Related skills
data warehouse python dbt airflow google cloud platform📋 Description
- Lead data engineering strategy and execution; own the Data Warehouse.
- Collaborate with Product to define and prioritize the tech roadmap.
- Drive data projects across teams: planning, resourcing, delivery.
- Mature data engineering with test-based development and automation.
- Build and mentor a high-performing data engineering team.
- Partner with Product, Clinical, Ops, Finance to enable insights.
🎯 Requirements
- 5+ years in data or software engineering; 2+ yrs in data leadership.
- Hands-on with DBT, Airflow, GCP; scalable pipelines.
- Proven leadership and team-building skills.
- Excellent cross-functional communication.
- HIPAA/regulatory environment experience.
- Strong problem-solving and decision-making.
- Experience building and supporting Data Warehouse.
- Strong drive for automated testing.
🎁 Benefits
- Equity opportunities.
- Remote-friendly culture.
- Collaborative, mission-driven team.
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