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Data Engineering Jobs in Utah (NOW HIRING)

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

We'll rely on your expertise across data, AI, and knowledge engineering to develop reliable systems that make organizational knowledge accessible at scale. Your ability to leverage AI to build ...

Data Engineer

Lehi, UT

$107K - $129K/yr

This position is ideal for individuals with some hands-on experience in data engineering who are eager to grow and develop their technical expertise. This is a full-time role and will work a hybrid ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

This position is ideal for individuals with some hands-on experience in data engineering who are eager to grow and develop their technical expertise. This is a full-time role and will work a hybrid ...

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states. You'll join our data & analytics team ...

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states. You'll join our data & analytics team ...

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states. You'll join our data & analytics team ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

This position is ideal for individuals with some hands-on experience in data engineering who are eager to grow and develop their technical expertise. This is a full-time role and will work a hybrid ...

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

You'll lead cross-functional data initiatives, set engineering standards, and contribute to the data infrastructure that supports LVT's growing AI capabilities. This role is based in-office out of ...

Data Architect

Lehi, UT · On-site

$140 - $190/hr

Partner with engineering leadership and business stakeholders to translate reporting and analytics needs into scalable data architecture * Guide and mentor data engineers through design reviews ...

Data Architect

Lehi, UT · On-site

$59.75 - $77/hr

Partner with engineering leadership and business stakeholders to translate reporting and analytics needs into scalable data architecture * Guide and mentor data engineers through design reviews ...

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Document data architecture, runbooks, and processes to ensure organizational continuity Qualifications Required * 3-5 years of professional experience in data engineering, platform engineering, or a ...

Showing results 41-60

Data Engineering information

See Utah salary details

$41.9K

$150.2K

$221.7K

How much do data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineering in Utah is $150,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $154,800.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Utah?

The most popular types of Data Engineering jobs in Utah are:

What cities in Utah are hiring for Data Engineering jobs?

Cities in Utah with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $150,228 per year, or $72.2 per hour.

IAR Senior Data Analyst

Western Governors University

Salt Lake City, UT • On-site

$91K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Western Governors University rating

8.5

Company rating: 8.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

82nd of 631 rated colleges and universities


Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:

Grade: Professional 310Pay Range: $91,000.00 - $136,400.00

Job Description

At WGU, data is a catalyst for better outcomes. As an IAR Senior Data Analyst, you will transform complex information into meaningful insights that help leaders make informed decisions, improve operations, and enhance the student experience. This role partners closely with academic leaders, data engineers, product teams, finance, and other stakeholders to solve challenging business problems through data storytelling, analytics, and reporting.
This position is ideal for someone who combines strong technical expertise with the ability to communicate insights to executive audiences. You are equally comfortable writing complex SQL, developing business intelligence solutions, collaborating on data pipelines, and presenting actionable recommendations to senior leaders.
What You'll Do
  • Partner with stakeholders across academic delivery, reporting, data engineering, and executive leadership teams to identify analytics needs and translate business questions into technical requirements.
  • Develop, maintain, and enhance dashboards, reports, and visualizations that provide actionable insights and support key business decisions.
  • Perform complex analyses across multiple data domains to answer strategic business questions, evaluate initiatives, and support planning activities such as quarterly business reviews and operating plans.
  • Collaborate with Data Engineering teams on ETL/ELT processes, data pipelines, and data quality initiatives to improve the reliability and accessibility of university data.
  • Identify, investigate, and resolve complex data issues while helping establish standards and best practices that improve data quality across the organization.
  • Combine data analysis, visualization, and storytelling techniques to communicate findings effectively to technical and non-technical audiences, including executive leadership.
  • Drive projects and analytics initiatives with a high degree of autonomy while mentoring peers through knowledge sharing and constructive feedback.
What You'll Bring
  • Bachelor's degree in a related discipline.
  • 5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.
  • Advanced SQL proficiency, including complex queries, subqueries, joins, aggregations, window functions, common table expressions (CTEs), data manipulation, and performance optimization.
  • Strong experience building reports, dashboards, and visualizations using Tableau.
  • Experience working with analytics engineering concepts, ETL/ELT processes, data pipelines, and data quality initiatives.
  • Ability to read, understand, and work with PySpark code in support of analytics and data engineering efforts.
  • Experience communicating complex insights to partners, stakeholders, and senior leaders through presentations, meetings, workshops, and written communications.
  • Knowledge of data modeling concepts including conceptual, logical, dimensional, star schema, and snowflake schema design.
  • Experience with descriptive statistics, causal analysis, and inference.
  • Proficiency with Microsoft Office applications, including advanced Excel.
  • Familiarity with project management methodologies such as Agile, Waterfall, or SDLC frameworks.
  • Ability to perform with a high level of autonomy, reliability, self-direction, and sound judgment while balancing multiple priorities.
Bonus Points
  • Experience with Databricks.
  • Experience developing solutions in Power BI.
  • Exposure to Databricks Genie or other AI-assisted coding and analytics tools.
  • Experience using Jira, Confluence, Miro, Visio, Lucidchart, or similar collaboration and diagramming platforms.
  • Previous experience supporting executive reporting, strategic planning, or high-visibility business reviews.
Experience in Lieu of Education
An equivalent combination of training, experience, credentials, or accomplishments demonstrating the ability to perform the essential functions of this job may substitute for education degree requirements.
What to Expect
At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
  • Introductory call
  • Hiring manager interview
  • Technical Panel interview
  • Leadership Interview
Work Location
This is a full-time, in-office position requiring five days per week in our Salt Lake City, Utah office, designed to foster the collaboration and connection that fuel our best work.
Visa Sponsorship
While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Travel Requirement
This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.


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