliver scalable analytics solutions that translate business reporting needs into actionable insights. Active LinkedIn preferred. This role focuses on building modern reporting ecosystems using Power BI and Oracle Analytics Cloud, supported by robust data models, integration pipelines, and governance frameworks. ***Hybrid work may be considered after 90 days. ***Must be able to work for UNIVERSAL Technologies directly. WHO WE ARE UNIVERSAL Technologies is a certified Women-Owned Business Enterprise (M/WBE) specializing in IT consulting and professional services. We provide experienced technology professionals to government agencies and private-sector clients, delivering cost-effective solutions that drive innovation and operational excellence. WHAT WE OFFER • Competitive pay, • Health/Dental Insurance, • Group Life Insurance, • 401K, • HSA/FSA, • Pre-Tax Transportation Program, • Generous Paid Time Off/Holiday Policy MANDATORY SKILLS/EXPERIENCE • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field (or equivalent experience), • Minimum eight (8) years of experience building analytics and reporting solutions, including data modeling, transformations, and dashboard/report development, • Hands-on expertise developing interactive dashboards and visualizations using Power BI and Oracle Analytics Cloud (OAC), • Strong experience building and maintaining semantic layers (Power BI and OAC), datasets, dataflows, and reusable KPI definitions, • Advanced proficiency in DAX and Power Query (M), including experience with gateway/on-premises data connectivity, • Strong SQL skills with experience in Oracle (including PL/SQL, stored procedures) and SQL Server, • Experience designing and implementing ETL/ELT data integration processes with a focus on data quality, validation, and performance, • Strong data modeling expertise, including dimensional modeling, star and snowflake schemas, and development of scalable reporting models, • Experience building and maintaining automated, scalable data pipelines and integrations, • Knowledge of data governance practices including metadata management, lineage documentation, schema evolution, and KPI standardization, • Experience with Oracle Analytics Cloud features including data visualization, semantic modeling, and security configuration; familiarity with OTBI/FAW is a plus, • Working knowledge of Azure data services and Oracle/OCI ecosystem, • Experience with DevOps practices including Git-based version control and CI/CD pipelines (Azure DevOps and/or GitLab), • Proven ability to lead discovery sessions, gather requirements, and translate business needs into technical solutions, • Strong interpersonal and communication skills with the ability to bridge business and technical teams, • Demonstrated analytical, troubleshooting, and performance optimization skills SCOPE OF SERVICES • Partner with business stakeholders to define reporting needs, success criteria, and translate requirements into dashboards, reports, and metrics, • Serve as a subject matter expert for data analytics, ensuring solutions align with business objectives and user needs, • Analyze existing databases and data warehouses to identify and integrate relevant data sources for reporting, • Design, develop, and maintain Power BI and Oracle Analytics Cloud dashboards, including drilldowns, filters, and KPI scorecards, • Develop and optimize semantic models and curated datasets to enable self-service analytics, • Build and manage automated, scalable data pipelines and integrations with appropriate validation and documentation, • Ensure governance and reliability across reporting platforms, including metadata consistency, lineage tracking, and access controls, • Monitor and optimize query and report performance; troubleshoot data issues across the full data lifecycle, • Implement repeatable deployment processes using Git and CI/CD practices, • Create documentation and user guides to support data understanding and adoption across business teams, • Own deliverables end-to-end, including communication of status, risks, and timelines UNIVERSAL Technologies is an equal opportunity employer.

Job Description REV Renewables, an LS Power company, is a leading developer, owner, and operator of renewable energy and energy storage projects across North America. With over 2.9 GW of operating assets and a robust development pipeline—REV is at the forefront of the clean energy transition. Our mission is to deliver affordable, reliable, and clean electric power to all. Through a commitment to innovation, REV continuously adapts to the evolving regulatory, environmental, and market landscape to deliver optimized energy solutions. Learn more at . Job Summary: The Head of Strategy & Government Affairs leads our integrated corporate strategy agenda and external policy posture—connecting market intelligence, financial analysis, and regulatory/policy priorities to identify investment opportunities and mitigate risks across the company. This is a highly dynamic role, requiring an ability to move quickly in fast-moving and uncertain situations. This will be a high-visibility role with regular exposure and interaction with the ELT and CEO. This individual must be able to assess complex topics thoroughly, but also quickly synthesize and communicate conclusions to assist in decision making. We are seeking a candidate who has strong power market and regulatory/policy experience as well as proven leadership and communication skills. Duties/Responsibilities: • Develop, refine, and operationalize a multi-year corporate strategy, working dynamically with the ELT to identify and assess investment opportunities, test with external stakeholders, and deploy within the company., • Analyze and translate market trends into insights that assist in company decision-making., • Maintain and continue to expand REV’s power market models with a focus on competitive U.S. power markets., • Own the company’s policy plan and advocacy agenda across federal and state arenas; proactively shape legislative/regulatory outcomes that impact development, operations, supply chain, financing, etc., • Oversee the company’s engagement with legislators, executive agencies, public utility commissions, and ISO/RTOs (e.g., FERC, PJM, CAISO, MISO) to influence rulemakings, dockets, and market design., • Manage the Strategy and Government Affairs teams in day-to-day operations, including responding to ad-hoc needs across the company in a dynamic and flexible way., • Develop all investor & Board level communications with the ELT., • Bachelor’s degree required. Advanced degree preferred., • 5+ years in power or energy markets with a proven impact in the renewables/utility sector., • Mastery of financial modeling especially as it relates to power generation assets., • Mastery of power market analysis, with a strong understanding of U.S. competitive power markets., • Strategic thinker with strong analytical capabilities, power market knowledge, and executive communication skills., • Strong negotiation, presentation, and stakeholder management skills., • Must be able to sit/stand at a desk, using a computer workstation., • The employee is occasionally required to climb, balance, stoop, kneel, crouch, reach with hands and arms, walk; lift push or pull objects up to 20 pounds., • Must be able to handle long periods of screen time and typing. At REV Renewables, we’re not just transforming the energy landscape—we’re building a workplace where people thrive. Our mission is to accelerate the decarbonization of the electricity supply while ensuring affordability, reliability, and resilience. We do this by empowering our team with purpose, support, and opportunity. Our Core Values • Integrity First – We uphold the highest ethical standards in everything we do., • Teamwork – We foster a collaborative, inclusive, and fun work culture., • Ownership Mindset – We take accountability and act in the long-term interest of our stakeholders., • Thought Leadership – We are creative, purposeful, and diligent in our decision-making. REV is proud to provide a comprehensive and competitive benefits package designed to support employees’ well-being and long-term success. Below are just a few examples: • Employer-sponsored Medical, Dental, and Vision coverage for employees and their eligible dependents., • Health Reimbursement Arrangement (HRA) and Flexible Spending Accounts (FSA)., • Company-paid Life, AD&D, and Long-Term Disability Insurance., • 401(k) with employer contributions., • Generous Time Away policies. REV Renewables is proud to be an Equal Employment Opportunity Employer. We are committed to fostering a workplace rooted in mutual respect, where all applicants and employees are valued and supported. Employment decisions are made without regard to race, color, religion, sex, pregnancy, national origin, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. Disclaimer to Agencies: Please be advised we do not accept third-party resumes unless previously agreed to by Human Resources and the Agency.

Job DescriptionCompany Description Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone. Energetic, solution-driven experts who focus as much on people as on performance and growth. Hand in hand, we share a deep desire to make a positive impact. We are an ambitious firm with a worldwide reach and an ever-expanding portfolio of clients, topics, and projects. In North America, Wavestone operates from hubs in New York City, Pittsburgh, Dallas and Toronto. We work closely with CEOs and technology leaders to optimize IT strategy, sourcing models, and business processes and are committed to building lasting partnerships with our clients. Are you a true team player, living strong values? Are you a passionate learner, aiming to grow every day? Are you a driven go-getter, tackling challenges head-on? Then we could be the right fit for you. Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions – contributing to one or more of our core 4 capabilities: Business Consulting | Business Strategy & Transformation, Organizational Effectiveness & Change Management, Operating Model Design & Agility, Program Leadership & Project Management, Marketing, Innovation, & Customer Experience Technology Consulting | IT Strategy & CTO Advisory, Technology Delivery, Data & Artificial Intelligence, Software & Application: Development & Integration, SAP Consulting, Insurance/Reinsurance Cybersecurity | Cyber Transformation Remediation, Cyber Defense & Recovery, Digital Identity, Audit & Incident Response, Product & Industrial Cybersecurity Sourcing & Service Optimization | Global Services Strategy, IT & Business Process Services Outsourcing, Global In-House Center Support, Services Optimization, Sourcing Program Management Read more at . Job Description As a Data & Strategy Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams. In this role you would be leading or supporting high-impact data transformation, data modernization and data initiatives to accelerate and enable AI solutions, bridging business strategy and technical execution. You will architect and deliver robust, scalable data solutions, while mentoring teams and helping to shape the firm’s data consulting offerings and skills. This role requires a unique blend of strategic vision, technical depth, and consulting leadership. Key Responsibilities • Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation., • Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value., • Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake, Databricks, etc.)., • Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations., • Translate business objectives into actionable technical road maps, balancing innovation, scalability, and operational excellence., • Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance., • Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings., • Strategic Data Leadership: Proven ability to set and execute data strategy, governance, and architecture at the enterprise level., • Advanced Data Engineering: Deep hands-on experience designing, building, and optimizing data pipelines and architectures (Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, etc.)., • Designing Data Models: Experience creating conceptual, logical, and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization, dimensional typing, data vault methodology, partitioning/embedding strategies, etc.) to meet solution requirements., • Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure, AWS, GCP, Snowflake)., • Data Governance & Quality: Mastery of data management, MDM, data quality, and regulatory compliance (e.g., IFRS17, GDPR)., • Analytics & AI Enablement: Experience enabling advanced analytics, BI, and AI/ML initiatives in complex environments., • Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level., • Project & Team Leadership: Demonstrated success managing project delivery, budgets, and cross-functional teams in a consulting context. As a part of the Wavestone team, you will be constantly engaged with projects and opportunities that will develop your skills and advance your career. Wavestone hires the brightest, creative, and most dedicated candidates, developing them into confident and knowledgeable leaders and business experts. Our collaborative culture ensures that—from Day 1—you become an integral member of the Wavestone team. Qualifications • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience., • 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role., • Demonstrated success in client-facing roles, ideally within a consulting or professional services environment., • Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow)., • Experience with cloud data platforms (Azure, AWS, GCP, Snowflake)., • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus., • Exceptional problem-solving, analytical, and communication skills., • Industry exposure: Deep experience in Insurance, Pharma, or Financial Services Additional Information Our commitment: Wavestone’s Positive Way At Wavestone, we believe our employees are our greatest ambassadors. By embodying our shared values, vision, mission, and corporate brand, you'll become a powerful force for positive change. We are united by a shared commitment to making a positive impact, no matter where we are. This is better defined by our value base, "The Positive Way," which serves as the glue that binds us together: • Energetic - A positive attitude gives energy to lead projects to success. While we may not control the circumstances, we can always choose how we respond to them., • Responsible - We act with integrity and take ownership of our decisions and actions, considering their impact around us. Benefits • 25 PTO / 6 Federal Holidays / 4 Floating Holidays, • 4 months parental leave to birthing parent / 2 months to supporting parent, • Medical / Dental / Vision coverage, • 401K Savings Plan with Company Match, • HSA/FSA, • Up to 4% bonus based on personal and company performance with room to grow as you progress in your career, • Regular Compensation increases based on performance This full-time position is based in our New York office. You must reside or be willing to relocate within commutable distance to the office. Travel requirements tend to fluctuate depends on your projects and client needs Diversity and Inclusion Wavestone seeks diversity among our team members and is an Equal Opportunity Employer. At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion and Anti-Racism networks. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, you may reach out to us to discuss this. Feel free to visit our Wavestone website and LinkedIn page to see our most trending insights!!

