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Metro location and common data-engineer title increase competition despite seniority and niche cloud data skills.
Core data engineering skills are transferable, but healthcare provider data and FHIR familiarity raise domain specificity.
Explicit 8+ years plus mandatory cloud data, Airflow, ETL, Python, SQL, and data modeling make filtering strict.
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Lead design, build, and testing of scalable, reliable cloud data services on AWS involving data movement, transformation, and validation.
Provide subject matter expertise and guidance on ETL/ELT and complex data integration patterns, working closely with engineering teams to ensure high-quality code and delivery.
Coach engineering team in test-driven development, continuous integration, automated deployment, and solve complex technical problems in data engineering.
8+ years of hands-on data engineering experience including ETL (Informatica, Talend, SSIS, Azure Data Factory etc.), SQL, data streaming, and data modeling.
Proficient in Python procedural programming and experience building DAGs in Airflow.
Bachelor's degree in Computer Science or equivalent experience.
Work Experience Required: 8+ years in data engineering.
Experienced technical leader comfortable with hands-on coding and code reviews, driving engineering best practices in cloud data environments.
Familiar with healthcare domain data and standards (HL7 FHIR) is a plus, especially provider data management.
Demonstrates ability to integrate AI tools to enhance team productivity and automated workflows in data engineering.