Analytics Engineer
Builds and maintains semantic data layer using dbt and SQL in BigQuery for business metrics, dashboards, and reverse ETL. Owns orchestration, compliance (HIPAA), and data quality in healthcare tech environment. Requires 3+ years experience.
Responsibilities
- Own the Semantic Layer: Build and maintain data models that define core business metrics (clinical outcomes, revenue, utilization).
- Orchestrate & Monitor: Run dbt orchestration with alerting, CI/CD pipelines, and data quality testing.
- Build Reverse ETL Pipelines: Feed clean, modeled data back into production systems (population cohorts, marketing intelligence, operational features).
- Own Data Compliance: Implement access controls for PHI data, ensure HIPAA compliance.
Requirements
- 3+ years in analytics engineering, data analytics, or hybrid data role.
- Deep expertise in SQL and dbt.
- Experience with BigQuery or comparable (Snowflake, Redshift).
- Experience in regulated industry (healthcare, fintech, insurance, government) with sensitive data management.
- Experience with data orchestration (dbt Cloud, Airflow, etc.) and reverse ETL.
Who You Are
- Context Engineer: Think in business entities and stakeholder questions.
- dbt + SQL Native: Clean, modular, well-tested transformations.
- Infrastructure-Comfortable: Manage orchestration, environments, reverse ETL.
- Product-Minded: Focus on business outcomes.
- Thrives in Ambiguity: Create structure from evolving needs.
Compensation & Benefits
- Competitive salary and equity.
- Healthcare, vision, dental, 401K, Unlimited PTO, snacks, free lunch.
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