Data Engineer

University of Idaho
Moscow, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 85K

Job location

Remote
Moscow, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Data analysis
Cloud Computing
Cloud Database
Information Engineering
Data Governance
ETL
Data Transformation
Data Vault Modeling
Dimensional Modeling
Distributed Computing Environment
Python
LISTSERV
Power BI
SQL Databases
Enterprise Data Management
Enterprise Software Applications
Data Ingestion
GIT
Data Layers
Data Lake
PySpark
Information Technology
Banner Advertisement
Software Version Control
Data Pipelines
Databricks

Job description

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, + 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)
    • 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)
    • 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

Requirements

  • 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

Benefits & conditions

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.

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