University of Idaho

Data Engineer

Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years in data engineering or software development
  • Proficient in Python or SQL for data processing
  • Experience with building data pipelines or ETL/ELT workflows
  • Bachelor's in Computer Science or related field (or equivalent experience)
  • Additional skills in cloud platforms and data modeling are a plus

Responsibilities

  • Build and maintain data ingestion pipelines
  • Transform raw data into structured products using medallion architecture
  • Support the Databricks lakehouse platform and monitoring
  • Collaborate with data consumers to define data products
  • Document data pipelines, models, and platform procedures

Benefits

  • Hybrid/remote work option available
  • Participation in a multi-year data modernization initiative
  • Hands-on experience with cutting-edge technologies like Databricks
  • Opportunity to influence data architecture and analytics at an R1 university
  • Collaboration with diverse stakeholders across various data domains
Full Job Description
Position Details

Position Information

Internal Posting?

Posting Number
SP005375P

Position Title
Data Engineer

Division/College
Information Technology Services

Department
Enterprise Applications

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

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


Unit URL

Join Office of Information Technology (OIT) | University of Idaho

Position Qualifications

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 & Working Conditions
  • None


Degree Requirement
Listed degree qualification is required at time of application

Posting Information

FLSA Status
Exempt

Employee Category
Exempt

Pay Range
$85,000.00 annually +DOE

Type of Appointment
Academic Year

FTE

1

Full Time/Part Time
Full Time

Funding

A visa sponsorship is available for the position listed in this vacancy.
No

Posting Date
07/17/2026

Closing Date

Open Until Filled
Yes

Special Instructions to Applicants

Position will remain open until a qualified pool of applicants is identified. Applications received on or before August 3, 2026, will receive first consideration.

Applicant Resources
https://www.uidaho.edu/human-resources/careers/applicant-resources

Background Check Statement

Applicants who are selected as final possible candidates must be able to pass a criminal background check.

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