Data Engineer IV
Listed on 2026-03-01
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IT/Tech
Data Engineer, Big Data, Database Administrator, Data Analyst
Open Date 02/26/2026
Requisition Number PRN
44361B
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 SummaryDesign, 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 , Mongo
DB, Redis, Hadoop, Spark, Hive, Scala, Big Table, 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.
ResponsibilitiesDesign, 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 , Mongo
DB, Redis, Hadoop, Spark, Hive, Scala, Big Table, 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 QualificationsEQUIVALENCY 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…
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