Data Engineer: Fabric Lakehouse Pipelines Specialist

DataJobs

South Burlington (VT)

On-site

USD 59,000 - 90,000

Full time

4 days ago
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Job summary

UVM Health is seeking a data engineer to build reliable data pipelines and integration layers into a unified enterprise data model on Microsoft Fabric. This onsite role in South Burlington, VT focuses on dependable data movement from Epic Clarity/Caboodle into the Fabric lakehouse and emphasizes documentation, testing, and QA within an agile team.

The candidate will develop and maintain pipelines, leverage Azure Data Factory and Databricks, and ensure data accuracy and transparency for

Qualifications

  • 2-4 years of data engineering experience.
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
  • Hands-on with Microsoft Fabric, Azure Data Factory or similar platforms.
  • Strong SQL for data transformation and analysis.
  • Familiarity with Epic Clarity or Caboodle data structures preferred.
  • Experience with agile product delivery preferred.

Responsibilities

  • Develop and maintain data pipelines and integration layers that connect source systems to UVM Health’s unified enterprise data model on Microsoft Fabric.
  • Ensure reliable, accurate, and well-documented movement of data from Epic Clarity/Caboodle and operational systems into the Fabric lakehouse.
  • Work within an agile development methodology and follow team standards for pipeline documentation, testing, and quality assurance.

Skills

SQL
Agile delivery
Epic Clarity
Caboodle
Data pipelines

Education

Bachelor’s degree in CS or related field

Tools

Microsoft Fabric
Azure Data Factory
Databricks

Job description

UVM Health is seeking a data engineer to build reliable data pipelines and integration layers into a unified enterprise data model on Microsoft Fabric. This onsite role in South Burlington, VT focuses on dependable data movement from Epic Clarity/Caboodle into the Fabric lakehouse and emphasizes documentation, testing, and QA within an agile team.

The candidate will develop and maintain pipelines, leverage Azure Data Factory and Databricks, and ensure data accuracy and transparency for

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