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Data Engineer Jobs in Draper, UT (NOW HIRING)

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building, and operating scalable data platforms, analytics systems, AI/ML infrastructure, and the enterprise ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Data Engineer II

Salt Lake City, UT · On-site

$110K - $133K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

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 ...

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 ...

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 ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

ABOUT THIS POSITION Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

ABOUT THIS POSITION Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Data Engineer information

See Draper, UT salary details

$41.6K

$121.3K

$165.9K

How much do data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer in Draper, UT is $121,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 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.

What are the most commonly searched types of Data Engineer jobs in Draper, UT?

The most popular types of Data Engineer jobs in Draper, UT are:

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

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

What job categories do people searching Data Engineer jobs in Draper, UT look for?

The top searched job categories for Data Engineer jobs in Draper, UT are:

What cities near Draper, UT are hiring for Data Engineer jobs?

Cities near Draper, UT with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Draper, UT as of August 2026, with employment types broken down into 5% Internship, and 95% Full Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $121,265 per year, or $58.3 per hour.

$118K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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 630 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: Technical 408Pay Range: $118,900.00 - $178,500.00

Job Description

The Big Data Developer will design how data will flow through hybrid data environments comprised of open source big data platforms and traditional database systems. The core responsibility for this position includes design of data and systems architecture for OLAP (data warehouse/ODS) and OLTP projects encompassing dimensional and normalized data modeling.
The Big Data Developer will improve technical standards in the environment ensuring optimal use of data warehouse and other data stores to solve business problems. The Big Data Developer will serve as the go to person for query performance and data quality issues including data profiling.

Job Duties

  • Develops and builds ETL/ELT data pipelines for use in data analysis.

  • Creates and maintains optimal data pipeline architecture.

  • Keeps data separated and secure across multiple cloud environments.

  • Assembles large, complex data sets that meet functional and non-functional business requirements.

  • Delivers ad-hoc and analytical reports to internal users and teams.

  • Monitors and maintains ETL/ELT jobs and troubleshoots load issues.

  • Manages change requests/ticket queues for analytical reports and ETL/ELT jobs.

  • Performs data/technology discovery from new sources and third-party applications for data ingestion.

  • Creates complex reports and dashboards in Cognos and Tableau.

  • Ingests and transforms structured, semi-structured, and unstructured data from sources including relational databases, NoSQL, external APIs, JSON, XML, delimited files, and more.

  • Works and delivers in agile methodology for new development projects. Delivers efficient and effective solutions on time.

  • Analyzes and understands data sources and designs a data model for data capture and ETL/ELT.

  • Identifies bugs, applies fixes, and checks data quality via process/pipeline audits.

  • Uses industry best practices for code development, testing, implementation, and documentation.

  • Performs other job-related duties as assigned.

Knowledge, Skills, and Abilities

  • Excellent verbal and written communication skills, along with technical documentation skills

  • Ability to work with team members, as well as cross-team for product delivery

  • Ability to work in an agile environment with timely delivery of ETL/ELT pipelines and reports

  • Knowledge and experience using tools like Jira, Confluence, and GitHub

  • Ability to develop processes for the audit of data integrity

  • Knowledge and experience with validation and testing development to analyze and debug issues

  • Experience with relational SQL and NoSQL databases

  • Knowledge and experience with object-oriented/object function scripting languages, like Python, Java, and Scala

  • Knowledge and experience with big data tools, like Hadoop, Spark, Kafka, Databricks, etc.

  • Exposure to analytical reporting tools, preferably Cognos and Tableau

  • Knowledge and experience with Cloudera or Horton, Impala, Hive, AngularJS, HTML5, and CSS/LESS


Minimum Qualifications

  • Bachelor's Degree in Management Information Systems, Computer Science, or a related field

  • 4 years of experience in Data Engineering, Data Integration, Big Data, Business Intelligence, or Software Engineering

Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements. Generally, equivalent relevant experience is defined as 1 year of experience for 1 year of education and is the discretion of the hiring manager

Preferred Qualifications

  • Higher Education Domain Exposure


Job Description Disclaimer: This position description provides the major duties/responsibilities, requirements and working conditions for the position. It is intended to be an accurate reflection of the current position, however management reserves the right to revise or change as necessary to meet organizational needs. Other responsibilities may be assigned when circumstances require.
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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