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Data Engineer Jobs in Layton, UT (NOW HIRING)

Atlassian

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Atlassian

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Pwc

Data Strategy-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Pwc

Data Governance- Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Pwc

GenAI Python Systems Engineer-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Armaninollp

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Layton, UT

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 Aug 20, 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.

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.
More about Data Engineer jobs

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:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Layton, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $117,856 per year, or $56.7 per hour.

Senior Data Engineer, DX

Atlassian

Magna, UT • On-site, Remote

$103K - $140K/yr

Other

Posted 5 days ago

Job description

Overview
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
DX is headquartered in Salt Lake City, Utah and is one of the fastest-growing SaaS companies globally. We help engineering leaders build high-performing, productive teams. DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more.
Our business has scaled profitably and grown rapidly-tripling annual recurring revenue in the last several years.
DX recently closed on its acquisition by Atlassian. By joining Atlassian, we will expand our resources, accelerate growth and R&D, and ultimately deliver greater impact to our customers.
What we value at DX
Companies have all kinds of culture slides. At DX, we want to be very clear about what we care about and how we judge performance. For us, it all boils down to individual mastery, becoming the best at your craft. Those who exhibit this quality will thrive here and be unduly rewarded. We can't control outcomes due to competitors, the economy, decision-makers, etc., but what we can control is doing our jobs at the highest level possible
Responsibilities
What you'll do
  • Build and maintain data pipelines that extract, transform, and load live product data into research-ready formats (Postgres, data lake, or analytics warehouse)
  • Design and optimize data models tailored to the recurring analyses behind our AI Impact Reports, DX Core 4 benchmarks, and industry-facing publications
  • Collaborate closely with the research and engineering teams to understand analytical requirements and translate them into scalable, reproducible data infrastructure
  • Ensure data quality and consistency: you care about definitions, edge cases, and making sure the same question gets the same answer every time
  • Support ad hoc data pulls for time-sensitive research and cross-functional requests from Sales, Customer Success, and product teams
  • Document everything - schemas, transformation logic, data dictionaries, and pipeline dependencies so that analysts and researchers can self-serve confidently

Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $167,400 - $218,550
Zone B: $150,660 - $196,695
Zone C: $138,942 - $181,397
Qualifications
What we're looking for
  • Strong SQL skills: you can write complex queries, optimize performance, and model data for analytical workloads
  • Hands-on experience with Postgres or similar relational databases, including working with semi-structured data (JSONB, nested fields)
  • Experience building and maintaining ETL/ELT pipelines that move data from production systems into analytics-ready formats
  • Comfort working with large, messy, real-world datasets: you know how to clean, normalize, and validate data at scale
  • Strong documentation habits: you write clear schema docs, data dictionaries, and pipeline runbooks without being asked
  • Self-motivated and reliable: you can manage recurring deadlines (e.g., quarterly reporting cycles) with minimal oversight

Nice to have:
  • Experience working with SaaS product data, telemetry, or event-driven data
  • Familiarity with developer tooling data: Git/GitHub/GitLab/Bitbucket activity, CI/CD pipeline metrics, Jira issue data
  • Exposure to survey data, time-series analysis, or benchmarking methodologies

Why this role
  • High visibility: The data you shape will underpin reports cited by engineering leaders at the world's largest software organizations
  • High ownership: You'll own the full data pipeline from raw product data to research-ready datasets.
  • Meaningful domain: You'll work at the intersection of developer experience, AI measurement, and engineering productivity, a space that's defining how the industry thinks about software development
  • Research-backed environment: Our team includes the researchers behind the DORA, SPACE, and DevEx frameworks. You'll be building the data infrastructure that makes their work possible

Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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