HealthcareDataEngineer III

Overview

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. They develop robust and scalable solutions that transform data for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier. They write complex SQL queries to support analytics needs and evaluate tools and technologies for data infrastructure and processing.

They collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements into technical specifications and coded data pipelines. They work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, Mongo

DB, Redis, Hadoop, Spark, Hive, Scala, Big Table, Cassandra, Presto, Strom. They work with structured and unstructured data from data stores such as data lakes, relational databases, and data warehouses.

• Design, build, implement, and maintain ETL data pipelines from multiple data sources.
• Develop robust, scalable data processing solutions and optimize data flow for analysis.
• 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 stakeholders to translate requirements into technical specifications and coded pipelines.
• Work with tools, languages, processing frameworks, and databases (e.g., R, Python, SQL, Mongo
  
  DB, Redis, Hadoop, Spark, Hive, Scala, Big Table, Cassandra, Presto, Strom).
• Handle structured and unstructured data from data stores such as data lakes, relational DBMS, and data warehouses.
• Collaborate with end-users to recommend strategies for problem analysis, study design, and apply data science methods as appropriate.
• Provide front-line data-related support, standardization, documentation, and a repository of solutions for common problems.

• Requires a bachelor’s (or equivalent) + 6 years or a master’s (or equivalent) + 4 years of directly related work experience (Career-Level, General Professional track). This role may require a relevant degree plus experience as described.
• Equivalency statement: 1 year of higher education can be substituted for 1 year of directly related work experience (e.g., bachelor’s degree = 4 years of experience).

• Master’s degree in biomedical informatics, computer science, information systems, bioengineering or equivalent, with healthcare focus.
• 4+ years of experience with healthcare data warehousing, EHR systems (ideally Epic), and data preparation & analysis.
• Knowledge of controlled medical terminologies (e.g., SNOMED CT, LOINC, RxNorm).
• Clinical training (e.g., medicine, nursing, pharmacy).
• Demonstrated expertise in a broad array of data science theories and techniques.

• Benefits information: benefits.utah.edu.
• Requisition Number: PRN
  43881B (for reference).
• Employment type:
  
  Full Time.
  
  Location:
  
  Campus. Department: 00943 - HSC Core Resrch Facility Oper.
• Pay Rate Range: $95,000.00 - $.
• Close Date: 4/18/2026. Open Until Filled.