Healthcare Data Engineer IV

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.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: P34030Grade: 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.

Preferences

Special Instructions

Requisition Number:

PRN46087B

Full Time or Part Time?

Full Time

Work Schedule Summary:

M-F 8-5p

Department:

00943 - HSC Core Resrch Facility Oper

Location:

Campus

Pay Rate Range:

105,000\.00-145,000\.00

Close Date:

03/01/2027

Open Until Filled

To apply, visit \https://utah.peopleadmin.com/postings/209178

Copyright ©2025 Jobelephant.com Inc. All rights reserved.

Posted by the FREE value-added recruitment advertising agency

je-1dcac29bb3744e1aa4ecf94d67e4ea0b