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Data Engineer Jobs in Roy, UT (NOW HIRING)

Nicholas & Company Inc

Data Engineer

Salt Lake City, UT · On-site

$109K - $131K/yr

Data Engineer We are seeking a high skilled and motivated Sr. Data Engineer to join our team. The successful candidate will play a crucial role in building and maintaining our data infrastructure and ...

Bespoke Labs

Data Engineer

Ogden, UT · On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Krux Analytics Inc.

Data Architect

Salt Lake City, UT · On-site +1

$61.25 - $78.75/hr

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+years of experienceas a data analyticsdeveloperor engineer * 5+ years of experience in developing dataarchitecture ...

Krux Analytics

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of experience as a data analytics developer or engineer * 5+ years of experience in developing data ...

Krux Analytics

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of experience as a data analytics developer or engineer * 5+ years of experience in developing data ...

Krux Analytics

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Bachelors Degree (Computer Science, Technology, Engineering, or related field) * 10+years of experienceas a data analyticsdeveloperor engineer * 5+ years of experience in developing dataarchitecture ...

L3HHCM20

Lead, Data Architect

Salt Lake City, UT

Work closely with data scientists, data engineers, and IT partners to ensure successful implementation of AI/ML solutions. * Communicate technical concepts, solution options, and expected outcomes to ...

Exiger

Forward Deployed Engineer

South Ogden, UT · Hybrid

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 ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT

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 ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

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 ...

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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 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.

Data Engineer

Nicholas & Company Inc

Salt Lake City, UT • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Nicholas and Company rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

164th of 416 rated retail wholesalers

Job description

Data Engineer

We are seeking a high skilled and motivated Sr. Data Engineer to join our team. The successful candidate will play a crucial role in building and maintaining our data infrastructure and analytics capabilities. You will work collaboratively with our data science and business intelligence teams to ensure the efficient flow and quality of data across our systems.

Apply at: http://www.nicholasandco.com/join-our-team

Schedule: Monday-Friday 8:00 AM-5:00 PM. This is a salaried position schedule may change due to business demands

Pay: Based on experience

Responsibilities:

  • ETL Development:
    • Design, develop, and maintain robust ETL processes for extracting, transforming, and loading data from various data sources to our data warehouse.
  • Data Analysis & Modeling:
    • Collaborate with data analysts and stakeholders to understand data requirements and build efficient data models.
  • Data Pipeline Management:
    • Develop and optimize scalable data pipelines to handle large volumes of data efficiently using Spark and other big data technologies.
  • Data Integration:
    • Utilize tools like HVR and Matillion to integrate data from diverse sources, ensuring data integrity and availability.
  • Data Visualization:
    • Create and maintain dashboards and reports using PowerBI and Looker to support business decision-making.
  • Data Warehousing:
    • Manage and optimize data storage solutions on platforms like Amazon Redshift to enable efficient querying and data analysis.
  • Collaboration:
    • Work with cross-functional teams, including data science, software engineering, and business intelligence, to deliver comprehensive data solutions.
  • Machine Learning Support:
    • Collaborate on the development and deployment of machine learning models, ensuring proper data preprocessing and management.
  • Code Versioning:
    • Use Git for code versioning and collaboration on data projects.

Required:

  • Master’s degree in Information Systems, Computer Science, Data Science, or a related field.
  • At least 5 years of experience as a Data Engineer or in a similar data-focused role.
  • Previous hands-on experience with Amazon Redshift.
  • Previous experience in Python for data processing and analysis.
  • Previous experience in developing ETL workflows and data pipelines.
  • Previous experience working in Agile environment is a plus.
  • Ability to be familiar with Spark for data processing.
  • Ability to work independently and part of a team as well.
  • Ability to have strong communication and collaboration skills.
  • Ability to be proficient with Git for version control and collaboration.
  • Ability to have strong problem-solving skills with an analytical mindset.
  • Ability to have high attention to detail and a commitment to data quality.
  • Ability to be proficient in Power BI and Looker for building impactful dashboards.
  • Ability to understand machine learning concepts and the ability to work ML models.
  • Working knowledge of HVR and Matillion for data integration.
  • Working knowledge of querying, analysis, and database management.

About us

Since 1939, our family has delivered quality and integrity—in our business, our products, and our relationships. Founded by Nicholas Mouskondis over 80 years ago, Nicholas and Company are third-generation family owned and operated. With both our family and our business rooted in the community, we’re the local choice for foodservice.

https://www.nicholasandco.com/about-us/

What we offer

  • Competitive compensation package and generous Health benefits (Medical, dental and vision)
  • 401K profit-sharing plan
  • HSA with employer contributions
  • Wellness program with premium incentives
  • Tuition reimbursement up to $4,000 per calendar year
  • Driven work environment that recognizes, respects, and appreciates results.

Must be able to perform essential duties and responsibilities efficiently, accurately, and safely with or without accommodation. Must comply with all company policies and procedures, as well as, state, federal and safety regulations.




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