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Data Analytics Engineer Jobs in Utah (NOW HIRING)

Data Architect

Salt Lake City, UT ยท On-site

$61.25 - $78.75/hr

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of experience as a data analytics developer or engineer * 5+ years of experience in developing data ...

Data Architect

Salt Lake City, UT ยท On-site

$61.25 - $78.75/hr

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of experience as a data analytics developer or engineer * 5+ years of experience in developing data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer

Salt Lake City, UT ยท On-site

$110K - $133K/yr

RC Willey is seeking a Data Engineer to collect, analyze, and interpret data that supports informed business decisions and drives performance. This role will develop data solutions using SQL, Power ...

Data & AI Platform Engineer

Salt Lake City, UT ยท On-site

$110K - $133K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

React Engineer

Salt Lake City, UT ยท On-site +1

$83K - $160K/yr

The Data & Analytics Platform team is modernizing CHG's enterprise reporting and analytics experiences by migrating them to React applications hosted in Snowflake. As a React Engineer on the Data ...

Data Engineer

Provo, UT ยท On-site

$108K - $130K/yr

The Data Engineer will own the design, development, and optimization of the data infrastructure ... Working closely with business intelligence analysts, compliance teams, and technology leadership ...

Data Engineer

Salt Lake City, UT ยท On-site +1

$90K - $120K/yr

Data Engineer RC Willey is seeking a Data Engineer to collect, analyze, and interpret data that supports informed business decisions and drives performance. This role will develop data solutions ...

Direct and manage a small team of contractors: an Analytics Engineer responsible for data pipeline and infrastructure work, and a Tagging amp; Tracking Specialist responsible for implementation and ...

Data Engineer

Salt Lake City, UT ยท On-site

$90K - $120K/yr

Data Engineer RC Willey is seeking a Data Engineer to collect, analyze, and interpret data that supports informed business decisions and drives performance. This role will develop data solutions ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Showing results 41-60

Data Analytics Engineer information

See Utah salary details

$40.5K

$118.1K

$161.6K

How much do data analytics engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analytics 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.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

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

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

What cities in Utah are hiring for Data Analytics Engineer jobs?

Cities in Utah with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,090 per year, or $56.8 per hour.

Data Architect

Krux Analytics

Salt Lake City, UT โ€ข On-site

$61.25 - $78.75/hr

Full-time

Re-posted 2 days ago


Job description

Data Architect
At Krux,Innovation Happens Together, by being a true partner to our customers, by valuing collaboration and teamwork, and by including a diversity of industry and life experience.
We are seeking a Data Architect to join our team. Reporting to the Software Development Manager, you will be responsible for building the data infrastructure that is key to our products by organizing, collecting, and interpreting data and then turning that information into actionable insights that inform company decisions and drives growth.
You will be part of a team that is self-motivated, highly collaborative, eager to learn and be challenged, and enjoys having fun.
Who are we?
Krux builds innovative SAAS solutions for the mining industry. We empower our customers to make better decisions through real-time data management and analytics. Understanding our customer's needs and the ability to solve their problems is what sets us apart. Krux, founded in 2016 and headquartered in Alberta, has global reach. We support client's operations on every continent (well, except Antarctica).
What you will do
  • Design, develop and maintain enterprise scale Power BI semantic models (tabular)
  • Architect scalable and high-performance data models to support multi-tenant SaaS analytics
  • Define best practices for dataset design, governance, and lifecycle management
  • Optimize model performance, DAX calculations, aggregations and storage strategies
  • Manage and enhance Power BI service environments (workspaces, deployment pipelines, security)
  • Monitor and improve analytical database performance in cloud environments
  • Conduct model tuning and capacity optimization to support growth and usage scaling
  • Evaluate and enhance current analytics platform architecture
  • Partner with teammates for ETL and data pipeline improvements
  • Provide technical guidance on semantic layer design and analytics best practices
  • Support cross functional stakeholders with scalable reporting architecture
  • Assist in high-priority analytics platform issues

Who you are:
  • You are an expert in Power BI data modeling and Power BI services
  • You are deeply performance-minded, with a strong instinct for optimization, tuning, and proactively identifying issues before they impact users or systems.
  • You are security-conscious and disciplined, understanding the importance of data protection, access controls, and system reliability in production environments.
  • You are a collaborative team player who works effectively with developers, QA, and product partners to solve complex problems and improve delivery outcomes.
  • You are a mentor and continuous learner who enjoys elevating others, improving engineering practices, and staying current with evolving database technologies.

What you bring:
  • Bachelor's Degree (Computer Science, Technology, Engineering, or related field)
  • 10+ years of experience as a data analytics developer or engineer
  • 5+ years of experience in developing data architecture solutions using Tabular Editor is highly desirable
  • Experience in the energy, drilling and/or mining sector is an asset
  • Experience with databases for high performance, multi-tenant web applications is necessary
  • Familiarity with Azure cloud data services
  • Experience with dev tools including Git, Azure, DevOps, Visual Studio, Jira
  • Understanding of modern data development technologies (data engineering, pipeline, ETL)
  • Strong attention to detail, critical thinking, and problem-solving skills.

Work Location:
Calgary, AB (Office is located downtown)
Work remotely: Hybrid work schedule
When You Work at Krux:
  • You will be valued and respected.We believe every team member brings valuable ideas and experiences no matter their seniority. We support and empower the team and trust you to get the job done.
  • You will be part of a team where we lend each other a hand.We strive for high performance by fostering an environment that emphasizes communication, collaboration, and mentorship. We believe that the only way to succeed is together.
  • You will help our customers.Not every role is customer facing but at the end of the day we are all working to make our customers' lives easier. Our goal is to create innovative solutions with a strong emphasis on user experience.
  • You will have a life outside of work.We have partners, kids, families, and friends too, so we realize that work is just one part of your life. Krux offers work-life balance with flexible hours and a hybrid schedule.

We value the power of our differences and at Krux, we walk our talk. We have a diverse team (including in leadership positions) and are dedicated to creating a diverse, equitable, and inclusive environment. We ensure equal opportunity for all applicants and encourage people of allvisible minorities, includingIndigenous applicants,and those of any religion, sex, age, ability, sexual orientation, gender identity or expression to apply.
Now What?
If this position sounds like a great fit, we want to hear from you!
Submit your cover letter and resume today.