Data Engineers

Announcement

Details

Open Date
02/26/2026

Requisition Number
PRN44361B

Job Title
Data Engineers

Working Title
Data Engineer IV

Career Progression Track
P00

Track Level
P4 - Advanced

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

VP Area
U of U Health - Academics

Department
00943 - HSC Core Resrch Facility Oper

Location
Campus

City
Salt Lake City, UT

Type of Recruitment
External Posting

Pay Rate Range
Depends on Experience

Close Date
05/31/2026

Priority Review Date (Note - Posting may close at any time)

Job Summary

Data Engineers

Design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources. Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier. Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines. Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Strom. Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.

Learn more about the great benefits of working for University of Utah: benefits.utah.edu

The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.

Responsibilities

Data Engineer, IV

Design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources. Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier. Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines. Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Strom. Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses. Recognized as subject matter expert and advanced individual contributor professional. Requires specialized skill set. Conducts highly complex work, unsupervised and with extensive latitude for independent judgment.

Work collaboratively with end-users including researchers to recommend strategies for problem analysis, study design, and apply rigorous data science methods. Serve as the front-line support for data-related questions from end-users, and be responsible for standardization, documentation, and maintaining a repertoire of answers and solutions to common problems.

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

This is an Advanced-Level position in the General Professional track.

Job Code: P34034

Grade: P22

Expected Pay Range: $70,535 to $161,814

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

Preferences

• Master's degree in biomedical informatics, computer science, information systems, bioengineering or equivalent, with emphasis on healthcare.
• 4+ years of experience with healthcare data warehousing, electronic health records (ideally, Epic), and data preparation & analysis.
• Knowledge and experience in applying controlled medical terminologies like SNOMEDCT, LOINC, RxNorm, etc. in healthcare.
• Clinical training (e.g., medicine, nursing, pharmacy, etc.).
• Demonstrated expertise in a broad array of data science theories and techniques.

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 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 or or University Human Resource Management at 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: ;/strong> Online reports may be submitted at oeo.utah.edu 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.