Healthcare Data Engineer IV

University of Utah; Salt Lake City (UT); On-site; USD 105,000 - 145,000; Full time

Job summary

University of Utah is seeking a Healthcare Data Engineer IV to design, build, and maintain ETL pipelines across diverse data sources, enabling faster analysis for researchers and product teams.

The role emphasizes advanced SQL, collaboration with data scientists and engineers, and applying big data tools such as Hadoop, Spark, Hive, and Presto. This is a full-time, campus-based position with a pay range of 105,000–145,000 USD per year.

Qualifications

• Equivalency statement: 1 year of higher education can be substituted for 1 year of directly related work experience.
• Department may hire at Data Engineer, IV level and outline of experience requirements is provided.

Responsibilities

• Design, build, implement, and maintain data processing pipelines for ETL from diverse sources.
• Develop robust, scalable solutions to transform data for analysis and enable end users to analyze data faster.
• Write complex SQL queries to support analytics needs.
• Evaluate and recommend tools and technologies for data infrastructure and processing.
• Collaborate with engineers, data scientists, analysts, product teams, and stakeholders to translate requirements into pipelines.

Skills

ETL design

Data pipelines

SQL proficiency

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

Strom

Job description

Healthcare Data Engineer IV

Job Summary

Data Engineers

Design, build, implement, and maintain data processing pipelinesfor the extraction, transformation, and loading (ETL) of data froma variety of data sources. Develop robust and scalable solutionsthat transform data into a useful format for analysis, enhance dataflow, and enable end users to consume and analyze data faster andeasier. Write complex SQL queries to support analytics needs.Evaluate and recommend tools and technologies for datainfrastructure and processing. Collaborate with engineers, datascientists, data analysts, product teams, and other stakeholders totranslate business requirements to technical specifications andcoded data pipelines. Work with tools, languages, data processingframeworks, 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 datastores, such as data lakes, relational database management systems,and/or data warehouses.

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

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

Responsibilities

Data Engineer, IV

Design, build, implement, andmaintain data processing pipelines for the extraction,transformation, and loading (ETL) of data from a variety of datasources. Develop robust and scalable solutions that transform datainto a useful format for analysis, enhance data flow, and enableend users to consume and analyze data faster and easier. Writecomplex SQL queries to support analytics needs. Evaluate andrecommend tools and technologies for data infrastructure andprocessing. Collaborate with engineers, data scientists, dataanalysts, product teams, and other stakeholders to translatebusiness requirements to technical specifications and coded datapipelines. 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 withstructured and unstructured data from a variety of data stores,such as data lakes, relational database management systems, and/ordata warehouses. Recognized as subject matter expert and advancedindividual contributor professional. Requires specialized skillset. Conducts highly complex work, unsupervised and with extensivelatitude for independent judgment.Requires a bachelor's (orequivalency) + 8 years or a master's (or equivalency) + 6 years ofdirectly related work experience.This is an Advanced-Level positionin the General Professional track.Job Code: P34030Grade: P22

Work collaboratively with end-users including researchers torecommend strategies for problem analysis, study design, and applyrigorous data science methods. Serve as the front-line support fordata-related questions from end-users, and be responsible forstandardization, documentation, and maintaining a repertoire ofanswers and solutions to common problems.

Minimum Qualifications

EQUIVALENCY STATEMENT: 1 year of higher educationcan be substituted for 1 year of directly related work experience(Example: bachelor's degree = 4 years of directly related workexperience).

Department may hire employee at one of the following joblevels:

Data Engineer, IV: Requires a bachelor's (orequivalency) + 8 years or a master's (or equivalency) + 6 years ofdirectly related work experience.

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