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University of Idaho

Data Engineer

🇺🇸 Hybrid - Moscow, ID 🕑 Full-Time 💰 $85K 💻 Data Science 🗓️ July 18th, 2026
SQL Python ETL

Edtech.com's Summary

University of Idaho is hiring a Data Engineer who will design, develop, and operate the institution's enterprise data platform. This role involves building and maintaining data pipelines, transforming raw data into structured data products using medallion architecture, and supporting the Databricks lakehouse platform by collaborating with various stakeholders for analytics and decision-making.

Highlights
  • Build and maintain data ingestion pipelines from enterprise source systems.
  • Transform raw data into clean, structured data products using medallion architecture principles.
  • Support the Databricks lakehouse platform including Unity Catalog administration and pipeline monitoring.
  • Collaborate with data consumers, analysts, and product managers to define and deliver data products.
  • Document data pipelines, data models, and platform runbooks.
  • Use Databricks, Delta Lake, Python, and SQL in a cloud infrastructure environment.
  • Requires a Bachelor's degree in Computer Science, IT, or related field, or equivalent experience, plus two years of relevant experience.
  • Preferred qualifications include Databricks certification, experience with PySpark, ERP data structures (Banner/Ellucian), cloud platforms, data quality tools like dbt, and Agile development methodologies.
  • Annual salary starting at $85,000 plus DOE, academic year appointment, full-time exempt position.
  • No visa sponsorship available; ability to pass criminal background check required.

Data Engineer Full Description

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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
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.
EEO Statement
The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.
Applicant Documents
Required Documents
  1. Resume/CV
  2. Cover Letter/Letter of Application
  3. List of References

Optional Documents

Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * How did you hear about this employment opportunity?
    • Academic Careers
    • Association of Public and Land Grant Universities (APLU)
    • Chronicle
    • Facebook
    • HigherEd/Academic Impressions
    • Higher Ed Jobs
    • Idaho Department of Labor/Job Service including Job Central or Idaho Works (Idahoworks.gov)
    • Indeed.com
    • Inside Higher Ed
    • LinkedIn
    • Newspaper
    • Other Venue
    • Professional Listservs (Ex: NACUBO, AAAE, ISMC, etc.)
    • University of Idaho Website
    • University of Idaho Daily Register
    • University of Idaho Employee
    • Word of Mouth
    • Militaryjob.com
    • DSPSjobs.com
    • Higher Education Recruitment Consortium (HERC)
  2. * Were you referred to this employment opportunity by a current University of Idaho employee? If so, please provide their name and department.

    (Open Ended Question)

  3. * The University of Idaho has elected not to sponsor new H1-B visas. No visa sponsorship is available for this position. If hired, can you show proof of authorization to work in the United States?
    • Yes
    • No
University of Idaho Human Resources
Moscow, ID 83844-4332
(208) 885-3638
[email protected]

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