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Data Engineer Jobs in Layton, UT (NOW HIRING)

Data Engineer

Ogden, UT

$112K - $134K/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

Ogden, UT · On-site

$112K - $134K/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

Write and maintain version-controlled code in the GitHub repository Required Qualifications * 3+ years of data engineering experience in a production environment * Strong SQL skills: complex stored ...

Write and maintain version-controlled code in the GitHub repository Required Qualifications * 3+ years of data engineering experience in a production environment * Strong SQL skills: complex stored ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 Strategy-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

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

Data Analytics Engineer

Ogden, UT

$112K - $134K/yr

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the bank's Business Intelligence pipelines, modeling, and reporting. This role bridges data engineering ...

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Showing results 1-20

Data Engineer information

See Layton, UT salary details

$40.4K

$117.9K

$161.3K

How much do data engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data engineer in Layton, UT is $117,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $124,900.00 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.
What are the most commonly searched types of Data Engineer jobs in Layton, UT? The most popular types of Data Engineer jobs in Layton, UT are:
What are popular job titles related to Data Engineer jobs in Layton, UT? For Data Engineer jobs in Layton, UT, the most frequently searched job titles are:
What cities near Layton, UT are hiring for Data Engineer jobs? Cities near Layton, UT with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Layton, UT as of June 2026, with employment types broken down into 6% Internship, 82% Full Time, 6% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $117,856 per year, or $56.7 per hour.

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Data Engineer
RC Willey is seeking a Data Engineer to collect, analyze, and interpret data that supports informed business decisions and drives performance. This role will develop data solutions using SQL, Power BI, and other Microsoft tools, collaborating with cross-functional teams to build efficient data models, create impactful visualizations, and ensure data accuracy across the organization.
Salary: $90-120k annual salary (dependent on experience)
This role is on-site at our Salt Lake City, UT Corporate Office. Remote work and relocation support are not offered
Key Responsibilities
  • Utilize SQL to query and extract data
  • Develop Power BI dashboards for various business units
  • Create PowerApps as needed to support project goals
  • Work with end users to design effective visualizations
  • Extract data from multiple sources to provide visualization to accommodate the needs of the company
  • Validate the data displayed to the end users
  • Refine data base designs and data structure for efficiency in models
  • Analyze key metrics and identify patterns
  • Collaborate with teams and stakeholders on data projects.
  • All other duties as assigned

Skills and Qualifications
  • Bachelor's degree (or higher) in Computer Science, Information Technology, or related field, required
  • 3+ years of technical and relevant data engineering experience
  • Expert SQL skills, including stored procedure development
  • Proficient in SSIS, Power BI, data warehousing, and Microsoft Visual Studio
  • Strong programming and database skills using C# and/or Python preferred
  • Experience creating and maintaining Power Apps
  • Strong Data Modeling skills
  • Experience in ETL processes
  • Experience in data analytics and data visualizations
  • Familiarity in sales, inventory, accounting data analysis and data models
  • Strong analytical and problem-solving abilities
  • Detail-oriented, self-motivated, and able to perform under pressure

Ready to join the team?
Working with us is more than just a paycheck- it's about being part of an organization that values connection and community. At RC Willey, we are not just about home furnishings; we are about designing a place where both customers and associates feel at home. Not only will you assist customers in creating "their home, their way," but you'll also have the opportunity to enhance your own home with one of our most popular benefits: our merchandise discounts!
If you're ready to grow in a supportive, fun environment, we offer a comprehensive benefits package, which includes:
  • Paid Time Off, starting your first day
  • Paid holidays
  • Medical, dental, vision and life insurance
  • Generous discounts on merchandise
  • Tuition Reimbursement
  • Company medical clinic
  • Paid parental leave
  • Pet insurance
  • Annual profit-sharing incentive
  • 401(k) with company match
  • Opportunities for career advancement
  • And more!

To help keep our associates and customers safe, we perform a criminal background check and a pre-employment drug screen.
Pay Range: $90,000 - $120,000 per year