Data Engineer

Posting Context Statement

Join the University of Idaho’s Office of Information Technology at the start of a multi-year data modernization initiative. As a Data Engineer, you will design and build ingestion pipelines, develop trusted data products, and help establish the architecture of our lakehouse platform. This is a hands-on role where you will work with stakeholders across data domains, contribute to foundational decisions, and see your work become the data layer powering institutional analytics and AI applications at a public R1 university.

Position Overview

The Data Engineer supports the design, development, and operation of the university’s enterprise data platform. This position is focused on building the data pipelines, transformations and data products that power institutional analytics and decision-making on the lakehouse platform. The Data Engineer will work closely with the Technical Product Manager for Enterprise Data, Data Governance Manager and institutional stakeholders to ingest, transform and serve data across the university’s lakehouse. The position offers meaningful hands-on work with Databricks, Delta Lake, and cloud infrastructure in a collaborative, mission-driven environment.

Duties May Include

• Building and maintaining data ingestion pipelines from enterprise source systems
• Transforming raw data into clean, structured data products using medallion architecture principles
• Supporting the Databricks lakehouse platform including Unity Catalog administration and pipeline monitoring
• Collaborating with data consumers, analysts and product managers to define and deliver data products
• Documenting data pipelines, data models and platform runbooks
• Other duties as assigned

Required Experience

• Two years of experience in data engineering, software development or a closely related technical role
• Demonstrated experience writing Python or SQL to process, transform or analyze data
• Experience building or supporting data pipelines or ETL/ELT workflows in a production environment

Required Education

Bachelor’s degree in Computer Science, Information Technology, Management of Information Systems or a related field; four additional years of experience (for a total of six years) may substitute for a Bachelor’s Degree

Additional Preferred

• Three (3) or more years of experience in data engineering or a closely related technical field
• Databricks Certified Data Engineer Associate or Professional certification
• Bachelor’s degree or higher in a technical field
• Experience with:
  • Cloud-based data lakehouse platforms (Databricks preferred)
  • PySpark or distributed data processing frameworks
  • Data modeling patterns including medallion architecture, dimensional modeling or data vault concepts
  • ERP data structures in student, HR or finance domains (Banner/Ellucian preferred)
  • Cloud platforms
  • Source control and collaborative development workflows (Git, pull request reviews)
  • Data quality frameworks and tooling (e.g., dbt tests or similar)
  • BI platform connectivity and supporting analytical consumers (Power BI or similar)
  • Higher education technology environments and constituent-sensitive data
  • Agile development methodologies and sprint-based delivery

Schedule

Location: Moscow, Off Campus Location - Possible hybrid/remote option

Pay

$85,000.00 annually +DOE

Position Details

FLSA Status: Exempt
Employee Category: Exempt
Type of Appointment: Academic Year
FTE: 1 Full Time