HealthcareDataEngineer III

Healthcare Data Engineer III

University of Utah

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, scalable solutions to 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, Mongo

DB, 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 databases, and/or data warehouses. Work collaboratively with end‑users including researchers to recommend strategies for problem analysis, study design, and apply rigorous data science methods. Serve as 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.

Perform complex, important work under minimal supervision and with wide latitude for independent judgment.

• Bachelor's (or equivalency) + 6 years of directly related work experience, or Master's (or equivalency) + 4 years of directly related work experience.
• 1 year of higher education can be substituted for 1 year of directly related work experience.

• Master's degree in biomedical informatics, computer science, information systems, bioengineering, or equivalent, with an emphasis on healthcare.
• 4+ years of experience with healthcare data warehousing, electronic health records (ideally Epic), and data preparation & analysis.
• Knowledge and experience in applying controlled medical terminologies such as SNOMEDCT, LOINC, RxNorm, etc. in healthcare.
• Clinical training (e.g., medicine, nursing, pharmacy, etc.).
• Demonstrated expertise in a broad array of data science theories and techniques.

Requisition Number: PRN
43881B

Employment Type:

Full Time

Department: 00943 – HSC Core Research Facility Oper

Location:

Campus

Pay Rate: $95,000 – $125,000 per year

Final date to receive applications: 4/18/2026

To apply: