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Data Engineer Jobs in Roy, UT (NOW HIRING)

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 ...

PacifiCorp

Engineer I, II

Salt Lake City, UT · On-site

Utilize operational and engineering data to support asset management, reliability improvements, and business decisions. * Work with field personnel, operations, engineering, cybersecurity ...

PacifiCorp

Engineer I, II

Salt Lake City, UT · On-site

Utilize operational and engineering data to support asset management, reliability improvements, and business decisions. * Work with field personnel, operations, engineering, cybersecurity ...

PacifiCorp

Electrical Engineer

Salt Lake City, UT · On-site

Perform routine billing and data analysis to monitor system accuracy and identify engineering anomalies. * Assist field personnel by providing technical support during physical installation and ...

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Showing results 41-60

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 Aug 12, 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.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Roy, UT? The most popular types of Data Engineer jobs in Roy, UT are:
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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,722 per year, or $59.5 per hour.

Senior Associate, Application Developer

L3HHCM20

Salt Lake City, UT

$80K - $149K/yr

Full-time

Medical, Retirement, PTO

Posted 6 hours ago

Posted today

Job description

Job Title: Senior Associate, Application Developer  

Job Code: 42443

Job Location: (On Site) Melbourne, FL; Rochester, NY; Salt Lake City, UT; or Rockwall TX

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

This position is responsible for developing, implementing, and maintaining AI-powered applications and automation solutions that drive business value across the enterprise. This role combines application development expertise with data engineering and artificial intelligence capabilities to build intelligent systems that enhance operational efficiency and enable data-driven decision-making. The selected candidate will work closely with software application development, data engineering, IT, and business stakeholders to deliver secure, scalable, and business-relevant solutions.

Essential Functions:

  • Design, develop, test, and maintain AI-powered applications and automation solutions using modern development frameworks and cloud platforms
  • Work within Palantir Foundry (or similar platforms) to build data-driven applications and analytical workflows
  • Support end-to-end software development activities, including requirements analysis, architecture, coding, integration, testing, and deployment
  • Build and integrate LLM-based applications leveraging generative AI technologies for business use cases
  • Develop agentic AI systems that can autonomously perform tasks, make decisions, and interact with multiple tools and APIs
  • Create and maintain data pipelines for AI model integration, feature engineering, and real-time inference
  • Implement AI solutions for classification, prediction, natural language processing, and computer vision applications
  • Build automation workflows that integrate AI capabilities with existing enterprise systems and business processes
  • Develop APIs, microservices, and supporting components to expose AI functionality to downstream applications and users
  • Perform model evaluation, validation, and performance analysis using appropriate technical metrics
  • Optimize application performance, scalability, and cost-efficiency of AI workloads
  • Ensure compliance with software development standards, cybersecurity requirements, data protection policies, and responsible AI practices
  • Collaborate with cross-functional teams to translate business and technical needs into effective solutions
  • Evaluate and integrate emerging AI technologies and frameworks to maintain competitive advantage
  • Prepare and maintain technical documentation, design artifacts, user guides, and test results
  • Troubleshoot and resolve issues in production AI systems, implementing monitoring and alerting solutions
  • Support lifecycle sustainment of deployed capabilities including defect resolution and performance improvements
  • Participate in agile development processes including sprint planning, daily standups, retrospectives, and technical reviews
  • Contribute to the development of reusable AI components and internal libraries
  • Contribute technical solutions within established architectures and development processes
  • Identify risks and recommend mitigation strategies
  • Stay current with the rapidly evolving AI landscape and share knowledge with the broader team

Qualifications:

  • Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.

Preferred Additional Skills:

  • Strong programming skills and experience with at least one modern programming language (Python, Java, C#, JavaScript, etc.)
  • Hands-on experience working with LLMs and generative AI APIs
  • Demonstrated experience building and deploying applications that integrate AI capabilities
  • Experience with software integration, REST APIs, and service-based architectures
  • Proficiency in data manipulation and analysis using pandas, SQL, and data warehousing concepts
  • Familiarity with version control (Git), automated builds, testing processes, and modern development workflows
  • Experience with Palantir Foundry platform for building data applications and workflows
  • Knowledge of agentic AI frameworks (LangChain, LangGraph, AutoGPT, CrewAI, etc.)
  • Experience with vector databases and RAG architecture
  • Familiarity with prompt engineering techniques and LLM fine-tuning approaches
  • Front-end development skills (React, Vue, or similar) for building AI application interfaces

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $80,500-$149,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $70,500-$130,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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