Data Engineer - University of Idaho

At a glance

🚀 **Data Engineers: Want to build something from the ground up?** I'm partnering with the **University of Idaho** on an exciting opportunity to join their team as a **Data Engineer**! This isn't just another data engineering role. You'll join at the beginning of a major data modernization initiative, helping build an enterprise data platform that will shape how the university uses data for years to come. 💻 **Modern tech:** Databricks, Python, SQL, Delta Lake & cloud technologies  🏡 **Flexibility:** Hybrid or remote opportunities  💰 **Salary:** $80,000-$90,000, depending on experience  📈 **Growth:** Great opportunity for an early-career Data Engineer looking to make an impact If you enjoy solving problems, building solutions, and having a voice in how things are developed, I'd love to connect! **Interested or know someone who might be?** Send me a message or share this opportunity with your network!

Description: What you'll be doing

Another Source's client, University of Idaho, is recruiting a Data Engineer to join their Office of Information Technology team in Moscow, Idaho. This position offers potential hybrid or remote flexibility, depending on the candidate. 

Here's a little about the University of Idaho: 

The University of Idaho is Idaho's flagship land-grant research university and an R1 institution, recognized for its high level of research activity. With a mission centered on education, discovery, and service, the university plays a vital role in advancing research, supporting student success, and creating opportunities for communities across Idaho and beyond. 

It's an exciting time to join the University of Idaho's Office of Information Technology (OIT). The university is launching a multi-year data modernization initiative that will transform how institutional data is collected, managed, and used. This investment in modern data infrastructure will establish the foundation for more accessible, reliable analytics and emerging AI applications across the institution. 

Learn more about the university's Finance and Administration division: https://www.uidaho.edu/leadership/finance-administration 

About this role: 

Are you a data engineer who enjoys building solutions from the ground up? Do you want to work with modern cloud technologies while helping shape the future of data at a major research university? 

This is an opportunity to join the University of Idaho at the beginning of a significant technology transformation. As a Data Engineer, you'll play a hands-on role in designing and developing the university's enterprise data lakehouse, creating the pipelines, data models, and trusted data products that will power institutional decision-making for years to come. 

Rather than simply maintaining existing systems, you'll help establish the architecture, engineering practices, and foundational capabilities of a growing enterprise data platform. You'll work with Databricks, Delta Lake, Python, SQL, and cloud technologies while collaborating with technical leaders, analysts, and stakeholders across the university. 

Working alongside the Technical Product Manager for Enterprise Data and Data Governance Manager, you'll have the opportunity to influence how data is structured, governed, and delivered across academic and administrative functions. 

For someone who enjoys solving complex problems, working with emerging technologies, and seeing the direct impact of their work, this role offers an opportunity to build something meaningful. 

Your Contribution Will Likely Include 

Data Pipeline Development & Engineering (40%) 

• Design, build, and maintain reliable data ingestion pipelines that connect enterprise systems, including Banner/Ellucian ERP and other institutional data sources. 

• Develop scalable data transformations using medallion architecture (bronze, silver, and gold layers) to turn raw information into trusted, analytics-ready data products. 

• Write efficient, maintainable Python and SQL code while applying modern software engineering practices, including version control, code reviews, and modular development. 

• Partner with the Technical Product Manager to translate business needs into practical engineering solutions and contribute to agile planning and delivery. 

• Troubleshoot pipeline failures, integration challenges, and data quality issues to maintain reliable access to institutional information. 

Data Platform Support & Operations (25%) 

• Help operate and optimize the university's Databricks lakehouse environment, monitoring pipelines, compute resources, and platform performance. 

• Support Unity Catalog administration, including data organization, access controls, and governance-aligned configurations. 

• Build automated data quality checks and validation processes that improve confidence in institutional reporting. 

• Develop operational documentation, troubleshooting guides, and platform procedures that support long-term sustainability. 

• Contribute engineering insights to platform optimization, capacity planning, and infrastructure decisions. 