Job Description About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence. Qualification & Skill Set Requirements Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark. Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures. ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer). Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub). Cloud Platform Expertise (Specialization-Specific) Candidates should demonstrate deep expertise in anyone of the following: Snowflake: SnowSQL, Streams, Tasks, Snowpark, and cost optimization. Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization. GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions. Azure: Synapse Analytics, Data Factory, Azure Databricks, and Stream Analytics. AWS: Redshift, S3, Lake Formation, Glue, and Lambda. Professional Practices SDLC & DevOps: Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation). Data Governance: Strong understanding of data quality, lineage, observability, security (RBAC, encryption), and compliance frameworks. Agile: Active experience in Agile/Scrum environments using Jira or Azure Boards. Mentorship: Ability to lead projects and provide technical guidance to junior/mid-level engineers. Responsibilities Architecture: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs. Optimization: Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency. Data Transformation: Lead the development of ETL/ELT processes for both batch and real-time data processing. Collaboration: Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions. Governance & Quality: Promote and enforce best practices in data governance, security, and data quality frameworks. Mentorship: Provide technical leadership and mentorship to the team, ensuring architecture quality and best practices. Documentation: Maintain comprehensive documentation of data architectures, configurations, and workflows. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. RdEDRGP9Ti

Job Description This is a remote position. AWS Specialist Overview We are seeking an AWS Specialist to design, implement, and support cloud-based solutions that power AI-driven applications, data platforms, and client-facing systems. This role will focus on building and optimizing solutions within Amazon Web Services (AWS) while supporting integrations with Azure, Tableau, Power BI, and DealCloud CRM. This is a hands-on technical role ideal for someone with deep AWS experience and a strong understanding of cloud infrastructure, data platforms, and modern application architectures. Key Responsibilities • Design, deploy, and manage AWS-based infrastructure and services, • Build and support environments for AI/ML workloads, data pipelines, and analytics platforms, • Implement and maintain scalable, secure, and highly available cloud solutions, • Support integration between AWS services and external systems including:, • Azure environments, • BI tools (Tableau, Power BI), • CRM platforms (DealCloud), • Develop and maintain infrastructure as code (IaC) using tools such as Terraform or CloudFormation, • Monitor system performance and optimize for cost, scalability, and reliability, • Implement security best practices, including IAM, encryption, and network controls, • Support CI/CD pipelines and DevOps processes for deployment automation, • Troubleshoot and resolve issues across cloud infrastructure and applications, • Collaborate with engineering, data, and architecture teams to ensure alignment with best practices RequirementsRequired Qualifications • 4–7 years of experience working with AWS cloud services, • Strong hands-on experience with core AWS services such as:, • EC2, S3, RDS, • Lambda, API Gateway, • VPC, IAM, • Experience supporting data platforms, ETL/ELT pipelines, or analytics workloads, • Experience with infrastructure as code (Terraform, CloudFormation, or similar), • Familiarity with CI/CD tools and DevOps practices, • Strong understanding of cloud networking, security, and architecture principles, • Strong technical problem-solving skills, • Ability to work independently and as part of a team, • Proactive mindset focused on optimization and improvement, • Adaptability in a fast-paced, AI-driven environment, • Strong collaboration across engineering and data teams

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 The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. 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 • Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake., • Own and guide the development of our data infrastructure., • Orchestrate complex data workflows using Dagster., • Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work., • Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods., • Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience, • 7+ years experience in engineering, with at least 5 years of experience in a data engineering role, • Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries, • High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations, • Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus, • Experience with data exploration, profiling, governance, visualization, and activation, • Proven ability to thrive in an ambiguous and rapidly changing environment, • Experience working with sensitive data in a regulated environment, • Expertise in healthcare and/or revenue cycle management is a plus, • You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 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 DescriptionCompany Description OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. Job Description The Director, PMO to CPO is the strategic engine and operational integrator of the People Function. Acting as the CPO’s right hand, this leader drives clarity, alignment, and disciplined execution across all People & Culture (P&C) teams. This role serves as the central orchestrator of the People strategy—ensuring priorities are sequenced, progress is tracked, communication flows, and the organization stays two steps ahead of what the business and CPO need. This role will manage a portfolio of enterprise-wide initiatives, such as: • Aligning business and People strategies, including culture, engagement, DEI, and Employee Resource Groups (ERG’s) programming, • Standing up comprehensive listening programs (engagement, pulse, exit) and translating insights into action, • Building dashboards and people analytics that surface trends (attrition, diversity outcomes, organizational health), • Creating toolkits, policies, and resources that drive consistency and scale across the People Function Responsibilities: Strategic Planning & People Function Management • Partner with the CPO to develop and drive the People strategy, annual roadmap, and enterprise priorities., • Own and run the People Function operating system (rhythms, cadences, calendars, reviews)., • Manage the integrated P&C program calendar: key milestones, deliverables, communications, and leadership touchpoints., • Develop KPIs and dashboards to track progress, elevate risks, and maintain alignment., • Lead the People PMO—prioritizing, sequencing, and managing all major initiatives across P&C., • Coordinate cross-functional workstreams to ensure outcomes, timelines, and quality standards are met., • Anticipate organizational needs, design project systems, and create operating frameworks that bring structure and predictability., • Proactively identify obstacles and provide solutions, escalating when appropriate., • In partnership w/ the HRIS team, build actionable dashboards that help diagnose issues (attrition, engagement, diversity, experience trends)., • Translate data from listening programs and talent processes into executive-level recommendations and action plans., • Prepare Board, ELT, Operating Review, and Executive Committee materials., • Design and operationalize the full listening strategy (engagement, pulse, exit, topic surveys)., • Ensure insights are analyzed, translated, and tied directly to P&C and leader-driven action plans., • Partner with ERGs, DEI, Talent, and business leaders to strengthen belonging and connection., • Lead change management for new HR programs, systems, and enterprise people initiatives., • Help create communication plans, readiness plans, and implementation of toolkits., • Manage budgeting and resource tracking for P&C initiatives in partnership with Finance., • Establish consistent project methodologies, documentation, and communication standards., • Continuously enhance processes, workflows, and cross-team operating models., • Partner with Internal Communications to craft executive messaging, presentations, and communication strategies for the CPO., • Own agendas, content, and follow-through for:, • P&C leadership team meetings, • CPO all-hands meetings, • Offsites, planning sessions, business reviews, • Serve as a high-trust advisor who brings judgment, clarity, and structure to decision-making., • Anticipate needs and stay two steps ahead—surfacing issues, synthesizing information, and shaping recommendations., • Influence outcomes and drive alignment across the organization without direct authority. Qualifications, • 5+ years of progressive experience in HR strategy, management consulting, or People-related project/program management, supporting senior executives and enterprise-level transformation., • Strong HR fluency across core disciplines (talent, org effectiveness, culture/change, DEI, analytics, employee experience) with the ability to translate business strategy into People priorities., • Proven PMO/project management leader with a track record of delivering large-scale, cross-functional initiatives on time and with clear outcomes., • Highly organized, disciplined, and detail-oriented — able to bring structure, process, and accountability into complex and ambiguous environments. Self-starter with excellent judgment who requires limited direction and consistently anticipates needs before they arise., • Exceptional collaboration and stakeholder management skills — influencing and aligning cross-functional partners without direct authority., • Strong analytical and problem-solving orientation with the ability to synthesize data into actionable recommendations., • Demonstrated success operating as a strategic thought partner to senior leadership, balancing vision with pragmatic execution., • High integrity, discretion, and ability to manage confidential information with trust and professionalism., • Advanced proficiency in Excel, PowerPoint, project management tools, and People analytics platforms; familiarity with HRIS data structures and reporting strongly preferred. Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Job Description Why Jencap? We are one of the largest wholesale insurance intermediaries in the United States with expertise in wholesale brokerage, binding authority, and program management. The common thread woven throughout our success story is our collaborative and driven team of people. Our teams are empowered and work together to find solutions. We have a passion culture – with teamwork, collaboration and a focus on growing individuals and giving them the tools & development opportunities to have a successful career. Jencap Partners is comprised of our corporate operations and service teams who support our staff in their commitment to achieve greatness and exceed the expectations of our agency partners. The goal of corporate functions is to provide the necessary infrastructure, expertise, and services that enable our business to thrive, while also contributing to the overall success, efficiency, and sustainability of the organization. We act as partners, aligning support strategies to achieve Jencap's broader objectives. Overview: We are seeking motivated and detail-oriented Computer Science undergraduate students for our Summer Internship Program. This program provides hands-on experience working on real-world projects, exposure to modern technologies, and the opportunity to collaborate with experienced engineers, product teams, and business stakeholders. This role offers hands-on experience with Azure Cloud services, Python-based analysis, and applied AI use cases that support Business Intelligence reporting, Dashboard, KIP insights, and automation. Interns will contribute to meaningful initiatives that support application development, system integration, data processing, and automation across our platforms. Key Responsibilities • Assist with building and supporting data pipelines using Azure Data Factory (ADF), • Analyze and validate data within SQL Server data warehouse environments, • Write, test, and optimize SQL queries for analytics and reporting needs, • Support data processing and transformations using Azure Databricks and Python, • Assist with Power BI datasets, reports, and dashboards, • Contribute to AI-enabled analytics such as data pattern analysis, anomaly detection, or predictive insights, • Help automate data analysis tasks using Python scripts and notebooks, • Participate in data quality checks, troubleshooting, and technical documentation, • Support data cleansing and insight using AI/ML Algorithms, • Contribute to documentation, technical specifications, and user guides, • Currently pursuing a Bachelor's degree in Information Systems, Computer Science, Data Analytics, Data Science, or related field, • Understanding of data warehousing concepts (ETL/ELT, fact and dimension tables), • Basic understanding of Python for data analysis or scripting, • Understanding of databases (SQL or NoSQL) preferred, • Understanding of reporting platform - Power BI, KPI Dashboard, • Understand of Data Warehouse concepts, big data and knowledge of Databricks, • Strong problem-solving and analytical skills, • Good communication and teamwork abilities, • Exposure to Azure Data Factory (ADF) and Azure data services, • Experience or coursework involving Databricks, Spark, or notebooks, • Introductory knowledge of AI/ML concepts (trend analysis, forecasting, anomaly detection, or NLP basics), • Hands-on experience with enterprise data warehouse and analytics platforms, • Exposure to AI-enhanced analytics and Python-based data workflows, • Real-world experience supporting business reporting and insights Want the opportunity to build something new? Expand your knowledge and stretch your experience through new and emerging risks? Have your voice heard, your skills properly applied, and to add tangible value to an organization? You're in the right place. Jencap is dynamic, bold, tenacious, and trusted in the industry. Here, you are not just one of the many, you are one of us. We truly are better together. Jencap is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or citizenship status, sexual orientation, gender identity or expression, pregnancy, marital or familial status, disability status, medical condition, genetic information, military or veteran status, political affiliation, or any other characteristic protected by law. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard, as we believe that that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.

