osu

Senior Data Engineer

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At a Glance

Location
Health System Shared Services, United States
Employment
Full time
Experience
4+ years
Posted
2026-03-17

Key Requirements

Required Skills

Data EngineeringETLPythonSQL

Domain Knowledge

  • Engineering
  • Healthcare

Benefits & Perks

Health Insurance

ibution. Affordable health insurance options, including dental, vision and p

Requirements

frequently asked questions

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Current Employees and Students:

If you are currently employed or enrolled as a student at The Ohio State University, please l

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Compensation & Benefits

An array of retirement plan options, each with a generous employer contribution.

Affordable health insurance options, including dental, vision and prescription coverage that begin on day one.

Paid vacation and sick leave, including short and long-term disability and paid parental leave.

Get the most out of the Public Service Loan Forgiveness program.

And much more!

Responsibilities

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.

This position partners closely with clinical and operational leaders, analytics teams, vendors and IT stakeholders to translate business needs into reliable data products. The Senior Data Engineer leads the end-to-end development lifecycle - data ingestion, transformation, modeling, testing, deployment, and monitoring - while championing modern engineering practices (CI/CD, data quality automation, observability, documentation, and governance). Recognized across the organization for expertise in data architecture, engineering standards, and platform modernization.

Lead design and delivery of enterprise-grade data pipelines (ETL/ELT) using

SQL/Python

, supporting high-volume, high-complexity healthcare data.