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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, implementation, and maintenance of scalable data pipelines on AWS using Databricks for US Healthcare Medicare Advantage data.
Architect and manage Apache Iceberg-based lakehouse structures for complex healthcare data ingestion and storage, ensuring adherence to HIPAA and data governance standards using Databricks Unity Catalog.
Oversee Medicare Advantage data processing covering risk adjustment and reporting, and enforce enterprise-level RBAC and row-level security for PHI while mentoring junior engineers.
Minimum Requirements
7+ years data engineering experience with at least 2 years in a technical lead role.
Hands-on experience with US Healthcare Medicare Advantage data, including CMS enrollment, RAPS/EDPS submissions, MMR/MOR, or HCC risk adjustment models.
Production experience building data pipelines in Databricks on AWS (S3, EMR, Lambda, IAM, Glue).
Proven knowledge and experience with FHIR and HL7 interoperability standards, Apache Iceberg, Databricks Unity Catalog, RBAC, and data security for PHI.
Ideal Candidate Profile
Experienced leader capable of architecting and scaling complex cloud-native healthcare data platforms with a focus on Medicare Advantage data compliance.
Technical proficiency in distributed data processing using Python, PySpark, advanced SQL, and mastery of enterprise data governance frameworks.
Strategic operator familiar with healthcare data regulations, interoperability standards, and security protocols ensuring HIPAA compliance within AWS and Databricks environments.