Job Description
📋 Description Build and maintain ingestion pipelines for diverse data sources Design dbt models and transformation logic for clean source of truth tables Own pipeline orchestration with Dagster or Airflow Implement data quality monitoring and observability Collaborate with data science to support underwriting and pricing models Own projects end-to-end from scoping to deployment and monitoring 🎯 Requirements 3-5 years in data or backend engineering with pipelines Python and SQL production-grade code Dagster, Airflow, or Prefect experience dbt or equivalent transformation framework Cloud data environments AWS, GCP, or Azure Experience with messy real-world datasets Strong data quality instincts 🎁 Benefits High ownership and responsibility from day one Work on a mission that improves care at scale Fast growth and career opportunities Apply AI to meaningful healthcare problems Collaborative and fast-paced team culture Equity and growth opportunities
