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Mid-level, generalist Data Engineer role with common skills but healthcare/Azure specificity reduces applicant density.
Healthcare data domain knowledge, HIPAA/PHI handling, and interoperability standards make cross-industry transitions difficult.
Explicit 5+ years plus mandatory Azure, SQL/T-SQL, and healthcare experience enforces strict candidate filters.
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Design, develop, and optimize scalable ETL/ELT data pipelines and SQL Server stored procedures for healthcare data (claims, EHR/EMR, eligibility, pharmacy).
Lead client data onboarding, implementation projects, ensuring data quality, governance, and HIPAA compliance.
Collaborate cross-functionally with Product, DevOps, Analytics teams to deliver high-performing, reusable Azure-based data solutions and troubleshoot data pipeline issues.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
5+ years experience in data engineering, preferably in healthcare or regulated data environments.
Strong proficiency in SQL, T-SQL, and SQL Server performance tuning; hands-on experience with Azure data services (Data Factory, Synapse, Data Lake, SQL, Databricks).
Experience designing and managing ETL/ELT pipelines with deep understanding of healthcare data structures.
Experienced in healthcare data ecosystems with solid knowledge of claims, encounters, and provider data models.
Technically strong in Azure data platforms and complex T-SQL transformations including performance optimization.
Capable of leading client onboarding and cross-team collaboration to deliver scalable, compliant data engineering solutions.