Data Engineers

University of Utah; Campus (IL); On-site; USD 90,000 - 120,000; Full time

Job summary

The University of Utah is seeking a Data Engineer IV to design, build, implement, and maintain ETL pipelines that ingest data from diverse sources and transform it for analytics. You will write complex SQL queries, evaluate data tools and technologies, and collaborate with engineers, data scientists and product teams to translate requirements into robust data solutions.

This advanced-level role in the General Professional track involves working with R, Python, SQL, MongoDB, Hadoop, Spark, Hive,

Qualifications

• 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.
• Data Engineer IV level eligible depending on business need and budget.

Responsibilities

• Design, build, implement, and maintain data processing pipelines for ETL from various sources.
• Develop robust and scalable solutions that enable analysis and faster data consumption.
• Write complex SQL queries to support analytics needs and evaluate tools/technologies for data infrastructure.
• Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate requirements into data pipelines.
• Work with data processing frameworks and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Storm.

Skills

SQL querying

Data analysis

Cross-functional collaboration

Education

Bachelor’s degree or equivalent

Master’s degree or equivalent

Tools

R

Python

SQL

MongoDB

Redis

Hadoop

Spark

Hive

Scala

BigTable

Cassandra

Presto

Storm

Job description

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

Priority Review Date (Note - Posting may close at any time) 09/01/2026

Job Summary

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

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.

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: P34030

Grade: P22

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.

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.

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.

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

Required Documents

Optional Documents

• Resume
• Cover Letter

University Human Resource Management

250 East 200 South, Suite 125 Salt Lake City, UT 84111

Contact us: [phone] By Email: [e-mail]