Data Engineers

Utah; Salt Lake City, Northern (UT, KY); Hybrid; USD 80,000 - 130,000; Full time

Benefits offered by this job

UTA transit pass

50% tuition reduction for employee/fam

Employer retirement contribution 14.2%

Job summary

The University of Utah's University Analytics & Institutional Reporting (UAIR) office leads a team of data professionals turning complex university data into trusted information for leadership and regulatory reporting. We seek an experienced data architect/engineer to design, build, test, implement, and maintain data transformation pipelines and data models with care for quality.

The role requires residence in Utah and campus work 3 days per week in a hybrid setup.

Qualifications

• Bachelor’s degree with 6 years of experience or Master’s with 4 years in institutional research, analytics, data science or related field.
• Proficiency in querying, manipulating and analyzing complex datasets.
• Excellent interpersonal and communication skills for presenting data to diverse audiences.
• Experience with data visualization tools (Tableau, Power BI) and SQL.
• Proficiency in Python and experience with APIs.
• Ability to manage multiple projects and collaborate across teams.

Responsibilities

• Research source data structures, relationships, content and quality; support requirements discovery.
• Design, build, implement, and maintain data transformation pipelines and reporting structures.
• Automate data quality audits and corrections.
• Write complex SQL queries to support analytics needs.
• Develop data/process documentation including data flows and definitions.
• Share knowledge and grow with the team; explore new ideas and tools.
• Other duties as assigned.

Skills

Data querying

Data analysis

SQL

Python

APIs

Project management

Communication

Data visualization

Tableau

Power BI

Oracle SQL

AWS Glue

Apache Airflow

PeopleSoft data

Education

Bachelor’s degree + 6 years experience in IR/analytics/data science

Master’s degree in MIS or related field

Tools

Tableau

Power BI

Lucidchart

SQL tooling

AWS Glue

Apache Airflow

PeopleSoft

Job description

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

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

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 [phone] 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 [phone] or [phone] or University Human Resource Management at [phone] 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.