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Data Engineer Jobs in Roy, UT (NOW HIRING)

Exiger

Forward Deployed Engineer

South Ogden, UT · On-site

You will operate at the intersection of engineering, data science, and mission delivery - embedded ... alongside customer stakeholders and internal teams. Working in small, high-trust teams, you will ...

Audiohook

Data Scientist

Eden, UT · On-site +1

Role Overview The Data Scientist will own the measurement science behind Audiohook\'s performance ... You\'ll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure ...

Element Materials Technology

Data Processor

Ogden, UT · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

JT4, LLC

Operations Test and Data Analyst

Magna, UT · On-site

Company Profile JT4, LLC provides engineering and technical support to multiple western test ranges ... Ensures accurate parametric data collection, analysis, and delivery for assigned test programs ...

Cox Automotive

Sr Manager, Software Engineering

Magna, UT · On-site

$148K - $247K/yr

Sr Manager, Software Engineering - Xtime Leads multiple Engineering Development teams across ... Partners with Product, Architecture, QE, DBA, and data counterparts on cross-domain delivery, and ...

PACS

Senior DataBI Analyst

Farmington, UT · On-site

$100/hr

Stay current with best practices in data engineering, analytics, and the Microsoft Fabric ecosystem. * Write Python scripts and Jupyter notebooks for data extraction, transformation, and automation ...

Spirax-Sarco Engineering

Quality Engineer

Ogden, UT

$70K - $91K/yr

You will create sampling procedures and designs and set forms forrecording, evaluating, and reporting quality and reliability data. The Quality Engineers establishprograms to evaluate analytical ...

Spirax-Sarco Engineering

Quality Engineer

Ogden, UT · On-site

$70K - $91K/yr

You will createsampling procedures and designs and set forms for recording, evaluating, andreporting quality and reliability data. The Quality Engineers establish programs to evaluate analytical ...

Bechtel

Data Integration PCE, Sentinel

Ogden, UT

Bechtel is the Engineering, Procurement, and Construction (EPC) partner on the Northrop Grumman ... This position gathers data from disparate sources to combine it into a unified, accessible dataset ...

SynergisticIT

Junior API Developer (RESTful APIs)

Ogden, UT · On-site

$65K - $85K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Engineers/Data Scientists, Machine Learning engineers for ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Roy, UT

Data Engineer information

See Roy, UT salary details

$42.4K

$123.7K

$169.3K

How much do data engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for data engineer in Roy, UT is $123,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,100.00 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.
More about Data Engineer jobs
What cities near Roy, UT are hiring for Data Engineer jobs? Cities near Roy, UT with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Roy, UT as of June 2026, with employment types broken down into 2% As Needed, 86% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,722 per year, or $59.5 per hour.
DevOps Engineer- Contour Cloud

DevOps Engineer- Contour Cloud

Contour Data Solutions

Magna, UT • On-site

$150K - $200K/yr

Full-time

Posted 27 days ago

Key responsibilities

  • Design, deploy, and maintain Linux-based cloud infrastructure supporting ContourCloud workloads.

  • Collaborate closely with the Cinch Software development team to enable cloud orchestration, automation, and platform integration.

  • Implement and maintain monitoring and observability platforms, including Zabbix and Grafana, for infrastructure monitoring and visualization.

Job description

Company: Contour Data Solutions, LLC
Role: DevOps Engineer - Contour Cloud
Location: Remote / Hybrid (US-based preferred)
Department: Cloud & Infrastructure Engineering
Reports To: Head of Engineering / Infrastructure/Cloud
Salary Range: $150K-$200K
Role Overview
Contour Data Solutions is seeking a DevOps Engineer to support and evolve Contour Cloud, our private and hybrid cloud platform, and to work closely with the Cinch Software development team on cloud orchestration and platform automation.
This role sits at the intersection of cloud infrastructure, software development, network engineering, and storage platforms, with a heavy emphasis on Linux-based systems, virtualization, automation, and observability. The ideal candidate is hands-on, infrastructure-first, and comfortable bridging development and operations in a production cloud environment.
Key Responsibilities
Cloud & Platform Engineering
  • Design, deploy, and maintain Linux-based cloud infrastructure supporting ContourCloud workloads
  • Build and automate cloud deployments, platform services, and infrastructure workflows through scripting and code
  • Support and enhance virtualization platforms, with a primary focus on Xen/XCP-ng; VMware, NSX and vSphere experience
  • Build, deploy, and maintain physical and virtual server platforms

Cinch Software Integration
  • Work daily with Cinch Software to:
    • Enable cloud orchestration and automation
    • Ensure reliable cloud deployments and management workflows
    • Improve integration between software-driven automation and infrastructure reali

DevOps & Automation
  • Collaborate closely with the Cinch Software development team to support:
    • Cloud orchestration
    • Platform integration
    • Deployment automation
    • Infrastructure-as-Code-style workflows
  • Develop and maintain automation using scripting and programming languages (e.g., Bash, Python, Go, etc.)
  • Improve deployment consistency, reliability, and repeatability across environments

Networking & IP Management
  • Work directly with the Network Engineering team on:
    • IP address management (IPAM)
    • Network provisioning and lifecycle
    • Cloud and data center network integration
  • Leverage NetBox for IPAM, DCIM, and infrastructure modeling

Monitoring, Observability & Operations
  • Implement and maintain monitoring and observability platforms including:
    • Zabbix for infrastructure monitoring
    • Grafana for visualization and dashboards
  • Assist in capacity planning, performance tuning, and fault analysis
  • Participate in platform reliability and operational readiness initiatives

Storage & Systems
  • Design, build, and maintain server and storage platforms, including:
    • ZFS-based storage architectures
    • TrueNAS (Core or SCALE) platforms
  • Support data integrity, performance, and scalability requirements across cloud and customer environments

Required Skills & Experience
  • Strong Linux systems administration experience (required)
  • Proven experience with:
    • Scripting and automation
    • Infrastructure or platform engineering in production environments
  • Hands-on experience with:
    • Xen virtualization
    • XCP-ng (preferred)
    • VMware NSX & vSphere
  • Experience working with:
    • NetBox (IPAM / DCIM)
    • Zabbix
    • Grafana
  • Experience building and supporting:
    • Physical servers
    • Virtual infrastructure
    • ZFS-based storage platforms
    • TrueNAS
  • Ability to work cross-functionally with:
    • Software development teams
    • Network engineering teams
    • Infrastructure and operations teams

Preferred Qualifications
  • Experience in private cloud or MSP environments
  • Familiarity with cloud orchestration and self-service platform design
  • Understanding of DevOps best practices across infrastructure and application lifecycles
  • Strong documentation and communication skills
  • Experience supporting multi-tenant or customer-facing platforms

How This Role Is Different
  • Not a pure CI/CD or app DevOps role
  • Not isolated infrastructure engineering
  • This is a platform DevOps role, tightly coupled to:
    • Product-driven cloud orchestration (Cinch)
    • Real production infrastructure
    • Networking, storage, and observability

Why Contour Cloud?
  • Work on a real, production private cloud platform
  • Direct impact on cloud architecture, automation, and platform design
  • Tight collaboration with product development around Cinch Software
  • Engineering-first culture with deep infrastructure expertise

Apply