We're hiring a Senior Data Engineer for our cloud data team in pediatric research. You'll design and maintain production ETL/ELT pipelines and our data lake that turn genomics, clinical, and imaging data into reliable datasets for scientific discovery. Deep hands-on AWS is essential—Glue, Lambda, Step Functions, S3, Lake Formation, Athena—plus advanced Python, strong data modeling/SQL, and IaC (CloudFormation or SAM). You'll build data quality frameworks, lead technical projects, and mentor engineers. Work happens in a HIPAA/NIST 800-171-compliant environment, so experience in regulated settings is a plus. We want 5–7 years in data engineering. Healthcare or research background strongly preferred. Leads the design, development, testing, and maintenance of applications and pipelines supporting informatics and genomics analyses within an interdisciplinary team of developers, scientists, and clinical and research stakeholders. Serves as a technical owner accountable for architecture quality, operability, and continuous improvement.
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Job Type
Full-time
Career Level
Senior