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Data Engineer Jobs in Utah (NOW HIRING)

Weave

Data Engineer Intern

Lehi, UT · On-site

We're looking for a motivated and enthusiastic Data Engineer Intern to join our team. This is an exciting opportunity to gain hands-on experience in corporate finance and analytics, working with ...

ParetoHealth

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

The Senior Data Engineer will design, build, and maintain serverless data pipelines and data models on AWS that make high-quality, analytics-ready data available to our AI and Analytics teams. This ...

Deegit Inc

Senior Big Data Engineer

Salt Lake City, UT · On-site

$54 - $71.25/hr

Responsibilities • Participate in the engineering and administration of big data systems. • Apache Storm/Java development for both data transformation and augmentation. • Employ best practices ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$150 - $200/hr

As a Software Engineer, Data, you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

PG Forsta

Staff Data Engineer ( Seattle/Provo Hybrid)

Provo, UT · On-site

$108K - $130K/yr

We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure ...

Arturo

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Strong ETL Experience (especially in extraction and ingestion of 3rd party data) Nice-to-haves: * Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

PCC Ltd

Staff Data Engineer

Salt Lake City, UT · On-site

The data piles up in apps nobody reads between visits, and by the time anyone looks, the window has closed.Metabody closes the loop. We unify every signal -- wearables, labs, records -- into one ...

Atlassian

Senior Data Engineer, DX

Salt Lake City, UT · On-site

$150 - $200/hr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more . Our business has scaled ...

Atlassian

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Atlassian

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Utah

Data Engineer information

See Utah salary details

$40.5K

$118.1K

$161.6K

How much do data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data engineer in Utah is $118,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

What are popular job titles related to Data Engineer jobs in Utah?

For Data Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Utah look for?

The top searched job categories for Data Engineer jobs in Utah are:

What cities in Utah are hiring for Data Engineer jobs?

Cities in Utah with the most Data Engineer job openings:

What are popular job titles related to Data Engineer jobs in UT?

For Data Engineer jobs in UT, the most frequently searched job titles are:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Utah as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,090 per year, or $56.8 per hour.

Data Engineer/Analyst

Hill Air Force Base, UT • On-site

Illumination Works LLC
See more jobs at Illumination Works LLCexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Location and Travel Details: Hybrid Onsite 2-3 days a week at Hill Air Force Base (Ogden, UT)

Illumination Works is looking for a Data Analyst/Engineer to join our dynamic team at Hill Air Force Base, Utah, where we specialize in innovative data solutions and analytics. We are committed to leveraging technology to enhance data processing and insights, contributing to our strategic goals and mission effectiveness. This role involves a blend of technical expertise and collaborative skills, working in a hybrid environment to optimize data processes and contribute to our data-driven objectives.

The key responsibilities include:

  • Collaborate with the data team to automate the Extract, Transform, Load (ETL) process using Azure Functions and Python
  • Utilize Python scripting and core data libraries (e.g. Pandas, SQLAlchemy, pyodbc) to optimize data processing and analysis
  • Act as data steward by governing and accounting for inbound and outbound datafeeds, coordinating with interorganizational stakeholders
  • Leverage PySpark and Spark SQL in Databricks to architect and maintain big data ETL processes
  • Implement data lineage, logging, and auditability preferably with exposure to Azure Log Analytics and Application Insights
  • Operate within the government version of Azure, adapting to its specific features and requirements
  • Maintain and develop BI dashboards with tools like Qlik and Plotly
  • Work effectively both independently and as part of a team, demonstrating strong collaborative skills
  • Proactively seek to understand the underlying data and the business logic it supports, contributing to informed data analysis and decision-making
  • Navigate cross-functional collaboration, bridging infrastructure, developer, and end-user needs to translate requirements into technical solutions

Do you have what it takes? Are you driven to implement creative solutions that unravel complex and ever-changing challenges? We value passion, curiosity, and perseverance with an ability to communicate ideas and results to diverse audiences. We look for people who thrive in collaborative and independent assignments, have the aptitude to learn new data quickly, and who are willing to mentor junior team members. 

Key skills we look for include:

  • Must have existing Secret Clearance
  • 3+ years of experience as a Data Analyst/Engineer, with a focus on Python scripting, SQL and ETL processes
  • Familiarity with Azure Functions and Azure Log Analytics, or similar technologies
  • Strong analytical skills and a keen interest in understanding data in a business context
  • Excellent interpersonal skills
  • Existing CompTIA Security+ certification or ability to acquire
  • Minimum education: Bachelor’s degree in Computer Science, Data Science or Analytics, Applied Mathematics, Information Systems, Software Engineering, or comparable academic discipline  
  • Acceptable candidates must successfully pass a drug test and background screen


About ILW 

At Illumination Works, we know data, and we should, we’ve been doing it since we started in 2006! We specialize in everything data from big data to data science, data engineering, software engineering, and cloud design. We are a trusted technology partner in user-centered digital transformation—delivering impactful business results to clients. We partner with customers to solve their unique technology and data challenges and stay on top of modern technologies and advancements leveraging our Innovation Lab. Check out our website to learn more at www.ilwllc.com. 

Why choose us? We invest in our employees in all aspects of their life and we value family. We offer market-competitive salary, a generous PTO package, and comprehensive medical, dental, vision and life insurance plans. We also offer 401K, short/long-term disability insurance, a fun and engaging culture, and training opportunities to keep you up to speed on the latest technologies. 

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

Know Your Rights Poster

E-Verify Participation Poster (uscis.gov)

Accommodations
If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Human Resources Staff by sending an email to ILW_HR@ilwllc.com. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries. 

Notification for current or previously cleared professionals:

Official U.S. Government information appearing in the public domain shall not automatically be considered UNCLASSIFIED or approved for public release. ILW recognizes that information contained in resumes of current or previously cleared professionals may be sensitive, containing potentially proprietary and/or protected information. Protected Information is considered classified, in the process of a classification determination, or unclassified, but protected by statute. Therefore, all resumes should be approved for public release by a U.S. Government Official with Original Classification Authority, prior to posting the resume to ILW’s applicant tracking system.


By submitting my resume, I understand that I am NOT authorized to upload content with Official U.S. Government information that is considered, sensitive, proprietary, or protected.