Analytics Engineer

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.

Responsibilities

• 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

Requirements

• 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

Qualifications

• 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
• Finds energy in creating structure in ambiguous, fast-moving environments, and can synthesize needs from multiple stakeholders into a clear data strategy

Skills

• SQL
• dbt
• BigQuery or comparable cloud data warehouses (Snowflake, Redshift)
• Data orchestration tooling (Paradigm, dbt Cloud, Airflow, or similar)
• Access controls for PHI, HIPAA compliance

Benefits

• Impact: Be at the forefront and contribute to groundbreaking, AI-driven healthcare experiences, directly interface with execs at the world's leading tech & healthcare orgs
• Growth: Significant opportunities for broad ownership and professional development within our rapidly scaling startup
• Compensation: Competitive salary + equity
• Benefits: Comprehensive healthcare, vision + dental, 401K, Unlimited PTO, Parental Leave

Pay

$185K - $210K

Schedule

Hybrid, Boston - hybrid, or East Coast - remote