Healthcare Data Engineer IV

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 froma variety of data sources. Develop robust and scalable solutions that 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 data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications andcoded data pipelines. Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, 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 joblevels and associated pay rates based on their business need andbudget.

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 datainto a useful format for analysis, enhance data flow, and enableend 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, dataanalysts, 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, 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/ordata warehouses.

Recognized as subject matter expert and advanced individual contributor professional. Requires specialized skillset. 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 fordata-related questions from end-users, and be responsible forstandardization, documentation, and maintaining a repertoire ofanswers and solutions to common problems.

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 joblevels:

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

PRN
46087B

Full Time

M-F 8-5p

00943 - HSC Core Resrch Facility Oper

Campus

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03/01/2027