1

Data Engineer Jobs in Roy, UT (NOW HIRING)

Data Management Analyst

Layton, UT · On-site

$60 - $80/hr

Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas of: project scheduling, configuration management, finance and accounting, contracting, limited data ...

Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas of: project scheduling, configuration management, finance and accounting, contracting, limited data ...

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 ...

This role partners with business stakeholders, analysts, data engineers, and IT teams to deliver scalable semantic models, dashboards, reports, and analytics solutions that enable data-driven ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Showing results 41-60

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 Sep 6, 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 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.

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:

Infographic showing various Data Engineer job openings in Roy, UT as of August 2026, with employment types broken down into 84% Full Time, 8% Temporary, and 8% Contract. Highlights an 77% In-person, 8% Hybrid, and 15% Remote job distribution, with an average salary of $123,722 per year, or $59.5 per hour.

Data Management Analyst

KIHOMAC, Inc

Layton, UT • On-site

$60 - $80/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Kihomac rating

8.4

Company rating: 8.4 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

121st of 453 rated engineering


Job description

Expertise and Functions

  • Plan, coordinate, track, review, and deliver all Contract Data Requirements List (CDRL) and Subcontract Data Requirements List (SDRL) deliverables throughout the contract lifecycle

  • Serve as the organization's central point of contact for contractual data deliverables and collaborates closely with Program Management, Contracts, Quality, Supply Chain, and customers to ensure accurate, timely, and compliant submissions

  • Establish and maintain data management processes and document control procedures

  • Reporti metrics while ensuring compliance with contractual requirements, Data Item Descriptions (DIDs), company procedures, and applicable government regulations

  • Serve as the primary administrator for all Contract Data Requirements List (CDRL) and Subcontract Data Requirements List (SDRL) activities

  • Analyze contract requirements, Statements of Work (SOW), Contract Line Item Numbers (CLINs), Data Item Descriptions (DIDs), and CDRLs to establish data deliverable requirements and schedules

  • Develop, maintain, and manage the program CDRL Master Schedule and associated delivery calendar

  • Coordinate with Program Managers, Functional Managers, Integrated Product Teams (IPTs), Quality Assurance, Contracts, Purchasing, and Finance to ensure timely completion of required deliverables

  • Establish internal milestones to ensure all CDRLs undergo required reviews and approvals prior to contractual due dates

  • Review deliverables for completeness, formatting, contractual compliance, accuracy, quality, and consistency before customer submission

  • Coordinate customer comments, review cycles, revisions, and resubmittals as necessary

  • Maintain document repositories, electronic records, version control, and controlled document libraries

  • Track CDRL status, overdue actions, customer responses, and acceptance metrics

  • Develop dashboards and management reports that communicate program data delivery performance and schedule health

  • Maintain data management plans, document numbering systems, naming conventions, and document retention requirements

  • Ensure configuration-controlled documents are released and maintained in accordance with company Configuration Management and Quality procedures

  • Coordinate document releases with Program and Contract Management and technical authors

  • Support proposal development by reviewing solicitation CDRLs and estimating data management effort

  • Support internal audits, customer audits, DCMA reviews, and quality management assessments

  • Identify process improvement opportunities to streamline document workflows and improve data quality

  • Train program personnel on CDRL processes, document standards, and submission requirements

  • Serve as the primary liaison with Government customers regarding contractual data deliverables

  • Maintain compliance with FAR, DFARS, customer contractual requirements, company policies, and ISO/AS9100 quality standards, as applicable

  • Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas of: project scheduling, configuration management, finance and accounting, contracting, limited data analyses, database development or data gathering, preparation of technical/program reports or briefings, test plans and reports, and associated documentation, test or validation/verification assistance

  • Participate in test or project events as assigned by Project Manager or Engineer, reports status and results

  • Other duties as assigned



  • Bachelor’s Degree in management or other relevant discipline required Business, Information Management, Engineering, Technical Writing, Supply Chain degree tracks desired

  • An additional 5+ years of experience in addition to below requirements may be considered in lieu of a degree


Experience:

  • 5+ years of professional experience in the required task area to include Data Management, Configuration Management, Document Control, or CDRL management within a DoD or aerospace environment

  • Required:

    • Experience managing CDRLs, DIDs, SDRLs, and contractual data deliverables

    • Knowledge of FAR, DFARS, DoD acquisition documentation, and government contracting practices

    • Experience interpreting contract requirements and Statements of Work

    • Proficiency with Microsoft Office Suite, SharePoint, Adobe Acrobat, and document management systems

    • Strong organizational, analytical, and communication skills

    • Ability to manage multiple priorities while meeting strict contractual deadlines



  • Preferred

    • Experience with Product Lifecycle Management (PLM) and document management system

    • Knowledge of Configuration Management principles

    • Experience supporting DCMA, DCAA, or government customer audits




Security:

  • Must be a US citizen

  • Ability to obtain a security clearance required


Physical Requirements:

  • Able to occasionally reach with hands and arms

  • Prolonged periods of computer screen use, while sitting or standing at a desk

  • Adhere to safety protocols when in work areas requiring use of PPE (e.g. eyewear, gloves, masks, hearing protection, steel toed shoes, etc.)

  • Able to safely lift and carry up to 20 pounds at a time



  • Health Care Plan (Medical, Dental & Vision)

  • Retirement Plan (401k, IRA)

  • Life Insurance (Basic, Voluntary & AD&D)

  • Paid Time Off (Vacation, Sick & Public Holidays)

  • Short Term & Long Term Disability

  • Training & Development

  • Wellness Resources


Salary:

The projected salary range for this position is $60,000-$80,000. This is not a guarantee of compensation, rather actual salary will be based on experience, qualifications, and applicable certifications or degrees held. Offered salary may fall outside of this range.

#J-18808-Ljbffr

What Kihomac employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom