Data Engineer

UVM Health - UVM Medical Center; South Burlington (VT); On-site; USD 85,000 - 105,000; Full time

Job summary

UVM Health - UVM Medical Center is seeking a Data Engineer to build and maintain data pipelines and integration layers on the Microsoft Fabric platform. You will move data from Epic Clarity/Caboodle and operational systems into the Fabric lakehouse, ensuring reliable, accurate, and well-documented data flows within an agile team.

The role requires a 2-4 year data engineering background, hands-on Fabric/Azure Data Factory/Databricks experience, and strong SQL skills for transformation and

Qualifications

• Bachelor's degree in Computer Science, 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

• 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.
• 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.

Skills

Microsoft Fabric

Azure Data Factory

Databricks

SQL

Epic Clarity

Caboodle

Agile

Education

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

Tools

Epic Clarity

Caboodle

Job description

Job Summary

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.