Appointment Information
Working Title: Data Engineer
Division/College: 3927-EA ENTERPRISE APPLICATIONS
Department: 655-EA Integration and Development
Location: Moscow
Location Details: Flexible Work Location (On-Campus, Hybrid, or U.S. Remote) available
FTE: 1
Advertising Pay Range: $85,000.00 +DOE
Is this position contingent on work and/or funding: False
FLSA Status: Exempt
Type of Appointment: Full Fiscal Year
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
Required Other:
- None
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
Physical Requirements and Working Conditions:
- None
Posting Information
Open Until Filled: True
Special Instructions to Applicants: Applications received before 11/30/2026 will receive first consideration. Posting will remain open until a pool of qualified applicants is identified.
Visa Sponsorship: No
Degree Requirement Timeline: Degree required at time of hire
Background Check Statement: Applicants who are selected as final possible candidates must be able to pass a criminal background check
EEO Statement: The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.