Job Description Company Overview Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is Hybrid role (3 days in office /2 days remote) About your Team: The Enterprise Architecture organization is looking for a Data Engineer to join the team and help build the next generation of data infrastructure and AI-enabled workflows. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data lake platforms, and analytics solutions that support enterprise-wide AI initiatives and advanced analytics capabilities. You will partner closely with internal development teams and IT leadership to architect data solutions that meet diverse use-cases across the organization. This role offers the opportunity to work with cutting-edge data technologies, AI knowledge bases, and cloud-native data platforms as we scale our data operations. Your work will focus on delivering robust, well-documented data solutions and establishing best practices for data engineering across the enterprise. What will be your responsibilities within IBKR: · Design, build, and maintain scalable data crawlers and ETL/ELT pipelines to ingest data from various sources including enterprise collaboration tools, web applications, and internal databases · Develop and manage data lake platform infrastructure including S3-based storage, Iceberg tables, AWS Glue data catalog, and cloud data warehouse solutions for analytics workloads · Build and optimize real-time streaming data pipelines using Kafka for event-driven analytics and data processing · Create and maintain data transformation pipelines to clean, curate, and prepare data for analytics and AI/ML applications, supporting multiple data formats including structured, semi-structured, and unstructured data (text, images, audio, video) · Develop Python-based applications for data ingestion, processing, and integration supporting Gen AI RAG workflows and knowledge base systems · Collaborate with internal development teams, data scientists, and stakeholders to understand requirements, architect appropriate data solutions, and create comprehensive technical documentation · Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality · Write clean, maintainable, well-tested code following software engineering and data engineering best practices · Create comprehensive technical documentation for data pipelines, architectures, and platform capabilities What required skill's you need: · 6+ years of hands-on data engineering experience with modern data stack technologies · Strong experience with AWS cloud services, particularly: S3, AWS Glue, Athena, EMR, Lambda · Proficiency in Python for data processing, ETL, and application development · Experience with PySpark on EMR for large-scale data processing · Strong SQL skills for data analysis and transformation · Experience building and maintaining ETL/ELT pipelines at scale · Experience with Kafka for streaming data pipelines and real-time data processing · Knowledge of data lake architectures and modern table formats (e.g., Iceberg) · Experience with CI/CD practices using Git, version control systems, and containerization (Docker) · Understanding of data modeling, data warehousing concepts, and analytics best practices · Exceptional problem-solving and analytical skills · Excellent collaboration and communication (verbal and written) skills · Self-motivated with ability to work independently and manage multiple priorities · Willingness and enthusiasm to learn AI/ML technologies, stay current with emerging data engineering trends To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills.Company Benefits & Perks, • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups The anticipated base salary range for this role is $150,000 to $200,000 per year, based on skills, experience, and location. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and a stock award, as well as a wide range of benefits, including healthcare, tuition reimbursement, and more.

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description Versant Media’s Data Platforms team is the central data store across the enterprise. We unify disparate systems into a secure, well-governed, real-time data environment that powers downstream products, analytics, and content delivery experiences. We are seeking a Director, Platform Development to lead the design, buildout, and evolution of our modern data platform. This is a hands-on leadership role for someone who is equally comfortable writing production code, setting architectural direction, and managing a small but growing team. In the near term, this role will be a key individual contributor responsible for building foundational platform capabilities. Over time, the focus will shift toward people leadership, planning, and execution management as the team scales. This role reports to the VP of Data Platforms and is expected to act as a technical and operational anchor for the organization. Responsibilities • Lead the design and implementation of core backend services and data platform components using Node.js and TypeScript, • Establish and evolve platform architecture, design patterns, and engineering standards, • Own and triage intake requests, balancing short-term delivery with long-term platform health, • Partner closely with governance, analytics, and downstream consumers to ensure the platform supports:, • Scalable data ingestion and access patterns, • Lakehouse-style architectures, • ELT pipelines, • Metadata, lineage, and governance requirements, • Build and maintain CI/CD pipelines that enable safe, repeatable, and observable deployments, • Set expectations and best practices around:, • Object-oriented design and proven design patterns, • Test-driven development (TDD) and strong automated test coverage, • Secure development lifecycle (SDL) principles, • Hire, mentor, and manage engineers as the team grows, • Conduct code and design reviews, providing clear technical guidance, • Collaborate effectively in a matrixed enterprise environment with both legacy systems and modern platforms, • Gradually transition from primary IC to people and execution leadership as the platform maturesQualifications, • Deep foundation in software engineering fundamentals, including:, • Object-oriented programming, • Design patterns, • API and service design, • Solid understanding of data engineering concepts, including:, • Lakehouse architectures, • ELT pipelines, • Data governance, metadata, and lineage, • Experience building modular or microservice-based systems, • Demonstrated experience leading or mentoring engineers (formal people management experience preferred, but not required), • Strong commitment to code quality, testing, and automation, • Hands-on experience with CI/CD pipelines and modern DevOps practices, • Comfortable operating with a high degree of ownership in a lean, fast-moving environment, • Experience with ML platforms or services (e.g., Databricks, AWS Bedrock), • Familiarity with analytics and BI tools (Tableau, Power BI, or similar), • Experience working in media, streaming, or large-scale enterprise environments We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

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 a Staff Data Scientist, you'll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you. 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 • Partner with Product, Engineering, Design, Clinical, Operations, and Machine Learning teams to turn ambiguous questions into clear analytical recommendations that influence strategy and decision-making., • Build and establish models and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams., • Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company's mission., • Partner closely with Analytics and Data Engineering to define key objectives for the team, design and scale repeatable frameworks, and enable broader self-serve use of existing tools & methods while keeping a high bar when it comes to analytical rigor., • Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking., • Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives., • 7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity., • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders., • Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact, • Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc., • Experience with leveraging LLMs on text to generate insights and amplify existing work., • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)., • Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels., • Bonus: Healthcare Experience, Start-up Experience, • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes, • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $190,000 and $270,000 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 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. 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 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 DescriptionDescription Who We Are: APC is a dynamic, growing international delivery and technology solutions provider. Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.S. businesses build brands abroad, expand their consumer base, increase revenue, and their global reach. Our extensive, reliable worldwide delivery network and proprietary technology empower our brands to succeed. We are committed to expanding our footprint and continuously investing in innovative delivery and technology solutions as we aim to be the leading resource for cross-border solutions. About the Role: Reporting to the Head of Technology, the Data Architect / Lead Data Engineer will own the design, implementation, scalability, and business impact of APC’s data platform supporting a high‑volume, complex logistics operation. This is a hands‑on, senior technical role responsible for shaping how data flows from raw operational systems through trusted analytics and into production‑grade models that drive decision‑making across the business. You will lead the evolution of the data stack end‑to‑end, balancing architectural rigor with real‑world constraints such as imperfect data, operational urgency, and cost efficiency. Partnering closely with engineering, product, operations, finance, and leadership, you will translate complex business questions into durable data solutions that directly impact shipment performance, customer experience, pricing, and profitability. This role is well‑suited for someone who enjoys deep technical ownership, cross‑functional collaboration, and building systems that operate at scale in production environments. About the Candidate:You are a hands‑on, systems‑oriented data leader who enjoys working close to the business and taking ownership of complex, real‑world data challenges. You are comfortable operating at the intersection of architecture, engineering, analytics, and applied data science, and you thrive in environments where data is imperfect, scale is real, and impact is tangible. You bring a strong sense of accountability and technical judgment, with the ability to make thoughtful tradeoffs and move initiatives forward. You communicate clearly with both technical and non‑technical partners, build trust through reliability and transparency, and enjoy mentoring others while setting a high bar for data quality and engineering discipline. Key ResponsibilitiesData Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts.Analytics Engineering & Business Enablement, • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.Applied Data Science & Advanced Analytics, • Develop and product-ionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts., • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust., • Develop and productionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Skills, Knowledge and Expertise • 8+ years of experience in data engineering, analytics engineering, or applied data science roles, with demonstrated ownership of production data systems., • Proven experience designing and operating a scalable data warehouse or analytics platform in a production environment., • Advanced SQL expertise, including query optimization, indexing and partitioning strategies, dimensional modeling, and slowly changing dimensions., • Strong experience building and maintaining data pipelines using modern data tooling and orchestration frameworks., • Proficiency in Python or a similar language for data processing, modeling, and automation., • Experience working with large‑scale, high‑volume operational datasets and managing data quality in real‑world conditions., • Strong systems thinking and the ability to design for reliability, performance, and cost control., • Demonstrated ability to translate business problems into effective technical solutions., • Experience in logistics, e‑commerce, supply chain, fulfillment, or adjacent domains is strongly preferred. Core Competencies Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesManages Complexity: Making sense of complex, high quantity, and sometimes contradictory informationBusiness Insight: Applying knowledge of business goals and the marketplace to advance the organization’s goalsFinancial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions

