Back
Mid-level generalist Data Engineer with Azure and healthcare focus draws moderate competition.
Healthcare data, HIPAA and FHIR needs raise domain specificity, though core data skills remain transferable.
Explicit 5+ years, mandatory Azure, SQL/T-SQL, and healthcare compliance increase filtering strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and optimize scalable ETL/ELT pipelines for healthcare data ingestion, transformation, and delivery across multiple healthcare data sources.
Develop and maintain complex SQL Server stored procedures and Azure data solutions (Data Factory, Synapse, Data Lake, Databricks) ensuring high performance and compliance with healthcare data governance (HIPAA, PHI).
Lead data onboarding and implementation efforts, partnering with cross-functional teams to deliver client-focused, high-quality, and reliable healthcare data pipelines.
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 and T-SQL with experience in complex stored procedures, query optimization, and SQL Server performance tuning.
Hands-on experience with Azure data services (Data Factory, Synapse, Azure SQL, Blob Storage/Data Lake).
Experienced working within healthcare data ecosystems with knowledge of clinical, claims, pharmacy, and third-party healthcare datasets.
Demonstrates ability to translate complex healthcare data requirements into scalable, efficient, and compliant data solutions using Azure-based platforms.
Proven collaborator capable of leading client data onboarding, troubleshooting pipeline failures, and mentoring junior engineers while managing multiple priorities in a hybrid work environment.