About this role

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

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

Analytics Engineer

Key skills