Data Engineer
Core
Design, build, and scale data foundations and pipelines to power AI agents and support clinical operations for healthcare organizations.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data warehouses, and client integrations for AI-driven care management
Domain
Healthcare technology / AI infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, cloud data platforms (AWS/GCP), data warehouses (Snowflake/Redshift/BigQuery), orchestration (Airflow), transformation (dbt), data modeling, healthcare data standards (FHIR/HL7, EHR APIs)
Preferred skills
Experience with messy clinical/claims data, designing data models for complex workflows
Technologies
Python, SQL, AWS, GCP, Snowflake, Redshift, BigQuery, Airflow, dbt, FHIR, HL7
Responsibilities
Design and maintain scalable data ingestion, transformation, and storage layers; own client integrations and ETL workflows; build and document data models for reporting and automation; ensure accurate data flow to products and AI/ML use cases; implement monitoring and testing for data quality and system uptime
Seniority
Senior, hands-on IC