Job Description Elite is the trusted automation platform for law firm operations across most of the world's largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite's products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com. Position Overview The Vice President of Commercial Growth and Partnerships, reporting to the Chief Product Officer, is responsible for shaping and executing Elite's commercial portfolio growth strategy across pricing, packaging, partnerships, and product line economics. This role ensures that product investments, pricing decisions, and partner strategy that translates into measurable ARR growth, margin expansion, and disciplined execution aligned with the Value Creation Plan (VCP). This role leads the orchestration of portfolio and offering strategy, pricing architecture, ecosystem and partner programs, and cross functional commercial alignment across Product, Go to Market, and Finance. This role is accountable for financial performance of designated product lines in partnership with Product and Finance, while serving as a strategic integrator across teams to ensure commercial decisions are coherent, scalable, and consistently executed across the portfolio. Work Arrangement: Hybrid in NYC HQ Responsibilities P&L Ownership & Commercial Leadership • Drive financial performance of designated product lines, including ARR, retention, margin, and operating efficiency, in partnership with Product and Finance., • Partner with Finance and Product to build product-level P&L models, investment plans, and multi-year financial forecasts., • Own pricing and monetization strategy, including packaging and portfolio mix, and partner with Finance on pricing approvals., • Lead the integrated product portfolio strategy grounded in customer insights, competitive intelligence, and long-term market trends., • Define strategic adjacencies, expansion opportunities, and product-level transitions including cloud migration pathways., • Partner closely with Product Management to translate strategy into clear roadmap priorities and sequencing., • Establish portfolio governance frameworks that guide capital allocation, investment decisions and portfolio performance tracking., • Define and own Elite's global partnership strategy across technology, data, payments, services, and strategic alliance partners., • Design and scale Elite's partner program, including partner tiers, enablement models, incentives, certification, and governance., • Identify and prioritize partnerships that accelerate product innovation, expand market reach, improve customer outcomes, and unlock incremental ARR., • Partner with Product, Technology, Sales, and Marketing to ensure partners are integrated into product roadmaps, GTM motions, and commercial packaging., • Establish commercial and operational models for co-selling, co-marketing, and joint solutions with partners., • Own partner performance metrics, including sourced and influenced revenue, attach rates, pipeline contribution, and partner ROI., • Serve as executive sponsor for strategic partners and alliances, managing senior-level relationships and escalations., • Partner with Product Operations to reinforce rigor, transparency, delivery excellence, and cross-functional coordination., • Implement operating rhythms, KPIs, and reporting structures that improve predictability and execution quality., • Serve as executive sponsor for product-related M&A and strategic partnerships, supporting opportunity assessment, due diligence, synergy modeling, and integration planning., • Build and lead a high performing team over time as the function evolves, intentionally developing future leaders through focused coaching, hands on mentorship, and structured capability building., • Cultivate a culture grounded in strategic rigor, commercial accountability, and deep customer orientation, ensuring decisions drive measurable business impact., • Bachelor's Degree in Business, Finance, Computer Science, Engineering or equivalent experience. MBA or advanced degree preferred., • 12+ years of senior leadership experience in product strategy, corporate strategy, partnerships, or commercial strategy leadership within enterprise SaaS., • Experience with AI technology and commercial strategy., • Experience working in or closely with the legal technology industry in a high-growth SaaS environment is preferred, with familiarity across law firm workflows and enterprise sales cycles., • Demonstrated experience owning or influencing P&L performance, including ARR growth, margin optimization, and product-level financial planning., • Proven success developing and executing portfolio strategy, including investment prioritization, lifecycle management, and multi-year product vision., • Deep expertise in pricing, monetization, and packaging for subscription-based SaaS products., • Demonstrated experience building and scaling strategic partnerships or partner programs, including technology alliances, commercial partnerships, or ecosystem-led growth motions., • Strong background shaping or partnering on go-to-market strategy across Sales, Marketing, and Customer Success., • Strong financial modelling capability and ability to convert insights into strategic recommendations for executive stakeholders., • Demonstrated ability to lead cross-functional initiatives and influence outcomes at the ELT and board levels., • High executive presence with exceptional communication skills, capable of simplifying complex concepts for diverse audiences., • Strong track record leading and developing high-performing teams across strategy, operations, partnerships, or product disciplines., • Comfortable operating in high-growth, transformation, or PE-backed environments with evolving priorities., • Ability to navigate ambiguity, drive clarity, and make data-informed decisions under pressure., • Ability to travel up 25–50% as business needs require., • Role requires the following physical capacity: Sedentary: primarily desk/computer work., • Competitive Compensation Package ($238,000 - $280,000 base salary + variable component), • Comprehensive Healthcare Coverage (Health, Dental, Vision), • Retirement Savings Plan with an Employer Contribution, • Professional Development Opportunities, • Time Off, • Wellness Initiatives, • Employee Assistance Program, • Generous Global Parental Leave, • Calm, free premium subscription Additional Information At Elite Technology, we embrace an employee-centric, flexible work model that empowers you to do your best work in the environment that suits you. However, we also recognize the importance of in-person collaboration for key moments that truly matter. In our flexible remote approach, you have the freedom to choose a workspace within your home country that best fits your needs. Our corporate offices are located in New York City, Los Angeles, Costa Rica, and the Philippines, providing additional options for those who prefer or need a hybrid work environment. Our diverse global team spans the U.S., Canada, U.K., Costa Rica, the Philippines, and Australia. Please note that at this time, we are unable to hire employees located in Quebec or Ontario Provinces, Alaska, Hawaii, Puerto Rico, Louisiana, and Oklahoma. As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. We also provide reasonable accommodation for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. We are not accepting applications submitted through recruiting agencies.

Job Description Job Overview: We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations. Key Responsibilities: • Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirements, • Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems and address any issues or bottlenecks in existing pipelines., • Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards., • Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes., • Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements, • 7-12 years experience on Data Engineering role working with Databricks & Cloud technologies., • Bachelors degree in computer science, Information Technology, or related field., • Strong proficiency in PySpark, Python, SQL., • Strong experience in data modeling, ETL/ELT pipeline development, and automation, • Proficient in working on Azure cloud components Azure Data Factory, Azure Databricks, Azure Data Lake etc., • Experience with data modeling, ETL processes, Delta Lake and data warehousing., • Experience on Delta Live Tables, Autoloader & Unity Catalog., • Preferred - Knowledge of the insurance industry and its data requirements., • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy., • Excellent problem-solving skills and ability to work under tight deadlines., • Hands-on experience with performance tuning of data pipelines and workflows, • Excellent communication and problem-solving skills to work effectively with diverse teams

Job Description About Us: Versana is an industry-backed data and technology company on a mission to transform the syndicated loan market. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan-level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You: Versana is looking for a motivated mid-level Data Platform Engineer to join our team. This role is primarily focused on data engineering, with a secondary responsibility in reporting and dashboard delivery. Your mission is to transform operational (OLTP) data from multiple source systems into clean, analysis-ready (OLAP) datasets using our lakehouse medallion architecture. You will work closely with seasoned technology leaders, and colleagues with diverse experience in a dynamic, agile environment. You’ll mentor team members through code reviews, pairing, documentation, and knowledge-sharing practices. You’ll both share your engineering expertise with colleagues and learn from their deep domain knowledge. You’ll help standardize data transformations and testing, and drive CI/CD practices, all while improving performance, reliability, and observability. Key Responsibilities:Data Engineering (Primary): • Design, implement, and operate ELT pipelines to ingest data into the lakehouse., • Apply Medallion architecture and semantic layering to deliver curated datasets., • Build and maintain durable data lakes sourced from operational systems, including sustainable ingestion, schema evolution, storage formats, partitioning, and performance., • Secure data at rest and in transit by enforcing governance policies, including regular access reviews and auditability., • Establish and enforce standards for data quality, observability/alerting, and lineage; uphold daily/hourly SLAs for critical reports and datasets., • Drive CI/CD for data code reviews, documentation, and environment promotion; mentor and unblock teammates. Reporting & Analytics (Secondary): • Create and maintain tabular models and dataflows; optimize dataset refreshes, query performance, and usability., • Partner with Product to translate requirements into robust models, metrics, and dashboards; collaborate with Application Developers on data contracts and change management for upstream systems.• Support operational monitoring and alerting; ensure timely, trusted reporting for leadership and clients., • Triage and fulfill ad-hoc data requests while improving self-service patterns and documentation.Must Haves:• B.S. or B.A in Computer Science or related field., • 5–7 years in data engineering or analytics engineering., • Strong SQL and practical experience with dbt for transformations and testing., • Hands-on experience with data modeling and performance optimization., • Professional coding experience with both Java and Python., • Experience operating data ware/lake-houses and building semantic layers., • Familiarity with CI/CD (DataOps), version control, and environment promotion., • Data quality, observability, and alerting experience with a focus on SLAs and stakeholder trust., • Experience with external client reporting, embedded analytics, and multi-tenant considerations (modeling, partitioning, access controls)., • Demonstrated ability to mentor or coach in software engineering practices., • Effective communication and requirement gatheringNice to Haves:• Cost/performance tuning across data ware/lake-housing, query engines, BI tools; caching strategies and aggregation design., • Data documentation, lineage, and cataloging practices; strong habits around reproducibility and testing., • Apply report design and visualization best practices (effective layouts, clear metric definitions, consistent interactions, and performant SQL+DAX queries) to deliver executive\u0002ready dashboards.