Data Modeling & Product Development (20%) 

• Collaborate with institutional analysts, data consumers, and business partners to design data models that make information easier to access, understand, and use. 

• Create dimensional models, aggregated datasets, and curated data products that support reporting, analytics, and downstream applications. 

• Help establish data modeling standards, naming conventions, and documentation practices across the enterprise lakehouse. 

• Explore emerging Databricks capabilities, including Delta Live Tables, Lakeflow Connect, and AI/BI Genie, to identify opportunities for innovation and platform improvement. 

Collaboration, Documentation & Continuous Learning (15%) 

• Work within a collaborative, agile technology team, participating in sprint planning, technical discussions, and solution design. 

• Build relationships with data stewards, analysts, and university stakeholders to understand their needs and identify opportunities to improve data accessibility. 

• Create clear, useful documentation for pipelines, data products, and integration patterns. 

• Stay current with developments in data engineering, cloud infrastructure, and Databricks technologies, sharing knowledge and ideas with colleagues. 

Experience You Will Bring 

Required Qualifications 

• Two or more years of experience in data engineering, software development, or a closely related technical role. 

• Demonstrated experience using Python or SQL to process, transform, or analyze data. 

• Experience developing or supporting production data pipelines, including ETL/ELT workflows. 

• Bachelor's degree in Computer Science, Information Technology, Management Information Systems, or a related field. Four additional years of relevant experience (six years total) may substitute for the bachelor's degree. 

Preferred Qualifications 

• Three or more years of experience in data engineering or a related technical field. 

• Experience with cloud-based data platforms, particularly Databricks, Delta Lake, or similar lakehouse technologies. 

• Familiarity with PySpark or other distributed data processing frameworks. 

• Understanding of data modeling approaches such as medallion architecture, dimensional modeling, or data vault. 

• Experience working with enterprise ERP data, particularly Banner/Ellucian or systems supporting student, HR, or financial operations. 

• Experience with cloud infrastructure, Git, pull request reviews, and collaborative development practices. 

• Familiarity with data quality frameworks, automated testing, and BI tools such as Power BI. 

• Experience working in higher education technology environments or with sensitive institutional data. 

• Familiarity with agile development methodologies and sprint-based delivery. 

• Databricks Certified Data Engineer Associate or Professional certification. 

What's in it for you: 

The University of Idaho offers an opportunity to combine meaningful, mission-driven work with the technical challenges of a modern enterprise data environment. 

The anticipated salary for this position is $80,000-90,000 annually, with compensation dependent on experience and qualifications. Hybrid or remote opportunities available.

In addition to competitive compensation, the university offers a comprehensive employee benefits program designed to support employees' health, financial well-being, and long-term professional success. 

Learn more about the University of Idaho's employee benefits: https://www.uidaho.edu/human-resources/benefits 

Beyond compensation and benefits, this opportunity offers: 

• Build from the beginning: Join a multi-year modernization initiative where your contributions will help establish the university's next-generation enterprise data platform. 

• Work with modern technology: Gain hands-on experience with Databricks, Delta Lake, cloud infrastructure, and emerging AI-enabled data capabilities. 

• Make a meaningful impact: Develop the data foundation supporting institutional analytics, research, operations, and informed decision-making. 

• Collaborate across the university: Partner with technical experts and stakeholders representing diverse academic and administrative functions. 

• Continue growing: Expand your expertise through emerging technologies, collaborative problem-solving, and ongoing professional development. 

• Flexible work possibilities: Hybrid or remote arrangements may be available depending on the candidate and institutional needs. 

Equal Employment Opportunity 

The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.  

For more information about the university's equal opportunity initiatives:  

https://www.uidaho.edu/governance/equal-opportunity/hiring/advertising 

Another Source works with their clients, on a retained project basis. We are committed to building inclusive candidate pools as we partner with hiring teams. As you read through the job posting and review the list of qualifications (required and/or preferred), please do not self-select out if you feel you do not meet every qualification. No one is 100% qualified. We encourage you to apply and share your story with us. 

 

 

 

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