Operate effectively both independently and within cross-functional teams
Demonstrate the ability to manage priorities, drive initiatives, and deliver high-quality solutions independently while also contributing collaboratively within cross-functional teams. Engage proactively with engineering, BI, security, operations, and business stakeholders to align on requirements, resolve issues, and deliver integrated data solutions. Communicate clearly, share knowledge, and support team objectives to ensure successful project outcomes and continuous improvement.
The Utah DCC offers a career ladder for Data Engineers and provides growth and professional development opportunities.
To learn more about the Utah DCC visithttp://uofuhealth.org/UtahDCC
Learn more about the great benefits of working for University of Utah: benefits.utah.edu
Responsibilities
Data Engineer, III
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. Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
This is a Career-Level position in the General Professional track.
Job Code: P34033
Grade: P21
Expected Pay Range: $64,122 to $124,278
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, III : Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
Preferences
· Experience with cloud data services ( AWS preferred: Glue, S3, EC2; bonus for Lambda, Athena, EMR )
Familiarity with building and maintaining data pipelines and integrations in cloud environments.
· Strong experience with Microsoft SQL Server and T- SQL
Proficiency in writing, optimizing, and troubleshooting complex queries, stored procedures, and database objects.
· Development experience in Python for data engineering
Hands-on experience using Python libraries such as Pandas, PySpark, or Boto3 for data processing, automation, or integrations.
· Experience with version control and CI/CD tools (Git, GitHub/GitLab, Jenkins, etc.) Ability to build and maintain automated deployment workflows for data pipelines.
· Ability to read or understand Java is a plus
Helpful for working with legacy connectors, middleware, or JVM -based big data tools.
· Experience with data visualization/reporting tools (Power BI, Tableau, SSRS )
Ability to support analytics teams by preparing data structures suitable for reporting and dashboarding.
· Understanding of data warehouse principles (Star/Snowflake schemas)
Knowledge of how to structure data for analytics and reporting, even if the primary focus is pipeline engineering.
· Working knowledge of database management, data integration patterns, and ETL / ELT frameworks
Comfortable working with relational, cloud, and distributed data platforms.
· Strong analytical and problem-solving skills
Ability to diagnose data issues, performance bottlenecks, and pipeline failures.
· Strong communication skills
Capable of explaining data concepts and pipeline logic to developers, analysts, and non-technical stakeholders.
· Experience working in Agile environments
Proven ability to meet deadlines, prioritize tasks, and deliver high-quality solutions in iterative development cycles.
Applicants will be screened according to preferences.
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:https://www.utah.edu/nondiscrimination/Online reports may be submitted at oeo.utah.edu https://safety.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.