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We’re hiring a Forward Deployed Engineer to work directly with our customers—bringing technical expertise, problem-solving skills, and a builder’s mindset to every engagement. You’ll own onboarding and implementation for new customers, integrate Stuut with their ERP and workflow systems, and deliver custom solutions that drive measurable results. This is a high-impact role for someone who can write production-quality code, communicate with both executives and engineers, and thrive in the field. You’ll act as the bridge between customer needs and Stuut’s platform, ensuring each deployment delivers real value while helping shape the future of our product. What You’ll Do * Lead Implementations: Manage onboarding from setup through integration and launch for new customers. * Integrate & Automate: Own integrations with platforms like Netsuite, SAP, Salesforce, and other ERPs; write scripts, build automations, and develop custom solutions as needed. * Collaborate Cross-Functionally: Work with Sales and Customer Success to deliver a seamless technical customer journey. * Drive Process Improvements: Identify and fix inefficiencies in our deployment workflows. * Influence the Product: Provide real-world feedback to the product team to help shape the roadmap. * Support Scale: Build technical documentation and internal tools to make customer deployment faster and easier. * Be in the Field: Travel to client sites to meet customers, deploy solutions, and build relationships. You Might Be a Fit If You… * Have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementations Engineer, FDE). * Are fluent in Python and skilled with modern integration technologies (APIs, ETL/ELT, enterprise auth). * Take ownership and have a bias toward building and improving. * Have experience working with sales teams in both pre- and post-sales contexts. * Have worked in startups or high-growth environments. * (Nice to Have) Experience with AI/ML-powered automation, fintech integrations, developer tools, cloud platforms, or containerization. Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $150K - $240K

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 The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization. As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you. Responsibilities • Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance., • Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution., • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage., • Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers., • Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team., • Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable., • Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement., • Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience., • 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role., • Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering., • Strong proficiency in Python, including experience with common data engineering libraries., • Hands-on experience with a modern data stack, • Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly., • Experience working with sensitive data in a regulated environment., • Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus., • Experience working with Analytics Engineering practices, • Previous healthcare technology experience, • Experience leveraging AI tools for developmentBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 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. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. 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 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 The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization. As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you. Responsibilities • Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance., • Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution., • Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage., • Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers., • Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team., • Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable., • Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement., • Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience., • 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role., • Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering., • Strong proficiency in Python, including experience with common data engineering libraries., • Hands-on experience with a modern data stack, • Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly., • Experience working with sensitive data in a regulated environment., • Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus., • Experience working with Analytics Engineering practices, • Previous healthcare technology experience, • Experience leveraging AI tools for developmentBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $150,000 and $220,000 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. 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 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 Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture. What you'll do • Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas, • Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code, • Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices, • Manage and optimize DAGs, including troubleshooting task failures and improving run times, • Implement metadata management, data lineage, and security principles such as least-privilege access, • Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow, • Partner with engineering, data science, and business stakeholders to own project scopes, • Mentor others on data best practices to drive impact through your data vision, • Provide architectural guidance to ensure data is accessible and actionable across the company, • Drive technical excellence within the data engineering and analytics domainWhat we're looking for, • 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake, • 3+ years of experience with dbt, • Owned large-scale data projects that drove significant impact through effective cross-functional partnering, • Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights, • Expert at SQL, window functions, and query optimization for complex data manipulations, • Applied performance best practices, including partitions, sort keys, and incremental modeling, • Designed systems using test-driven approaches to ensure data quality and flow integrity, • Familiarity with ELT processes and tools to prepare and clean data for analysis, • Skill in using tools like dbt to build data transformation pipelines, • Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practicesWhile not required, these are a plus: 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 $130,000.00 USD to $175,000.00 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-CM1 #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 Description Why Epicured? Epicured is on a mission to combat and prevent chronic disease, translating scientific research into high-quality food products and healthcare services nationwide. Our evidence-based approach brings together the best of the clinical, culinary, and technology worlds to help people eat better, feel better, and live better one meal at a time. By joining Epicured’s Technology team, you’ll help power the data infrastructure that supports Medicaid programs, clinical services, life sciences initiatives, and direct-to-consumer operations — enabling better decisions, better outcomes, and scalable growth. Role Overview Epicured is seeking a Data Engineer I to support data ingestion, reporting, and analytics across multiple business lines. Reporting to the SVP of Software Engineering, this role will focus on building and maintaining reliable reporting pipelines, supporting business requests, and managing data from a growing ecosystem of healthcare, operational, and e-commerce systems. This position is ideal for a self-starter with strong SQL skills who is comfortable working with evolving requirements, healthcare-adjacent data, and modern data platforms such as Microsoft Fabric and Power BI. Key Responsibilities * Build, maintain, and support reports across all Epicured business lines using Power BI, exports, and Microsoft Fabric. * Ingest and integrate new data sources, including SQL Server, operational systems, and external data exchanges. * Support reporting and analytics requests across Clinical & Life Sciences, Section 1115 Medicaid Waiver programs, Health Information Exchanges (e.g., Healthix), and Self-Pay e-commerce operations. * Handle HIPAA-sensitive data, ensuring proper governance, access control, and compliance standards are maintained. * Manage Shopify and other e-commerce data requests for Epicured’s Self-Pay division. * Keep reporting environments organized, documented, and operational while prioritizing incoming requests. * Operate and help scale Epicured’s Microsoft Fabric environment, contributing to platform strategy and best practices. * Partner with stakeholders to clarify ambiguous requirements and translate business questions into data solutions. Qualifications * 3+ years of experience in data engineering, analytics, or business intelligence roles. * Strong SQL skills with experience working in relational databases. * Experience with Azure, Microsoft Fabric, Power BI, or similar modern data platforms. * Strong proficiency in Excel / Google Sheets. * Ability to work independently and manage multiple priorities in a fast-growing environment. * Experience working with healthcare or HIPAA-adjacent data, including exposure to health information exchanges. * Familiarity with ETL / ELT pipelines and data modeling best practices. * Experience integrating operational, financial, logistics, and clinical datasets. Preferred Qualifications * Experience with C#. * Python experience is a plus. * Healthcare or life sciences background. * Experience supporting analytics for Medicaid, payer, or regulated environments. Compensation & Benefits * Salary Range: $115,000–$130,000 annually, commensurate with experience * Benefits include: * 401(k) * Health, Dental, and Vision insurance * Unlimited Paid Time Off (PTO) * Opportunity to grow with Epicured’s expanding data and technology organization Equal Employment Opportunity Epicured is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of age, race, creed, color, national origin, religion, gender, sexual orientation, gender identity or expression, disability, veteran status, or any other protected status under federal, state, or local law.

Job DescriptionUS Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We’re a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000’s fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. We are looking for a proactive and detail-driven Analytics Engineer to connect the worlds of data analysis and data engineering. In this role, you will design, develop, and refine data pipelines to transform raw data into meaningful insights that empower marketing, operations, and decision-making teams. If you’re passionate about analytics, automation, and building scalable solutions, we’d love to hear from you.Job Description • Work closely with engineering teams to design and develop data structures that enable deeper analysis., • Demonstrate expertise in the analytics engineering development cycle, including data modeling, version control, documentation, testing, and ensuring codebase best practices., • Build visually compelling, high-performance reporting and dashboards using tools like Tableau, Looker, or similar BI platforms to provide valuable insights from large datasets., • Create and optimize data models and schemas to support self-serve analytics and ensure data integrity., • Collaborate with business stakeholders to influence data-driven decision-making, proactively uncovering meaningful patterns and insights.Qualifications, • 4+ years of professional experience in analytics engineering, data engineering, or data science., • Strong understanding of data architecture, including building scalable pipelines and optimizing storage solutions for analytical workflows (e.g., S3, Redshift, Snowflake, BigQuery).Strong understanding of data engineering principles, including ETL / ELT processes., • Hands-on experience with data orchestration tools (e.g., Airflow) and data modeling frameworks (e.g., dbt)., • Proficiency in Python or a similar scripting language for data processing and analysis., • Strong expertise in SQL, including experience with data modeling and adherence to database design best practices., • Proven ability to create impactful reports and dashboards using business intelligence tools such as Tableau and Looker., • Experienced in a fast-paced, constantly improving, startup environment that focuses on solving problems with iterative technical solutions.Benefits, • Competitive salary, • Flexible working hours, • Supplemental health insurance, • Professional development stipend

