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Data Engineer Jobs in Midvale, UT (NOW HIRING)

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 ...

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 ...

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

They are seeking a Data Engineer IV to define, build, and maintain data products and pipelines, collaborating with various teams to ensure high-quality data solutions and governance. Responsibilities ...

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 ...

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 ...

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

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 ...

Sr Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

The Sr Data Engineer will play a key role in advising business leaders by providing data-centric strategic direction, developing business intelligence tools, and collaborating with experts across ...

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 ...

Data Engineer Overview Our client is seeking a Data Engineer with extensive DataStage, SQL and ETL experience. In this role you'll join a fast-paced Enterprise Technology and Operations team within a ...

Senior Data Engineer

Sandy, UT · On-site

$100K - $136K/yr

Make an Impact Join our Financial Data & Analytics team as a Senior Data Engineer, where your work directly improves how the business operates. In this role, you won't just build data workflows-you ...

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 ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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Showing results 1-20

Data Engineer information

See Midvale, UT salary details

$42K

$122.3K

$167.4K

How much do data engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data engineer in Midvale, UT is $122,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $129,700.00 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.
What are the most commonly searched types of Data Engineer jobs in Midvale, UT? The most popular types of Data Engineer jobs in Midvale, UT are:
What are popular job titles related to Data Engineer jobs in Midvale, UT? For Data Engineer jobs in Midvale, UT, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Midvale, UT look for? The top searched job categories for Data Engineer jobs in Midvale, UT are:
What cities near Midvale, UT are hiring for Data Engineer jobs? Cities near Midvale, UT with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Midvale, UT as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,337 per year, or $58.8 per hour.
Sr Data Engineer

Sr Data Engineer

Adobe, Inc.

Lehi, UT • On-site

$107K - $129K/yr

Full-time

Posted 28 days ago


Job description

The Opportunity
Adobe is at the forefront of enabling our customers' digital transformation and new experience design-led business models. The Business Operations, Automation & Intelligence team is critical in driving growth and success across our Creativity & Productivity and Customer Experience Orchestration businesses. We provide the systems, tools, and insights that our Sales and Post-Sales teams need to make our customers successful.
The ideal candidate for this position is part analyst, part developer, and part influential leader. In this role, you will advise business leaders by providing data-centric strategic direction to identify and address business issues and opportunities. You will play a key role in developing, understanding, and accomplishing strategic goals to create capacity within the Pricing & Revenue Operations organization. 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'll do
  • Create sophisticated and intuitive business intelligence tools that provide automation and intelligence programs to analysts, management, and executives.
  • Design, develop, and maintain data integration pipelines using APIs to extract, transform, and load data from various sources into target systems.
  • Use Power BI navigation features (e.g.: bookmarks, drill-through) to guide users through compelling data-driven stories.
  • Synthesize complex data sets into insights and build analytics stories that lead to strategic business decisions.
  • Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform analyses, and create custom views.
  • Define acceptance criteria for testing and collaborate closely with engineering, QE, developers, and users to create and implement test plans.

What you need to succeed
  • 6-10 years of experience in Business Intelligence and Analytics
  • Degree or equivalent experience in CS, IT, Statistics, or related fields; and coursework or job experience with advanced data and analytics
  • Advanced hands-on experience with enterprise business intelligence software applications including Microsoft Power BI, Microsoft Power Apps, and Microsoft Excel; SnapLogic is a plus.
  • Exceptional ability to design and create data visualizations that are intuitive, informative, and impactful.
  • Advanced experience using SQL to extract data, understand data structures, and run queries.
  • Outstanding problem-solving and analytical skills including talent for conducting research, analyzing data, developing hypotheses, and synthesizing recommendations.
  • Ability to coordinate with colleagues and stakeholders across the globe.
  • Record of consistently meeting deadlines while working in a fast-paced environment.
  • High degree of intellectual curiosity and ability to absorb new concepts quickly.
  • Self-starter with an ability to successfully lead through ambiguity and prioritize multiple projects and partners.
  • Strong alignment with Adobe's Core Values: Create the future, Own the outcome, Raise the bar, and Be genuine.

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $105,700 -- $211,850 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982