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Data Engineer Jobs in Midvale, UT (NOW HIRING)

Data Engineer

Salt Lake City, UT · On-site +1

$105K - $126K/yr

Summary As a Data Engineer with WesTech, you will design, develop, and optimize scalable data solutions that support enterprise reporting, analytics, and operational decision-making. This role builds ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Data Engineer Lehi, UT (Onsite) | Full-Time At Serenity Mental Health Centers, we are on a mission to revolutionize mental wellness care by leveraging data and technology. Join us as a Data Engineer ...

Data Engineer

Draper, UT

$100K - $114K/yr

T. is actively seeking a Data Engineer for an immediate full-time opportunity with our industry leading client. Are you on the lookout for a unique career opportunity that offers leadership ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

The Senior 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 ...

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Position Summary We're hiring a Data Engineer to build our data foundation from the ground up. Today, our data lives across transactional databases, SaaS tools, and external APIs. Over the next few ...

Data Engineer

West Jordan, UT

$106K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Salt Lake City, UT

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Lehi, UT · Hybrid

$94K - $118K/yr

We are looking for a talented Software Engineer to join our team. This is an opportunity to work withunique, large data sets. You will take a role in furthering the big data footprint at Ancestry and ...

Data Engineer

Lehi, UT · On-site +1

$94K - $118K/yr

We are looking for a talented Software Engineer to join our team. This is an opportunity to work withunique, large data sets. You will take a role in furthering the big data footprint at Ancestry and ...

Data Engineer

Lehi, UT · Remote

$94K - $118K/yr

We are looking for a talented Software Engineer to join our team. This is an opportunity to work withunique, large data sets. You will take a role in furthering the big data footprint at Ancestry and ...

Sr. Data Engineer

Lehi, UT

$107K - $129K/yr

Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for Adobe ...

Sr. Data Engineer

Lehi, UT

$107K - $129K/yr

Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for Adobe ...

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 ...

Data Engineer

Lehi, UT · Hybrid

$94K - $118K/yr

We are looking for a talented Software Engineer to join our team. This is an opportunity to work withunique, large data sets. You will take a role in furthering the big data footprint at Ancestry and ...

Senior Data Engineer

Draper, UT · On-site +1

$126K - $176K/yr

Our Data Engineering practice is growing! JourneyTeam is looking for a hungry, humble, and smart Senior Data Engineer Consultant to join our world-class team and continue building out our best-in ...

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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 22, 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.
Data Engineer

Data Engineer

WesTech Engineering

Salt Lake City, UT • On-site, Remote

$105K - $126K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 4 days ago


WesTech Engineering rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 355 rated engineering


Job description

Our mission at WesTech is to help communities thrive by delivering high-quality water solutions with superior service – safely and sustainably. To achieve this mission, we recruit great people to be part of our collegial and collaborative teams in engineering, design, project management, field service, plant operations, professional services and more.

 As one of the leading operating brands of Swire Water, our values of integrity, humility, endeavor, excellence and continuity make this an outstanding working environment. Our continuing success creates attractive opportunities for purpose-driven professionals to develop new skills, support vital industries, and grow their careers.

 Summary

 As a Data Engineer with WesTech, you will design, develop, and optimize scalable data solutions that support enterprise reporting, analytics, and operational decision-making. This role builds reliable data pipelines, implements dimensional data models, and partners with business stakeholders to deliver trusted datasets and analytics capabilities. The ideal candidate brings hands-on experience with modern data engineering tools and practices, including dbt, Microsoft Fabric, and Kimball dimensional modeling methodologies.

Candidates for this position may be required to pass pre-employment and periodic screenings, including background checks, drug and alcohol tests, or other necessary assessments.

 Some of the work you will do: 

  • Design, develop, and maintain scalable data transformation pipelines using dbt.
  • Build and optimize data solutions within Microsoft Fabric.
  • Develop dimensional models and enterprise data marts using Kimball methodology.
  • Collaborate with analysts, business stakeholders, and technical teams to gather requirements and deliver data solutions.
  • Implement data quality checks, testing, and monitoring processes.
  • Troubleshoot and resolve data pipeline performance and reliability issues.
  • Support CI/CD, deployment, and source control processes for analytics engineering workflows.
  • Improve documentation standards for data lineage, business rules, and technical architecture.
  • Contribute to data governance and master data management initiatives.

Here are the skills that you need: 

  • Bachelor’s degree in a related field, equivalent practical experience, and/or relevant technical certifications.
  • 2–3 years of experience in data engineering, analytics engineering, software development, business intelligence, or a related technical role.
  • Hands-on experience building ETL/ELT pipelines, enterprise data models, and enterprise reporting or analytics solutions.
  • Strong SQL development and query optimization skills, with experience analyzing complex data issues and implementing scalable solutions.
  • Experience using dbt in a production environment and working with data warehousing, ELT architecture, and data pipeline orchestration.
  • Experience with Microsoft Fabric or related Microsoft data technologies, as well as cloud-based analytics platforms.
  • Strong understanding of Kimball dimensional modeling principles.
  • Experience with Git, source control, and development lifecycle practices.
  • Strong communication and stakeholder collaboration skills.

 

Here are the skills and qualifications that will set you apart: 

  • Experience with Python for automation, data processing, or analytics.
  • Exposure to data science, forecasting, or machine learning workflows.
  • Experience with Power BI or enterprise BI platforms.
  • Familiarity with ERP systems such as Business Central, SAP, Oracle, or similar enterprise systems.
  • Experience working in manufacturing, engineering, supply chain, construction, or project-based industries.

 

Physical Requirements:

  • Ability to sit at workstation using computer/phone.
  • Frequently required to sit, talk, hear, and see. Specific vision abilities required by this job include close vision and distance vision.
  • Regularly required to move around the facility.
  • Occasionally required to lift and/or move up to 50 pounds

Benefits and perks we offer:

  • Competitive salary and performance-based annual bonuses.
  • Dollar for dollar 401K match of 6%.
  • Flexible work hours, hybrid schedules with remote work options.
  • Comprehensive health and wellness benefits package with an onsite and virtual medical facility
  • Company HSA contribution, Paid Parental Leave, Employee Assistance Program
  • Company-paid Life Insurance, Accidental Death and Dismemberment, and Long-term Disability.
  • PTO plan and Paid Holidays.
  • Tuition Reimbursement.
  • Company celebrations, summer parties, volunteer opportunities, games, prize drawings, and more!

WesTech considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.