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Data Engineer Jobs in Utah (NOW HIRING)

Fidelity Investments

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Performs technical and functional analysis for data engineering projects. * Supports and performs all phases of testing leading to implementation. * Develops comprehensive documentation for multiple ...

Fidelity Investments

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Performs technical and functional analysis for data engineering projects. * Supports and performs all phases of testing leading to implementation. * Develops comprehensive documentation for multiple ...

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 · On-site

$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 · 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 ...

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 ...

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 ...

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 · On-site

$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 ...

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 ...

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 ...

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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 Jul 5, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 2% As Needed, 88% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,090 per year, or $56.8 per hour.
Senior Data Engineer

Senior Data Engineer

Fidelity Investments

Salt Lake City, UT • On-site

$102K - $139K/yr

Full-time

Posted 18 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services

Job description


Position Description:
Designs and implements scalable data pipelines, optimizes workflows for performance and reliability, and ensures compliance with data governance policies. Programs testable and maintainable software solutions using Object Oriented (OO) Python programming and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow. Develops and designs functional programming, emerging technologies, and messaging frameworks, using Kafka. Implements business rule management systems in Python or Java with Drools, Pyke, and Nools. Leverages quantitative, statistics, and econometrics (including probability, linear regression, time series data analysis, and optimizations) techniques and methods. Programs testable and maintainable software solutions using Splunk, Snowflake, YugabyteDB, Aerospike, and S3 database management systems. Employs Agile development lifecycle methodologies (Kanban and SCRUM).
Primary Responsibilities:
  • Develops software system testing and validation procedures, programming, and documentation.
  • Develops original and creative technical solutions to on-going development efforts.
  • Designs applications or subsystems on major projects and for/in multiple platforms.
  • Performs technical and functional analysis for data engineering projects.
  • Supports and performs all phases of testing leading to implementation.
  • Develops comprehensive documentation for multiple applications supporting several corporate initiatives.
  • Responsible for post-installation testing of any problems.
  • Establishes project plans for projects of moderate scope.
  • Works on complex assignments and often multiple phases of a project.
  • Collaborates with teams to support data-centric initiatives.
  • Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") performing cloud-native, event-driven, data platform architecture using Amazon Web Services (AWS) (Lambda, Glue, EC2, EMR, Athena, and Crawler), PySpark, Kafka, and Airflow in enterprise environments.
  • DE building and optimizing data lakes, warehouses, and models, using Snowflake, Redshift, SQL, and Denodo to access federated databases (Oracle, DB2, Teradata, MongoDB, PostgreSQL, MSSQL, Yugabyte, and Aerospike); and enabling scalable transformations, performance tuning, and cross-platform insights.
  • DE developing Continuous Integration and Continuous Delivery (CI/CD) pipeline development and data workflow orchestration, using Airflow, Control-M, Jenkins, SQL, Python, Terraform, and Docker within the Software Development Life Cycle (SDLC), to automate ingestion, transformation, validation, and monitoring for data integrity, Agile delivery, and operational efficiency.
  • DE performing Extract Transform Load /Extract Load Transform (ETL/ELT) for predictive modeling and analytics, using Python, Pandas, Scikit-learn, TensorFlow, and Snowpark; generating insights using PowerBI, Tableau, or Quicksight; and developing scalable solutions using Java, Shell, PL/SQL, Talend, Alteryx, Informatica, Unix, and Linux.

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Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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