Sr. Data Engineer

The University of Vermont Health Network

  • South Burlington, VT
  • 4 days ago
  • $47.83–$71.75 Per Hour

Highlights

Job Ref:R0087771 Category:Information Technology Employment Type:Full-Time Health Care Partner:University of Vermont Medical Center Location: 40 IDX Dr, South Burlington, VT 05403 Department:UVMHN Data & Analytics: Data Platform & Engineering Job Type:Regular Primary Shift:Day Hours:- Hours per Week: 40 Weekend Needs:None Pay Rate: $47.83 - $71.75 per hour. This role is responsible for the reliable and scalable delivery of high-quality data from Epic and operational source systems into the unified data model, enabling downstream analytics that supports clinical care, operations, and quality improvement.

Numbers & Facts

LocationSouth Burlington, VT
Salary$47.83–$71.75 Per Hour

Description

Job Details

Job Ref:R0087771 Category:Information Technology Employment Type:Full-Time Health Care Partner:University of Vermont Medical Center Location: 40 IDX Dr, South Burlington, VT 05403 Department:UVMHN Data & Analytics: Data Platform & Engineering Job Type:Regular Primary Shift:Day Hours:- Hours per Week: 40 Weekend Needs:None Pay Rate: $47.83 - $71.75 per hour

Job Summary:

The Sr. Data Engineer, Microsoft Fabric designs and builds enterprise-grade data pipelines and lakehouse architecture within the UVM Health Microsoft Fabric data platform. This role is responsible for the reliable and scalable delivery of high-quality data from Epic and operational source systems into the unified data model, enabling downstream analytics that supports clinical care, operations, and quality improvement. The Sr. Data Engineer serves as a technical lead on complex data integration projects and mentors junior engineers.

Education:

  • Bachelor"s degree in Computer Science, Data Engineering, or related field required.

Experience:

  • 5+ years of data engineering experience.
  • Strong hands-on experience with Microsoft Fabric, Azure, or equivalent cloud data platforms.
  • Advanced SQL and PySpark skills.
  • Demonstrated ability to lead technical components of complex data projects.
  • Experience working in agile product delivery preferred.

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