Data Engineer

University of Vermont Medical Center; South Burlington (VT); On-site; USD 90,000 - 130,000; Full time

Job summary

University of Vermont Medical Center is seeking a Data Engineer to build and maintain data pipelines, enabling the unified enterprise data model on Microsoft Fabric. You will ensure reliable movement of data from Epic Clarity/Caboodle into the Fabric lakehouse, following agile practices and delivering well-documented pipelines.

The role requires hands-on experience with Fabric, Azure Data Factory, and Databricks, plus SQL expertise for data transformations and analysis.

Qualifications

• Bachelor's degree in CS, Data Engineering, Information Systems, or related field required.
• 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.

Responsibilities

• Develop and maintain data pipelines and integration layers for Enterprise data model.
• Move data from Epic Clarity/Caboodle and operational systems into the Fabric lakehouse.
• Work within an agile development process with documentation, testing, and QA standards.

Skills

Data Pipelines

Integration layers

SQL

Agile

Documentation

Quality Assurance

Education

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Microsoft Fabric

Azure Data Factory

Databricks

Epic Clarity

Caboodle

Job description

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.