Senior Data Engineer

The Ohio State University

Columbus, OH, US
Azure services and databricks
Medallion architecture (bronze/silver/gold)
Dbt (or equivalent)
The Senior Data Engineer serves as a top-level technical contributor and lead for complex data and analytics initiatives that align technology solutions with clinical, operational, and strategic priorities

Job Summary

  • The Senior Data Engineer serves as a top-level technical contributor and lead for complex data and analytics initiatives that align technology solutions with clinical, operational, and strategic priorities.
  • This role designs, builds, and operates secure, scalable data pipelines and curated datasets that power analytics, reporting, and advanced AI/ML use cases supporting patient care, administrative decision-making, and improved outcomes.
  • Our Comprehensive Employee Benefits Include: An array of retirement plan options, each with a generous employer contribution.

Matching Summary

The Senior Data Engineer serves as a top-level technical contributor and lead for complex data and analytics initiatives that align technology solutions with clinical, operational, and strategic priorities.

Skills & Requirements

Must-have

  • Azure services and Databricks
  • medallion architecture (bronze/silver/gold)
  • dbt (or equivalent)
  • CI/CD for data pipelines
  • Git-based workflows
  • data quality and reliability standards

Nice-to-have

  • clinical and operational leaders
  • analytics teams, vendors and IT stakeholders
  • modern engineering practices
  • observability, documentation, and governance

Key Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field (or equivalent practical experience)
  • 4+ years of progressive experience in data engineering, data warehousing, or analytics engineering (healthcare required)
  • Advanced proficiency with SQL and strong experience with Python for data engineering
  • Hands-on experience designing and operating ETL/ELT pipelines and building curated analytics datasets
  • Strong understanding of data modeling, warehousing/lakehouse concepts, and modern data management practices
  • Demonstrated ability to lead large, complex initiatives and deliver outcomes in high-impact environments

Work Rights

Not specified

Tailored Resume

Cover Letter