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Niche Medicare Advantage requirement narrows pool, but common Databricks/AWS skills and mid-seniority keep competition medium.
Hands-on Medicare Advantage, HIPAA, and FHIR requirements make cross-industry transfers difficult.
Explicit 7+ years, lead experience, and mandatory Databricks, AWS, and Medicare/FHIR expertise enforce strict shortlisting.
Lead design, implementation, and maintenance of scalable, cloud-native data pipelines on AWS using Databricks for US Healthcare data.
Architect and scale lakehouse structures with Apache Iceberg, enforcing data governance and security via Databricks Unity Catalog and RBAC for PHI.
Oversee end-to-end processing and risk adjustment workflows of Medicare Advantage data while ensuring HIPAA compliance and mentoring junior engineers.
7+ years data engineering experience with at least 2 years in a technical lead role.
Hands-on experience processing Medicare Advantage data and US Healthcare data domain expertise.
Proven experience with AWS (S3, EMR, Lambda, IAM, Glue) and Databricks platforms including Unity Catalog and Apache Iceberg.
Proficiency in Python, PySpark, advanced SQL, and healthcare interoperability standards FHIR and HL7.
Experienced leader in data engineering focused on healthcare, especially Medicare Advantage workflows and risk adjustment.
Technical expertise in cloud-native big data architecture using Databricks on AWS environments with governance and security emphasis.
Skilled in developing complex data pipelines and frameworks for healthcare interoperability and regulatory compliance.