Senior Data Engineer, Biomedical Data Platform (Hybrid)

Mayo Clinic; Rochester (MN); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Mayo Clinic seeks a Senior Data Engineer for the Research Data Atlas, focusing on building an enterprise research data platform across genomic, clinical, and imaging data domains. You will design scalable data products and pipelines, partner with scientists, and enable secure, governed access to complex datasets.

You will work with Google Cloud Platform tools (BigQuery, Dataflow, Pub/Sub) and emerging AI-assisted development tools to translate research requirements into robust data solutions.

Qualifications

• Experience with genomic/omics data and data governance.
• Strong background in research informatics and data quality.
• Ability to translate scientific needs into scalable data solutions.

Responsibilities

• Design, build, and support scalable data products and pipelines for biomedical research.
• Ingest, transform, harmonize, and integrate datasets across studies.
• Ensure data provenance, metadata management, and secure access for researchers.

Skills

Genomics data

Data pipelines

Data modeling

Cloud data platforms

Tools

BigQuery

Dataflow

Pub/Sub

Cloud Storage

Job description

Mayo Clinic seeks a Senior Data Engineer for the Research Data Atlas, focusing on building an enterprise research data platform across genomic, clinical, and imaging data domains. You will design scalable data products and pipelines, partner with scientists, and enable secure, governed access to complex datasets.

You will work with Google Cloud Platform tools (BigQuery, Dataflow, Pub/Sub) and emerging AI-assisted development tools to translate research requirements into robust data solutions.