Sr. Data Engineer

The University of Vermont Health Network

• $110K — $130K *
South Burlington, VT 05403In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, or related field
  • 5+ years of data engineering experience
  • Strong hands-on experience with Microsoft Fabric, Azure, or equivalent cloud data platforms
  • Advanced SQL and PySpark skills
  • Ability to lead technical components of complex data projects
  • Experience in agile product delivery preferred

Responsibilities

  • Design and build enterprise-grade data pipelines and lakehouse architecture
  • Ensure reliable and scalable delivery of high-quality data
  • Integrate data from Epic and operational source systems into unified data model
  • Support downstream analytics for clinical care and quality improvement
  • Serve as a technical lead on complex data integration projects
  • Mentor junior data engineers

Benefits

  • Flexible working schedule
  • Professional development opportunities
  • Collaborative work environment
  • Access to advanced technology and tools
  • Health and wellness programs
Full Job Description
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.
* Ladders Estimates

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