Job Opportunities API

ABOUT COUNSEL http://counsel.health/ Counsel’s mission is to multiply the world's healthcare capacity. We believe in a future in which every person has a personalized, AI-enabled doctor always in their pocket. To accomplish this, we’re building the first fully-vertical, AI-native medical group from the ground up. We’ve redesigned the entire clinical stack with custom AI tools that make our in-house physicians 10x faster and smarter. [learn more on our blog https://www.counselhealth.com/blog] Since our founding in 2023, we have formed partnerships with leading healthcare organizations and are on track to serve hundreds of thousands of patients on our platform within the next year. We have raised over $35M from a16z, Google Ventures, Pear VC and other top-tier VC firms. Our team combines deep expertise in medicine (Harvard, Mt. Sinai, Mass General, UCSF) and technology (MIT, Google, DeepMind, NVIDIA, Stripe, Meta) — and we’re looking for exceptional people to join us as we scale. Join us as we build the future of AI in healthcare! ----------------------------------------------------- ABOUT THE ROLE We've built a strong data foundation: a cloud warehouse, ETL pipelines, and event tracking are all in place. Now we need someone to make that data mean something. We're looking for an Analytics Engineer to own the semantic layer, building and maintaining the core data models the rest of the company relies on to turn raw data into insight. You'll be the person everyone trusts to answer "how do we measure this?" You'll be our first dedicated analytics hire, which means you set the standards, choose the patterns, and shape how Counsel uses data for years to come. The infrastructure is built, the warehouse is running, and the company is growing. What's missing is the person who makes the data layer actually work, turning raw tables into the trusted models that power every dashboard, every data product, and every strategic decision. WHAT YOU'LL DO - Build and maintain the data models that define our core business metrics, from clinical outcomes to revenue to utilization, and own the sources of truth the whole company relies on - Run dbt orchestration with integrated alerting, CI/CD pipelines, and data quality testing that catches issues before they reach a dashboard - Stand up reverse ETL pipelines that feed clean, modeled data back into production systems, including population cohort definitions, marketing intelligence, and operational features - Implement and maintain access controls for PHI, keeping the data layer HIPAA-compliant while staying accessible to the people who need it WHAT YOU'LL BRING - 3+ years of experience in analytics engineering, data analytics, or a hybrid data role - Deep expertise in SQL and dbt - Experience with BigQuery or comparable cloud data warehouses (Snowflake, Redshift) - Experience working in a regulated industry (healthcare, fintech, insurance, government) with a proven ability to manage sensitive data and access controls, HIPAA familiarity a plus - Experience with data orchestration tooling (Paradigm, dbt Cloud, Airflow, or similar) and integrating analytics data back into production systems WHO YOU ARE - Thinks in business entities and stakeholder questions, not just tables and joins, and turns fuzzy requirements into clean, well-modeled data - Treats dbt as a primary tool, writing clean, modular, well-tested transformations, with strong opinions about how a dbt project should be organized - Comfortable managing orchestration, environments, and reverse ETL pipelines without hand-holding, even without being a dedicated data engineer - Doesn't just model data, but asks why someone needs it and how it drives a patient or business outcome - Feels energized by creating structure in ambiguous, fast-moving environments, and can synthesize needs from multiple stakeholders into a clear data strategy ROLE LOCATION: NYC - hybrid, Boston - hybrid