Data Engineers

Announcement

Details

Open Date 09/23/2026 Requisition Number PRN46306B Job Title Data Engineers Working Title Data Engineers Career Progression Track P00 Track Level P5 - Expert, P4 - Advanced, P3 - Career, P2 - Developing FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary

8am-5pm MT Monday - Friday

VP Area Academic Affairs Department 00822 - University Analytics & Institutional Reporting Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 80000-130000 Close Date 12/23/2026 Priority Review Date (Note - Posting may close at any time) Job Summary

The University Analytics & Institutional Reporting (UAIR) office houses a transformational group of data professionals that turn complex university data into meaningful, highly valued information that is trusted by university leadership to drive strategic decisions, and generate official figures reported to regulatory, external and public agencies.

The UAIR team operates with an iterative mindset of continuous improvement, learning and adapting strategies as we go. We believe the strengths and knowledge each person brings to the team bolster our collective work and aim for a collaborative environment where we thrive together while tapping into our strongest individual contributions. If you're the type of person who loves data and wants to know your work has meaning, you may find your career home in our office.

We are seeking an experienced data architect to participate in the design, build, testing, implementation, and maintenance of data transformation pipelines. As a member of the team, you'll work with a group of data management professionals who are dedicated to designing and delivering thoughtful data models and wrangling data with care.

Like many areas at the University of Utah, our office is a hybrid work environment and requires residence in the state of Utah with the ability to work from campus 3 days per week. More details can be discussed in an interview. Our office is not currently able to support individuals seeking sponsorship for visa-living in and working from the Utah is a requirement.

About the University of Utah

Located in Salt Lake City, in the foothills of the Wasatch Mountains, the University of Utah is the flagship institution of the State of Utah's system of higher education, a tier-one research institution with membership in the Association of American Universities (AAU) and Big 12 Athletic Conference.

The University offers a strong benefits package, including a personal (401a) retirement account with employer contribution of 14.2%, highly competitive health insurance, generous paid leave time, free public transportation pass (UTA), 50% tuition reduction for eligible employee and family members, and more: https://benefits.utah.edu/

Responsibilities

• Research source data structures, relationships, content and quality. Support requirements discovery.
• Design, build, implement, and maintain data transformation pipelines, processes and reporting structures formatted to support data science, strategic reporting, master data sources, enterprise integrations, point-in-time snapshots and more
• Help automate and manage data quality audits and correction processes
• Write complex SQL queries to support analytics needs
• Develop and maintain data and process documentation, including data flow diagrams, data concepts, keys, definitions, process steps, etc.
• Share your ideas and knowledge, be open to learning from others, and grow with the team as we explore new ideas, methods and tools in our journey of continuous forward progress
• Other duties as assigned

Minimum Qualifications

• Bachelor's degree and 6 years of experience, or master's degree and 4 years of work experience in institutional research, business analytics, data science or related field
• Proficiency in querying, manipulating and analyzing complex datasets
• Excellent interpersonal and communication skills and the ability to present complex data to both technical and non-technical audiences
• Demonstrated experience with data visualization tools such as Tableau, Microsoft Power Bi, etc.
• Experience with data querying languages such as SQL
• Proficiency in python coding
• Experience working with API's
• Demonstrated ability to manage multiple projects and work collaboratively across teams

Minimum Qualifications

EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

Data Engineer, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.

Data Engineer, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.

Data Engineer, IV: Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience.

Data Engineer, V: Requires a bachelor's (or equivalency) + 10 years or a master's (or equivalency) + 8 years of directly related work experience.

*

Preferences

• Advanced Oracle SQL skills to query and manipulate data, create and manage objects.
• experience and acumen to move complex data transformation projects forward under minimal supervision.
• 6 or more years of experience in any of the following areas:
• Relational database or data warehouse programming/development with an aptitude for translating business needs into sound technical solutions.
• Data reporting and analysis, building queries from large relational databases to audit data, perform ad hoc analysis, generate standard reports, with a strong understanding of the back-end structures that facilitate reporting.
• Higher education administration with broad and deep knowledge of student, faculty, HR or finance data and processes, or experience managing data in an institutional research (IR) setting.
• Business systems analysis with a strong understanding of requirements analysis, data and process flows, liaising with functional and technical groups, testing, auditing data, troubleshooting and issue resolution.
• Experience with PeopleSoft data, Tableau, Lucid Chart, and/or similar ERP systems, visualization and diagramming tools.
• Experience building data pipelines in AWS using tools such as Glue and Apache Airflow
• A Master's degree in MIS or related field

Type Benefited Staff Special Instructions Summary Additional Information

The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.

The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.

Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.

Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.

To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah Non‑Discrimination page.

Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

Posting Specific Questions

Required fields are indicated with an asterisk (*).

• • What is your highest level of completed education?

• None

• High School Diploma or Equivalent

• Associate Degree

• Bachelor's Degree

• Master's Degree

• Doctorate Degree

• • How many years of related work experience do you have?

• Less than 6 years

• 6 years or more, but less than 9 years

• 9 years or more, but less than 12 years

• 12 years or more, but less than 15 years

• 15 years or more

• How many years of experience using SQL do you have?

• Less than 1 year

• 1 year or more, but less than 2 years

• 2 year or more, but less than 4 years

• 4 years or more, but less than 6 years

• 6 years or more

• Are you legally eligible to work in the U.S.?

(Open Ended Question)

• Will you now or in the future require sponsorship for employment visa status (e.g., H-1B status)?

• Yes

• No

• Indicate your level of knowledge/expertise in Advanced SQL, ETL, data analysis, and data modeling:

• None

• Minimal

• Moderate

• Extensive

Applicant Documents

Required Documents

• Resume

Optional Documents

• Cover Letter