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Data Engineer Jobs in Utah (NOW HIRING)

JobNimbus

Staff Data Engineer

Lehi, UT · On-site

As a Staff Data Engineer, you will own the technical architecture and production runtime of JobNimbus's enterprise integration portfolio and external data engine. This is a heavy backend systems ...

JobNimbus

Staff Data Engineer

Lehi, UT · On-site

As a Staff Data Engineer, you will own the technical architecture and production runtime of JobNimbus's enterprise integration portfolio and external data engine. This is a heavy backend systems ...

Pattern

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting and building the very foundation of Pattern's data-driven future. You will tackle massive, petabyte ...

Pattern

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting and building the very foundation of Pattern's data-driven future. You will tackle massive, petabyte ...

Pwc

Data Engineer - Manager

Salt Lake City, UT

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Pattern

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting and building the very foundation of Pattern's data-driven future. You will tackle massive, petabyte ...

LVT

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform-architecting and operating the pipelines, transformations, and semantic models that power reporting ...

Adobe

Sr Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Collaboration with experts across finance, engineering, data science, programming, and UI/UX will be essential to conduct analyses, develop insights, and deliver actionable recommendations. What you ...

Adobe, Inc.

Sr Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Collaboration with experts across finance, engineering, data science, programming, and UI/UX will be essential to conduct analyses, develop insights, and deliver actionable recommendations. What you ...

Kforce Technology Staffing

Senior Data Engineer

Draper, UT

$99K - $134K/yr

The Data Engineer will design, build, and maintain secure, high-performing data platforms that support analytics, data science, and machine learning initiatives at scale. This role plays a critical ...

LVT

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform--architecting and operating the pipelines, transformations, and semantic models that power reporting ...

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

ABOUT THIS ROLE As Senior Data Engineer, you will own and evolve LVT's core data platform-architecting and operating the pipelines, transformations, and semantic models that power reporting ...

Upbound

Data Engineer IV - AI & Data Products

Draper, UT

$107K - $128K/yr

Data Engineer IV - AI & Data Products (Draper UT, In-Office) Upbound Group, Inc. (NASDAQ: UPBD) is a technology and data-driven leader in accessible and inclusive financial solutions that address the ...

Bamboo Insurance

Senior Data Engineer

Midvale, UT · On-site

$100K - $135K/yr

This role sits at the intersection of data engineering, platform reliability, and systems integration. Help evolve the data platform to support AI-assisted data operations, including building ...

New

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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Showing results 1-20

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 Jun 14, 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 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $118,090 per year, or $56.8 per hour.
Staff Data Engineer

Staff Data Engineer

JobNimbus

Lehi, UT • On-site

Full-time

Posted 10 days ago

Job description

We are obsessed with the hero's journey at JobNimbus. Every person has a hero's journey-Hermione Granger, James T. Kirk, Frodo Baggins, Anna & Elsa, Nacho Libre, and even YOU! This is our "call to adventure" to come check out JobNimbus. What do you have to lose? You might make a few new friends, learn about a sick new company doing some amazing things, and maybe even land a new job!
Mission:
As a Staff Data Engineer, you will own the technical architecture and production runtime of JobNimbus's enterprise integration portfolio and external data engine. This is a heavy backend systems-engineering role, not an analyst or dashboard-building position. You will architect real-time stream processing, harden infrastructure to meet strict Enterprise SLAs, build event-driven pipelines that push data directly to global clients, and lead the team through pure automation and infrastructure-as-code. You are the ultimate technical anchor translating data into a high-scale, production-grade product.
What You'll Be Doing:
  • Harden Production Data Infrastructure: Engineer, scale, and operationalize resilient data systems built to withstand the demands of up-market, enterprise customers and strict system availability SLAs.
  • Architect Real-Time Streaming Systems: Build and deploy high-performance stream-processing frameworks using tools like Apache Spark or Kafka, ensuring enterprise SLAs are met
  • Build Event-Driven Integrations: Design, code, and deploy a brand-new backend capability to stream and push system events directly into customer environments as they happen.
  • Eliminate Click-Ops via IaC: Serve as the core technical expert for the team's AWS architecture, codifying and enforcing all environment changes globally through Terraform module design.
  • Pioneer Data-Centric AI Services: Architect, build, and deploy Model Context Protocol (MCP) servers and agentic AI workflows embedded directly within core data services.
  • Enforce Core Engineering Standards: Standardize complex data contracts, schemas, and schemas across broad engineering ecosystems to ensure data served through public APIs is highly synchronized and performant.
  • Technical Mentorship: Drive the technical progression of the engineering team, mentoring senior data engineers in advanced system architecture, cloud networking, and production reliability.

What Makes You the Hero for This Job:
  • Heavy Software & Systems Engineering Depth: 8+ years of deep data engineering experience operating past the $50M ARR scale, specifically focused on building external-facing data systems and high-throughput infrastructure (not internal reporting or analytics).
  • Production Integration Portfolio: A documented history of personally owning, debugging, and maintaining the production runtime of critical customer-facing integration systems, with complete comfort navigating deep change management and 4:00 PM incident escalations.
  • Advanced AWS Cloud Infrastructure: Expert-level depth across AWS big data workloads, cloud networking (VPC Peering, PrivateLink, Transit Gateway), IAM at scale, Lambda/Step functions, and account-level egress cost optimizations.
  • Snowflake Internal Mastery: Deep architecture expertise extending well past writing SQL, including cluster optimization economics, multi-account layout, reader-account flows, Iceberg, and secure data sharing.
  • Strict Terraform Practice: Hands-on experience writing clean, reusable Terraform modules for complex data architectures with strict multi-environment state management and secrets handling.
  • Event-Driven & Streaming DNA: Direct experience or highly advanced familiarity with event-driven architecture and stream-processing frameworks like Apache Spark, Flink, or Kafka.
  • Technical Leadership: Proven experience leading broad, cross-functional technical initiatives from design to deployment, alongside a track record of actively leveling up senior engineers.

What we are explicitly NOT looking for: This is not a BI, analytics, or pipeline-writing role. We are not looking for an analyst or a pure designer who doesn't like to get their hands dirty in the production runtime. We need a hardened software-minded data engineer who treats data infrastructure as a high-scale product.
Superpowers:
  • Ownership. You own the outcomes, drive initiatives, and solve problems proactively. If you need direction and someone to hold your hand, this job is not for you.
  • Customer Obsessed. Everything we build should leave our customers saying, "Aw dip. This product is off the charts cool. Whoever wrote that code deserves a raise!"
  • Proactive Learning. You stay ahead of the curve, continuously learning and implementing cutting-edge technologies.
  • Team Commitment. You build, mentor, and lead a high-performance engineering team that delivers results together.
  • Self Awareness. You know your strengths, weaknesses, and how to surround yourself with the right talent to succeed.

Mentor (Hit us up to get more information)
Dustan Halbach - Specialist in hiring amazing people, lover of the outdoors, hunting, fly fishing, snowboarding, hockey and golf.
JobNimbus is proud to be an equal opportunity / affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, Veteran status, or other legally protected characteristics. This position may require the successful completion of a criminal background check and/or drug screen. If you have a disability or special need that requires accommodation, please let us know in the application.
If you have any questions regarding this job post, please email [email protected].

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