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Mid-level Data Engineer in a metro with generalist Azure/SQL requirements attracts strong applicant competition.
Healthcare compliance (HIPAA/PHI) and FHIR/domain knowledge make skills less transferable across industries.
Explicit 5+ years, healthcare data domain, and mandatory Azure/SQL/T-SQL skills make shortlisting highly strict.
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Design, build, and optimize scalable ETL/ELT data pipelines across clinical, claims, and operational healthcare datasets.
Develop and maintain complex SQL Server stored procedures and Azure-based data solutions ensuring performance and compliance with healthcare standards like HIPAA.
Lead client data onboarding, cross-functional collaboration, data quality assurance, and mentor junior engineers to deliver efficient, reusable healthcare data assets.
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 in SQL/T-SQL, including complex stored procedures and query optimization, plus hands-on experience with Azure data services (Data Factory, Synapse, Data Lake, Databricks).
Work Experience Required: 5+ years in data engineering with healthcare data ecosystems.
Experienced in healthcare data ecosystems with deep domain knowledge of clinical, claims, and operational datasets.
Technically proficient in building and optimizing large-scale data pipelines within Azure cloud environments using SQL and Python.
Capable of leading cross-team collaborations, client onboarding, and implementing compliant, high-quality data solutions in regulated healthcare settings.