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Data Engineer Jobs in Roy, UT (NOW HIRING)

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global Are you ready to start a career where your talents are recognized, your growth is supported, and ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global Are you ready to start a career where your talents are recognized, your growth is supported, and ...

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 own ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

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 5, 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/Ai Engineer Intern

Jade Global

Ogden, UT • On-site

Full-time

Re-posted 23 days ago


Job description

Data/Ai Engineer Intern1
Data/AI Engineer in the Data & Ai Team
Launch Your Career with Jade Global
Are you ready to start a career where your talents are recognized, your growth is supported, and your work truly matters?
At Jade Global, we're looking for recent graduates with strong potential, curiosity, and drive. While prior experience in technology is a plus, it's not required - what matters most is your motivation to learn, grow, and make an impact. We take a personalized approach to hiring, placing greater weight on who you are and what excites you, not just your GPA.
You'll be joining a team of 1,000+ experienced business and technology professionals who are invested in your success. From day one, you'll receive hands-on coaching, mentorship, and a fast-track, individualized career path designed to help you thrive over the next 3-5 years.
This is not an internship - it's a full-time opportunity with a competitive salary, full benefits, and generous performance-based compensation. You'll be working with some of the most innovative and high-growth companies in Silicon Valley and beyond.
We're seeking the next generation of leaders, problem-solvers, and innovators from top universities around the world - people who are passionate about technology, eager to take ownership, and committed to excellence.
Ready to build your future with us? Let's get started.
Responsibilities include:
  • Collecting and documenting business analytics requirements
  • Analyzing complex data using AI tools and frameworks
  • Exploring the use of LLMs, computer vision, and generative AI to address client business challenges
  • Data collection, preparation, and analysis.
  • Model development and testing.
  • Authoring technical documentation.
  • Presenting solutions to key stakeholders.

Candidate Profile:
  • Bachelor's degree in Computer Science, Data Science, AI/ML, or related field
  • Strong Python programming skills
  • Understanding of ML algorithms like linear regression, classification, clustering, etc.
  • Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch
  • Good understanding of data structures and algorithm
  • Desire to learn
  • Strong analytical thinking and problem-solving and analytical skills.
  • Independent person able to manage self and activities within a schedule
  • Able to facilitate conversations and drive decisions
  • Passionate
  • Creative thinker
  • Takes initiative and ownership
  • Strong team player
  • Strong communicator
  • Interest in learning and growing both technically and as a person
  • Exposure to NLP, Computer Vision, or Generative AI is a plus
  • Experience with Jupyter Notebooks and Git is a plus
  • Knowledge of SQL and cloud platforms (AWS, Azure, GCP) is a plus

What You'll Gain:
  • Mentoring and learning from AI/ML professionals
  • Collaborative and innovation-driven environment
  • Strong understanding of business analytic needs
  • Ability to translate customer requirements into visible results through leading edge technology
  • Deep understanding of proven analytics and AI tools
  • Career growth opportunities within the Data & AI team