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 C funding round brought our total investment to over $170 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 6 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. About the Role: We are seeking an Analytics Engineer to own and execute the vision for our data transformation layer. You will be at the heart of our data platform, which processes hundreds of millions of events daily from a wide array of sources, including transactional databases, API logs, CRMs, payment systems, and marketing platforms. You will join our 100% remote team and work closely with Data Engineers (who manage data ingestion) and Data Scientists and Business Users (who consume your data models). Your primary responsibility will be to use dbt and Trino on our GCP-based, open-source data infrastructure to build robust, scalable data models. These models are critical for stakeholders across the company—from finance and operations to the executive team—and are delivered via BI tools, reports, and reverse ETL systems. What You'll Do: • Own the Transformation Layer: Design, build, and maintain scalable data models using dbt and SQL to support diverse business needs, from monthly financial reporting to near-real-time operational metrics., • Set Technical Standards: Establish and enforce best practices for data modelling, development, testing, and monitoring to ensure data quality, integrity (up to cent-level precision), and discoverability., • Enable Stakeholders: Collaborate directly with finance, operations, customer success, and marketing teams to understand their requirements and deliver reliable data products., • Integrate and Deliver: Create repeatable patterns for integrating our data models with BI tools and reverse ETL processes, enabling consistent metric reporting across the business., • 4+ years of experience in analytics engineering or data engineering with a strong focus on the "T" (transformation) in ELT., • Proven track record of owning data products end-to-end, applying analytics and data engineering best practices to ensure data quality, scalability, and robust data models., • Comfortable working with ambiguity and collaborating with stakeholders to define requirements; able to take ownership with minimal oversight in a fast-paced environment., • Experience proactively identifying and implementing improvements to data warehouse performance and ETL efficiency., • Technical Versatility:, • Expert-level SQL and DBT skills for complex queries and data transformations., • Proficiency in Python for transformations that extend beyond SQL., • Hands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg)., • Proficiency with Semantic Layer modelling (e.g. Cube, dbt Semantic Layer)., • Experience owning CI/CD workflows and establishing team-wide standards for version control and code review (e.g., Git)., • Experience with data ingestion tools (e.g., Airbyte) and orchestration tools (e.g., Airflow)., • Domain experience for brokerage operations or a passion for financial markets and modelling financial datasets.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 DescriptionSalary: At Derevo, we empower companies and people by unlocking the value of our clients data and enhancing the talent of those who transform it. With more than 15 years of experience, we design end-to-end Data & AI solutions: from integration into modern architectures to the implementation of intelligent models in key business processes. We are looking for aGCP Data Architect with more than 10 years of experience transforming complex data ecosystems into strategic business assets. Expert in designing and deploying enterprise-scale Data Warehousing solutions using the Google Cloud Platform (GCP) stack. The key differentiator for this role is the ability to act as a bridge between technology and business, translating KPIs and objectives from business leaders into robust, scalable, and results-oriented architectures. Core Technical Stack Expert / Strong command • Business-to-Tech Translation: Proven experience collaborating directly with C-Level executives and Business Directors to define requirements, manage expectations, and present technology roadmaps. Ability to lead technical discussions and negotiations., • Data Integration & Orchestration: Cloud Dataflow (Apache Beam for ETL/ELT + dbt) and Cloud Composer (Apache Airflow)., • Architecture Design: Design of data pipelines in both streaming and batch, ensuring high availability and minimal latency., • Data Warehousing: Google BigQuery (cost optimization, partitioning, clustering, and data modeling)., • Governance & DevOps: Data Catalog, IAM, CI/CD for data pipelines. Key Professional Competencies: Nice to have • Business Intelligence: Understanding of BI concepts and processes, with exposure to tools such as Tableau or Qlik., • Bilingual Communication: Full fluency in English required, Spanish is a plus. Your benefits with Derevo WELLNESS: We promote personal, professional, and financial well-being. LETS RELEASE YOUR POWER: Opportunities to specialize and grow across different technologies and domains. WE CREATE NEW THINGS Freedom and support to design innovative data solutions. WE GROW TOGETHER Participation in cutting-edge, multinational technology projects with diverse teams. Where will you do it? Hybrid model, working 2 to 3 days per week from our offices in New Jersey (07302). If you meet most of the requirements and are interested in the challenge, apply! Our Talent Acquisition team will contact you. Become a Derevian and develop your superpower

Job Description Create is hiring an Analytics Lead to help build and scale our analytics foundation from the ground up. This will be our first analytics hire, working closely with the Head of Data to design data models, build self-service analytical frameworks, and turn messy questions into clear, trusted insights. This role is ideal for a strong generalist who can do hands-on Analytics Engineering work and partner with the business on measurement, analysis, and decision-making. You’ll have a pivotal role in shaping how analytics works at Create, from dbt models to Omni dashboards to how teams ask and answer questions with data. What You'll Do: Analytics Engineering & Data Modeling • Design and build clean, DRY, & documented dimensional data models using dbt, • Implement best practices around testing, documentation, and model organization, • Build analytics tables, metrics, and dashboards in Omni that enable self-service, • Apply strong data product thinking: design datasets and dashboards that are intuitive, reliable, and reusable, • Partner with stakeholders to define metrics, measurement approaches, and success criteria, • Perform deep-dive analyses to uncover insights and inform decisions, • Translate ambiguous business questions into structured analytical approaches, • Own stakeholder relationships, acting as a trusted analytics partner, • Proactively identify gaps, opportunities, and improvements in our analytics stack, • Teach and enable teammates to better use data, dashboards, and metrics, • 3-6+ years working in analytics, analytics engineering, data engineering, or data science, • Strong experience with data modeling and analytics engineering (dbt experience strongly preferred), • Advanced SQL skills, including query optimization and working with large datasets, • Hands-on experience with at least one modern BI tool (Omni or Looker experience is a big plus), • Working knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, etc.), • Familiarity with the modern ELT/ETL landscape and data tooling, • Strong analytical intuition — you know how to measure things that actually matter, • Comfortable operating with ambiguity and building from a blank slate, • Clear communicator who enjoys teaching and enabling others, • Competitive compensation including salary and equity, • Fully-paid health, dental, and vision insurance, • Downtown Manhattan office (4 days in office), with flexible work setup and 15 days of PTO Why You'll Love Working Here: At Create Wellness, we're building a category-defining wellness brand that helps people feel their best every day. You'll join a small, high-output team where your work will have immediate and visible impact. We move quickly, expect a lot from ourselves and each other, and have fun while doing it.

Job DescriptionAbout SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: The Machine Learning Engineering team designs, builds, and integrates the core platform that unlocks cutting-edge capabilities for financial advisors, including features driven by generative AI. Our engineers are relentlessly evolving this platform, empowering groundbreaking applications and features that truly help financial professionals better connect with their clients and grow their businesses. About the Job: We are seeking a highly motivated and experienced Machine Learning Engineer to join our growing team. In this role, you will be instrumental in crafting and scaling foundational backend systems across predictive systems and generative AI. You will work across the entire software development lifecycle, from architectural design to deployment and ongoing operations, contributing significantly to our core infrastructure and data strategies, and working hand-in-hand with cross-functional partners like LLM Engineers, Product Owners, and Data Scientists to bring our vision to life. Responsibilities: • Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI, • Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams, • Work with OLTP databases, including schema design, migration strategies, and performance optimization, • Integrate SmartAsset services with internal and external APIs, including third-party platforms and existing AWS infrastructure, • Ensure secure ingress and egress of data within our private network environments, • Contribute to the design and implementation of our CI/CD pipelines to ensure continual improvements to our cycle time, • Manage and optimize AWS services, including IAM roles and policies, • Gain a deep understanding of how our Python applications integrate with our Kubernetes (EKS) and future ECS-based infrastructure, • Operate and maintain production applications at scale, ensuring high availability, performance, and reliability, • Design and implement data collection pipelines specifically for Large Language Models (LLMs), • Contributed to shared data architecture and data governance practices to ensure the persistence of structured data suitable for analytics and model training, • Explore, integrate, and tune various LLM-related technologies, such as Retrieval Augmented Generation (RAG) systems, and addressing potential scaling challenges, • Investigate and implement agentic technologies, such as tool calling frameworks (e.g., AutoGen), to enhance LLM capabilities, • Proven experience as a ML Engineer with a strong focus on Python development, • Experience with cloud platforms, specifically AWS, including IAM, EKS/ECS, and other core services, • Experience operating and scaling a production application, • Experience with LLMs, RAG, embedding vector databases, or agentic technologies., • Familiarity with productionizing apps built with prototyping frameworks such as Streamlit or Gradio, • Knowledge of data governance and structured data principles, • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US., • Medical, Dental, Vision - multiple packages available based on your individualized needs, • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available, • Supplemental Short-term and Long-term Disability, • FSA: Medical and Dependant Care, • 401K, • Equity packages for each role, • Time Off: Vacation, Sick and Parental Leave, • EAP (Employee Assistance Program), • Financial Literacy Mentoring Program, • Pet Insurance California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents $137,000 - $180,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

