Data Engineer, Microsoft Fabric

The University of Vermont Health Network

  • South Burlington, VT
  • 30+ days ago
  • $42.85–$64.28 Per Hour

Highlights

Job Ref:R0087772 Category:Information Technology Employment Type:Full-Time Health Care Partner:University of Vermont Medical Center Location: 40 IDX Dr, South Burlington, VT 05403 Department:UVMH Enterprise Data and Analytics Job Type:Regular Primary Shift:Day Hours:- Hours per Week: 40 Weekend Needs:None Pay Rate: $42.85 - $64.28 per hour. Job Summary: The Data Engineer, Microsoft Fabric develops and maintains data pipelines and integration layers that bring data from source systems into UVM Health"s unified enterprise data model built on Microsoft Fabric.

Numbers & Facts

LocationSouth Burlington, VT
Salary$42.85–$64.28 Per Hour

Description

Job Details

Job Ref:R0087772 Category:Information Technology Employment Type:Full-Time Health Care Partner:University of Vermont Medical Center Location: 40 IDX Dr, South Burlington, VT 05403 Department:UVMH Enterprise Data and Analytics Job Type:Regular Primary Shift:Day Hours:- Hours per Week: 40 Weekend Needs:None Pay Rate: $42.85 - $64.28 per hour

Job Summary:

The Data Engineer, Microsoft Fabric develops and maintains data pipelines and integration layers that bring data from source systems into UVM Health"s unified enterprise data model built on Microsoft Fabric. This role is responsible for the reliable, accurate, and well-documented movement of data from Epic Clarity/Caboodle and operational systems into the Fabric lakehouse environment, working within an agile development methodology and following team standards for pipeline documentation, testing, and quality assurance.

Education:

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

Experience:

  • 2-4 years of data engineering experience.
  • Hands-on experience with Microsoft Fabric, Azure Data Factory, Databricks, or similar platforms.
  • Experience with SQL for data transformation and analysis.
  • Familiarity with Epic Clarity or Caboodle data structures preferred.
  • Experience working in agile product delivery preferred.

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