Data Engineer – Healthcare Analytics Platform
Core
Design and develop enterprise Contract Performance Analytics platforms for healthcare systems, integrating clinical, claims, and operational data into scalable analytics ecosystems.
Role type
Senior Data Engineer (Healthcare Analytics)
Builds
Unified data systems, ETL/ELT pipelines, and medallion/lakehouse architectures for value-based care contracts.
Domain
Healthcare / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, ETL/ELT pipeline development, cloud data platforms (AWS/Azure/Databricks), data modeling, CI/CD, data quality monitoring, healthcare data interoperability (FHIR/HL7), relational and distributed database systems
Preferred skills
Epic/Athena experience, Exasol, data visualization tools, microservices architectures, AI/ML-enabled pipelines
Technologies
Python, SQL, Databricks, Azure Data Factory, AWS Glue, Git, Tableau, Power BI, Exasol, Snowflake
Responsibilities
Design and maintain robust ETL/ELT pipelines for diverse healthcare data sources; build and optimize data models for analytics and reporting; implement CI/CD pipelines for data engineering workflows; ensure data quality, integrity, and accuracy through validation and monitoring; support data migration and modernization initiatives; troubleshoot production environments; document data flows and technical solutions.
Seniority
Senior, hands-on IC