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 The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. 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 • Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake., • Own and guide the development of our data infrastructure., • Orchestrate complex data workflows using Dagster., • Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work., • Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods., • Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience, • 7+ years experience in engineering, with at least 5 years of experience in a data engineering role, • Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries, • High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations, • Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus, • Experience with data exploration, profiling, governance, visualization, and activation, • Proven ability to thrive in an ambiguous and rapidly changing environment, • Experience working with sensitive data in a regulated environment, • Expertise in healthcare and/or revenue cycle management is a plus, • You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 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. 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 Description The Academy of Rome is seeking a COO to join their team. This new hire serves as the principal executive responsible for day-to-day financial management and operations of the institution, ensuring efficient, compliant, and mission-aligned execution of all support functions. The COO is a trusted strategic leader reporting directly to the President & CEO and partners with the Executive Leadership Team. The COO manages strategic execution across financial, operational, and administrative domains and oversees eight direct reports spanning seven departments. This position requires bilingual and cross-cultural fluency, exceptional management skills, and expertise in financial operations and administration. Our client is a residential institute for advanced work in the arts and humanities. Beyond its core academic mission, the Academy also operates as a hotel accommodating approximately 100 people each night, a restaurant serving about 80 people twice daily during the week, a historic property on 11 acres subject to oversight by two landmarks commissions, and one of Rome’s premier venues for events and rentals. The COO will ensure that this multifaceted institution functions as an efficient and strategically managed organization. Success in the role will be defined by improved organizational performance, operational strength and effectiveness, and effective strategic execution. The COO will oversee the daily operations of the Academy, lead and implement institutional change, bring deep business and financial expertise to the senior management team, and serve as both a complement to the President and CEO and a close partner in advancing the Academy’s mission and long-term sustainability. The COO is responsible for the operational and financial management of the Academy, not its intellectual or academic direction. That responsibility remains with the Rome Director. By placing operations in the COO’s portfolio, the Academy frees the Director to focus more fully on shaping the intellectual life of the institution. Key Responsibilities 1. Executive and Organizational Leadership Serve as a key member of the Executive Leadership Team (ELT), which meets regularly to align on strategy, advise the President and CEO, coordinate cross-departmental priorities, and strengthen the Academy’s overall effectiveness. Manage alignment and execution of AAR’s operational systems with its mission, programs, and long-term strategic goals. Lead and establish policy and protocols for high-quality and efficient operations within a culture of collaboration, accountability, and continuous improvement across the organization. Represent the Academy internally at Board meetings, meals with Fellows and visitors, and externally with stakeholders, partners, and counterparts in both Italy and the U.S. 2. Financial Management Serve as the chief financial steward of the Academy, acting as a strategic partner to the President and ELT to ensure the Academy’s short- and long-term financial health, sustainability, and capacity for strategic growth. Manage the Finance function, overseeing budgeting, forecasting, multi-year financial planning, reporting, cash flow management, and audit processes. Oversee the endowment through regular communication with the institution’s outside investment advisors. Ensure compliance with all applicable U.S. and Italian laws and regulations, including maintenance of tax-exempt status in both countries. Bring international experience with U.S. GAAP and other accounting standards, ensuring compliant, transparent financial management across currencies, transactions, and jurisdictions. Advise and liaise with key Board committees—Audit, Compensation, Executive, Finance, Investment, and Plant, Planning & Preservation—providing clear, timely financial analysis, risk assessments, and strategic recommendations. Manage relationships with external auditors, investment advisors, and other financial partners to safeguard assets and optimize returns in line with mission and risk tolerance. 3. General Operations & Compliance Manage daily operations and strategy of Finance, Facilities, Residential Life, Sustainable Food Program, HR, and IT. Ensure compliance with Italian and U.S. laws and regulations governing non-profit organizations. Maintain and update institutional policies, including risk management, insurance, contracting, and legal compliance across both countries. Oversee the Academy’s contractual relationship with Janus S.r.l., the entity leasing Villa Aurelia, to ensure well-managed operations and fiscal accountability. Partner in guiding and executing on institutional planning, including strategic planning, KPIs, and performance tracking. Develop and maintain internal controls to safeguard assets and institutional integrity. 4. Facilities, Residential Life & Campus Management Oversee the high-quality operation and preservation of AAR’s historic campus, including residential facilities, gardens, kitchen/dining services, and common areas. Lead the Residential Life team to ensure the highest standards in housing, dining, and hospitality for Fellows, Residents, Visiting Artists/Scholars, Trustees, and Guests. This includes managing room quality and upkeep, occupancy logistics, dining services, and the operational details that underpin a seamless residential experience, distinct from the programmatic and intellectual dimensions led by the Programs team. Ensure security, health, and safety protocols are observed across campus. Supervise capital improvements, renovations, and routine maintenance within the priorities of strategic planning. In collaboration with the Director, oversee the Sustainable Food Program. Where the Director has primary responsibility for the intersection of food and programming, the COO has primary responsibility for staffing, costs, and materials. 5. Human Resources & Staff Development Lead strategic workforce planning, employee relations, performance management, and staff development across departments. Recruit, develop, and retain high-performing staff across operational and administrative functions; exercise authority in hiring and separation decisions in alignment with institutional policies and culture. Ensure equitable and transparent HR policies, compliant with U.S. and Italian labor law and relevant international best practices. Cultivate an organizational culture that reflects AAR’s values of intellectual courage, excellence without elitism, civic responsibility, Roman roots, collaboration and exchange, and stewardship of the future. Manage payroll, contracts, benefits administration, and legal compliance in collaboration with external service providers. 6. Technology & Systems Manage strategic development of IT infrastructure, including systems support for administration, programs, risk management, and communications. Ensure data security and continuity of operations across platforms (finance, HR, digital archives, library systems). Align digital tools with staff and fellow/resident needs; support innovation in remote and hybrid program delivery. 7. External Engagement & Institutional Stewardship Act as liaison with legal counsel, government offices in both the U.S. and Italy, vendors, and other institutions as needed. Represent AAR’s interests in operational matters with authorities, contractors, and external stakeholders in both geographies. Support special projects and strategic initiatives as delegated by the President. Preferred Qualifications 10+ years of senior operational and finance leadership experience in nonprofit and/or for-profit organizations, ideally with cross-border responsibilities. Strong background in financial management, strategic planning, compliance, and risk management in a multinational context. Fluency in English required; proficiency in Italian strongly preferred. Experience leading and managing cross-functional teams and working across cultures. Demonstrated ability to manage complex budgets, capital projects, and internal systems. Excellent communication and interpersonal skills; tactful, discerning, strategic, consensus-builder, and collaborative.

Job Description [Position] Korean Bilingual Data Architect / Data Analyst [About Our Client] Our Client is seeking an Entry Level Data Architect / Data Engineer / Data Analyst to support data architecture design, data pipeline development, and analytical insights across the organization. This role is open to all majors, with preference for candidates from data-related disciplines. [Job Description] -Design, maintain, and improve data architecture, including data models, structures, and standards -Develop and manage data pipelines, ETL/ELT processes, and data integration workflows -Perform data analysis, reporting, and visualization to support business decision-making -Ensure data quality, consistency, and governance across systems -Collaborate with cross-functional teams to understand data requirements and deliver solutions -Support database management, performance optimization, and documentation -Contribute to improving data processes, automation, and overall data infrastructure Requirements -Open to all majors; preference for data-related disciplines (Data Science, Statistics, Computer Science, etc.) -Understanding of data concepts such as databases, data modeling, ETL, and analytics -Strong analytical and problem-solving skills -Ability to learn data tools, platforms, and technologies quickly -Experience with SQL, Python, BI tools, or data engineering frameworks is a plus -For senior roles: experience in data architecture, pipeline design, or large-scale data systems are highly valued • Must be authorized to work in U.S. Benefits Medical, Vision, Dental, Life 401K Vacation Sick leave

Job Description Overview The Director of Data Management, Engineering, and Business Intelligence is an enterprise-wide technology leader responsible for building a data-driven culture at Garan Apparel. This role ensures that data is accurate, available, secure, and AI-ready, while also delivering exceptional user experiences that empower business teams to make fast, confident decisions. By integrating Microsoft Fabric on Azure, managing Power BI, and collaborating with the Enterprise Architect, development, and security teams, this leader ensures that data is not only delivered but also understood, trusted, and acted upon across all departments. Key Responsibilities: Azure Data Fabric Integration • Lead the design, implementation, and management of Microsoft Fabric on Azure to unify data from e-commerce, B2B, supply chain, finance, and customer service functions, ensuring seamless integration, governance, and scalability., • Utilize One Lake and Azure-native data services for optimized storage, sharing, and analytics across the enterprise., • Orchestrate robust data pipelines and real-time analytics with Fabric Data Factory and Azure Event Hub. Database and Power BI Oversight • Oversee all databases—SQL, NoSQL, cloud data warehouse—ensuring performance, reliability, security, and scalability., • Manage and optimize Power BI architecture, semantic models, and dashboards to support actionable business insights for all departments. Business Intelligence & User Experience Leadership • Design user-centric BI solutions that go beyond technical delivery—focusing on clarity, usability, and actionability for executives, analysts, and operational teams., • Apply UX best practices in BI design: simplify navigation, reduce cognitive load, use intuitive visualizations, and enable interactivity (such as drill-downs, filters, and tooltips)., • Ensure role-based dashboards that deliver relevant insights to different user types—executives, operations, and analytics—with personalized views and natural language search capabilities., • Incorporate data context—benchmarks, trends, and comparisons—so users understand not just what the data says, but why it matters and what to do about it., • Conduct user testing and feedback loops to continuously refine dashboards and reports based on real-world usage and business impact. Collaboration Across Functions • Work closely with the Enterprise Architect to ensure that data flows, integrations, and systems architecture align with long-term enterprise goals and standards., • Partner with the development team to deliver optimized data models, robust schema design, performant queries, and reliable ETL/ELT processes that drive application and analytics performance., • Engage regularly with the security team to enforce data policies, ensure compliance (GDPR, CCPA, etc.), maintain Azure Key Vault integration for secrets management, and monitor for data breaches or vulnerabilities. AI Agent Readiness and Innovation • Build and maintain AI-ready datasets, semantic layers, and feature stores to support future deployment of AI agents for personalized experiences, autonomous decision-making, and process automation., • Evaluate, pilot, and scale AI agent technologies in partnership with the Enterprise Data and AI Architect to drive enterprise innovation and intelligent automation. Third-Party Vendor Management • Manage relationships with external technology vendors to ensure reliability, cost-effectiveness, support, and continuous improvement within Garan’s data ecosystem., • Oversee the onboarding, integration, and performance of all data tools and connectors provided by third parties. Continuous Optimization and Industry Alignment • Proactively monitor system health, data flow, and performance across Azure services, identifying and resolving issues before they impact operations., • Stay current with industry trends, best practices, and use cases—especially in retail data, agent-based AI, and Microsoft Fabric innovation—ensuring Garan’s data strategies remain state-of-the-art. Qualifications • Bachelor’s or master’s degree in computer science, Information Systems, or related field., • 10+ years in enterprise data leadership across retail, apparel, or e-commerce, with hands-on experience in Azure, Microsoft Fabric, Power BI, and data governance., • Proven track record managing databases, optimizing BI environments, and delivering secure, reliable data solutions for large organizations., • Experience collaborating with architects, development, and security teams on complex enterprise projects., • Strong understanding of BI user experience principles, dashboard design, and data storytelling. Desired Skills & Competencies • Deep technical expertise in Azure and Microsoft Fabric, • Leadership in database management, BI, and AI readiness, • Cross-functional collaboration and vendor management, • Strong understanding of data security, governance, and compliance, • Up to date on industry trends and innovation, • Focus on user experience and data-driven actionability Performance Metrics • Data integrity and availability across all departments, • System uptime and query performance, • Power BI adoption and user satisfaction across business units, • Reduction in time-to-action based on data insights, • Successful onboarding and reliability of third-party integrations, • Delivery of AI-ready datasets and agentic AI pilot outcomes, • Security compliance and incident prevention, • Adoption of best practices as informed by industry trends This role is essential for Garan Apparel’s enterprise data transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration—while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence. Salary: $150,000 - 175,000

