Data Engineer III

Job Summary

Data Engineer III
Join the Utah Data Coordinating Center (DCC) as a Data Engineer, where your work will directly enable innovative clinical research at the University of Utah and across national partners. You'll lead the design of scalable data systems, define and enforce architecture standards, and work alongside software developers, data analysts, and research teams to ensure our platforms evolve with the needs of scientific discovery. This is a growth-focused role ideal for someone who thrives in a collaborative, mission-driven environment.

The Utah DCC supports large-scale health data infrastructure that underpins national emergency response, clinical registries, and federal research initiatives.

Establish project teams and provide overall direction for technical projects from initiation through to delivery. Perform project requirements, estimation, and budget management. Formulate project scope and delivery strategies and establish milestones/schedules. Maintain and report project status and monitor progress of all team members. Gather required data from end-users to evaluate objectives, goals, and scope to create technical specifications. Serve as liaison between technical and non-technical departments in order to ensure that all targets and requirements are met. Keep leadership informed of key issues that may impact project completion, budget, or other results.

The Utah DCC offers a career ladder for Data Engineers and provides growth and professional development opportunities.

This position is not eligible for work visa sponsorship.

To learn more about the Utah DCC visit http://uofuhealth.org/UtahDCC

Job Responsibilities or Essential Functions

As a Data Engineer, your responsibilities will include:

1. Design, develop, and maintain database architecture following industry best practices
   Design and implement scalable, secure, and high-performing database solutions aligned with industry standards and architectural best practices.
2. Build, optimize, and maintain scalable data pipelines
3. Develop and optimize data processing and automation code
4. Drive continuous improvement and innovation in cloud data technologies (AWS-focused)
5. Collaborate with business partners to develop scalable data solutions
6. Implement and maintain CI/CD and version control best practices
7. Develop and support data pipelines for business intelligence and analytics
8. Support and implement data security and compliance requirements
9. Monitor, troubleshoot, and enhance pipeline performance
10. Gather requirements and document data workflows
11. Operate effectively both independently and within cross-functional teams

Responsibilities

Data Engineer, III: Design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources. ... Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.