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Mid-level metro Data Engineer with generalist skillset and common seniority increases candidate competition.
Strong healthcare data and HIPAA/PHI requirements make cross-industry transfers difficult.
Explicit 5+ years, healthcare data experience, and Azure/SQL/Databricks requirements make filters strict.
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Design, build, and maintain scalable ETL/ELT pipelines and Azure data solutions for healthcare datasets including claims, EHR/EMR, and pharmacy data.
Optimize SQL Server stored procedures and queries to support large-scale, compliant healthcare data processing pipelines.
Lead client data onboarding and integration, ensuring high data quality, governance, and regulatory compliance (e.g., HIPAA, PHI).
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
5+ years of data engineering experience, preferably in healthcare or regulated data environments.
Strong proficiency with SQL and T-SQL, including complex stored procedures and performance tuning.
Hands-on experience with Azure data services such as Data Factory, Synapse, Data Lake, and Azure SQL.
Experienced in healthcare data ecosystems with knowledge of claims, encounters, provider, and member data models.
Capable of partnering cross-functionally, handling client onboarding, and delivering scalable, reusable healthcare data solutions.
Technical expertise in SQL Server optimization and Azure cloud data platform to support efficient large-scale data workflows.