Job DescriptionAmalgamated Bank seeks a HR Director, SVP that will serve as a key member of the Human Resources and Executive Leadership Team (ELT). This strategic leader is responsible for overseeing the bank’s Human Resources Business Partner (HRBP) teams, ensuring alignment with divisional goals, and leading enterprise-wide Talent Acquisition. The SVP, HR Director will directly support the Banking & Investments and Risk divisions, acting as a trusted advisor and strategic partner to divisional leadership.Key Responsibilities • Strategic HR Leadership: Develop, implement, and execute HR strategies that support the overall business objectives of the bank. Drive organizational effectiveness, workforce planning, and change management initiatives across all divisions., • HR Business Partner Management: Lead and manage a team of strategic HR Business Partners aligned to the bank’s major divisions, ensuring consistency in HR practices, policy implementation, and talent strategies., • Talent Acquisition: Oversee the Talent Acquisition function, ensuring the bank attracts, hires, and retains top talent. Develop and execute recruitment strategies that align with the bank’s mission and goals, as well as future workforce needs., • Divisional HR Support: Act as the primary HR leader supporting the Banking & Investments and Risk divisions, partnering with divisional executives to identify business needs, drive talent management initiatives, and resolve complex employee relations matters., • Executive Collaboration: Advise and influence executive leadership on organizational design, succession planning, performance management, and employee engagement., • Compliance and Best Practices: Ensure HR programs and policies are compliant with federal and state regulations. Stay current with industry trends and best practices to maintain a competitive edge in HR management., • Culture and Engagement: Champion the bank’s values and culture by leading initiatives that foster a positive, inclusive, and high-performing workplace.Qualifications, • Bachelor’s degree in Human Resources, Business Administration, or related field required; Master’s degree or HR certifications (SPHR, SHRM-SCP) preferred., • Minimum 12 years of progressive HR experience, including senior leadership roles within large, complex financial institutions., • Demonstrated experience managing HR Business Partners and Talent Acquisition functions., • Proven track record supporting multiple business divisions., • Strong strategic thinking, business acumen, and executive presence., • Excellent communication, interpersonal, and relationship-building skills. Our job titles may span more than one career level. The starting base salary for this role is between $180,000 – $225,000. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas. Hybrid Work Model Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as “remote”. Search Firm Representatives- Please Read Carefully Amalgamated Bank does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for the position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Job Description Data Scientist NYC, NY or Remote Type: Contract About the Role We are seeking an experienced Data Scientist to join our AI Data Science team, with a strong emphasis on modern data engineering and platform-based development. This role focuses on building scalable, production-grade data and machine learning pipelines that power analytics, predictive models, and AI-driven insights across the firm, including work within our Databricks environment. Required Qualifications • § 5+ years of experience in data science, data engineering, applied machine learning, or advanced analytics roles • § Advanced proficiency in Python, with demonstrated experience building production- grade data, ML, or GenAI pipelines • § Hands-on experience working with Generative AI or LLM-based systems, including prompt design, evaluation, and application integration • § Strong grounding in data analysis, statistics, and exploratory analysis • § Experience translating business or domain questions into analytical approaches and communicating insights to non-technical stakeholders • § Strong hands-on experience with Databricks (Spark, notebooks, jobs, Delta Lake) in a production environment • § Solid understanding of data modeling, ETL/ELT patterns, and distributed data processing • § Experience deploying and maintaining machine learning models in production environments • § Excellent communication skills, with the ability to explain complex technical concepts clearly Preferred Skills • § Experience with MLflow, model registries, and experiment tracking • § Familiarity with version control and deployment workflows for data, ML, and GenAI solutions • § Experience with RAG architectures, vector databases, or semantic search • § Familiarity with GenAI evaluation techniques, including human-in-the-loop review • § Knowledge of SQL and data warehousing concepts • § Experience supporting talent analytics, people analytics, executive assessment, or professional services use cases • § Ability to design analyses and narratives appropriate for senior consultant and executive audiences • § Experience working in regulated or enterprise environments with an emphasis on reliability, governance, and trust

Job Description This is a remote position. AI Security Specialist Overview We are seeking an AI Security Specialist to design, implement, and monitor security controls for AI-driven applications, data platforms, and cloud environments. This role will ensure the confidentiality, integrity, and availability of systems operating across AWS, Azure, Tableau, Power BI, and DealCloud CRM integrations, with a specific focus on risks unique to AI/ML systems and data pipelines. This is a hands-on role ideal for someone with a strong background in cloud security and data protection, with growing expertise in securing AI-driven solutions. Key Responsibilities • Design and implement security controls across cloud environments (AWS, Azure) supporting AI and data platforms, • Identify and mitigate risks related to AI/ML systems, including:, • Data poisoning, • Model leakage, • Unauthorized access to models or datasets, • Ensure secure data handling and governance across ETL/ELT pipelines and analytics platforms, • Implement and monitor identity and access management (IAM) policies across systems, • Conduct security assessments, vulnerability scans, and risk analyses, • Support secure integration of systems including BI tools (Tableau, Power BI) and CRM platforms (DealCloud), • Collaborate with engineering, data, and DevOps teams to embed security best practices into system design, • Monitor systems for security threats, anomalies, and incidents, • Support incident response and remediation efforts related to security events, • Ensure compliance with industry standards and regulatory requirements, • Develop and maintain security policies, procedures, and documentation RequirementsRequired Qualifications • 5+ years of experience in Cybersecurity, Cloud Security, or Information Security roles, • Strong experience securing AWS and/or Azure environments, • Knowledge of security frameworks and best practices (e.g., NIST, ISO 27001, CIS), • Experience with identity and access management (IAM) and role-based access controls, • Experience with data security, encryption, and secure data pipelines, • Familiarity with network security, application security, and vulnerability management, • Experience with security tools (e.g., SIEM, endpoint protection, cloud security tools), • Strong security mindset with attention to detail, • Ability to anticipate and mitigate emerging risks in AI environments, • Collaborative approach working with engineering and data teams, • Proactive and adaptable in a rapidly evolving technology landscape, • Strong communication skills for both technical and non-technical audiences

Job DescriptionRole: Technical Project Manager - AWS Location: Fort Mill, SC/New York, NY/Austin, TXExperience: 13+ years Mode: Hybrid (3 days WFO)Duration: Full time About the RoleWe’re looking for a hands-on Technical Lead who lives and breathes AWS data engineering and modern AI. You’ll architect, design, and deliver cutting‑edge data + AI solutions while guiding a sharp team of engineers. If Glue jobs, PySpark magic, serverless wizardry, Python scripts and AI/ML operationalization excite you—you’ll feel right at home. What You’ll Own & Lead: Architecture & Delivery • Drive end‑to‑end architecture for ingestion, transformation, analytics, and AI‑powered data products., • Set the standards, patterns, and roadmaps that shape our data future.Hands-on Engineering, • Build high‑performance ETL/ELT pipelines using AWS Glue, Python, and PySpark., • Craft serverless data services with Lambda, API Gateway & Step Functions., • Tune Athena, optimize S3 layouts, and lead complex data migrations like a pro.AI/ML Enablement, • Bring AI into real products: RAG pipelines, embeddings, inference endpoints, and more., • Partner with Data Scientists & ML Engineers to operationalize models with MLOps best practices.Quality, Security & Reliability, • Champion testing, data quality, observability, and lineage., • Enforce security‑by‑design with IAM, KMS, VPC endpoints, masking, and tokenization.Leadership & Collaboration, • Mentor engineers, lead sprints, and elevate the team’s technical bar., • 13+ years in data engineering/backend engineering, including 4+ years leading technical teams and driving architecture decisions., • Deep, hands‑on expertise across AWS Data services & AI:, • AWS Glue (Jobs, Crawlers, PySpark), Lambda (Python), Athena, S3, Glue Data Catalog § Python for data engineering (PySpark) and service development, • ETL/ELT design patterns, orchestration (Step Functions / Airflow), and dimensional + Lakehouse modeling § Data migration strategies, validation frameworks, and rollback planning, • Data lake architecture: Parquet, partitioning, with familiarity in Iceberg, • IaC with Terraform / AWS CDK and CI/CD pipelines (CodePipeline, GitHub Actions, Azure DevOps), • Hands‑on experience with modern AI technologies and emerging AI tooling

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 Manager, Strategic Operations to serve as the operational hub of the Chief Commercial Officer's office. You are a high-EQ professional who protects the CCO's time and extends their reach across the organization by ensuring people and processes run with absolute precision. As a trusted partner and the single point of contact for executive leadership coordination, you will manage complex governance, administrative operations, and strategic initiatives to ensure the office moves at the speed of our AI-first environment. What you'll do • Own preparation logistics for regular cadence meetings, including developing presentations, pulling materials, and managing agenda inputs, • Support town hall preparation by coordinating slides, timing, and communication logistics, • Coordinate with the VP of Strategic Initiatives and commercial leadership on cross-functional meeting preparation, • Manage distribution lists and communication infrastructure for the Operations and Commercial leadership teams, • Lead the Annual Meeting prep calendar by coordinating calls, materials, and communications across contributing stakeholders, • Represent the CCO's office in weekly company-wide syncs to ensure operations inputs are captured and actioned, • Manage recurring commission audit processes in Salesforce and coordinate with SVP-level leaders on data accuracy, • Lead monthly operational coordination calls to drive readiness among market leads and commercial stakeholders, • Oversee vendor relationships with strategic partners and manage the employee recognition program for the operations team, • Default to AI tools for drafting communications, managing inbox triage, and summarizing meeting outputs to improve office workflowsWhat we're looking for, • 6+ years of experience in a strategic program management, consulting, operations coordination, or similar role, • Exhibit exceptional organizational skills with a strong bias for action and the ability to close loops independently, • Demonstrate high EQ and professional maturity when interacting with C-suite leaders, investors, and external partners, • Navigate ambiguity comfortably and make sound judgment calls without complete information, • Maintain strict discretion with confidential information regarding senior leadership, • Operate with technical proficiency in Google Workspace or Microsoft 365, • Use AI productivity tools such as Claude, ChatGPT, or Gemini to improve executive support workflows, • Identify opportunities to pilot and implement new AI tools to reduce manual overhead, • Act as a reliable point of contact for ELT assistants to ensure the scheduling ecosystem runs smoothly, • Ability to represent the CCO's office independently to ensure governance processes run on timeWhile not required, these are a plus:, • Experience supporting a CCO, COO, or equivalent executive leader, • Familiarity with Salesforce, • Experience in the parking, real estate, or technology industries 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 $120,000.00 USD to $150,000.00 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' 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-CH1 #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.