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Data Engineer Jobs in Bountiful, UT (NOW HIRING)

Deloitte

Data Engineer II

Salt Lake City, UT · On-site

$110K - $133K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Illumination-Works-LL

Data Engineer/Analyst

Layton, UT · On-site

$90 - $120/hr

Hybrid Onsite 2-3 days a week at Hill Air Force Base (Ogden, UT) Illumination Works is looking for a Data Analyst/Engineer to join our dynamic team at Hill Air Force Base, Utah, where we specialize ...

ParetoHealth

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

The Senior Data Engineer will design, build, and maintain serverless data pipelines and data models on AWS that make high-quality, analytics-ready data available to our AI and Analytics teams. This ...

Deegit Inc

Senior Big Data Engineer

Salt Lake City, UT · On-site

$54 - $71.25/hr

Responsibilities • Participate in the engineering and administration of big data systems. • Apache Storm/Java development for both data transformation and augmentation. • Employ best practices ...

Arturo

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Strong ETL Experience (especially in extraction and ingestion of 3rd party data) Nice-to-haves: * Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key ...

PCC Ltd

Staff Data Engineer

Salt Lake City, UT · On-site

The data piles up in apps nobody reads between visits, and by the time anyone looks, the window has closed.Metabody closes the loop. We unify every signal -- wearables, labs, records -- into one ...

Atlassian

Senior Data Engineer, DX

Salt Lake City, UT · On-site

$139 - $219/hr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more . Our business has scaled ...

Atlassian

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Atlassian

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Atlassian

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

DX collects millions of data points daily, powering insights into developer productivity and experience at companies like Pinterest, GitHub, BNY, Xero, and many more. Our business has scaled ...

Pwc

Data Strategy-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Bountiful, UT

Data Engineer information

See Bountiful, UT salary details

$41.9K

$122.3K

$167.3K

How much do data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer in Bountiful, UT is $122,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $129,600.00 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.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Bountiful, UT?

The most popular types of Data Engineer jobs in Bountiful, UT are:

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For Data Engineer jobs in Bountiful, UT, the most frequently searched job titles are:

What cities near Bountiful, UT are hiring for Data Engineer jobs?

Cities near Bountiful, UT with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Bountiful, UT as of August 2026, with employment types broken down into 86% Full Time, 7% Temporary, and 7% Contract. Highlights an 74% In-person, 7% Hybrid, and 19% Remote job distribution, with an average salary of $122,280 per year, or $58.8 per hour.

Power BI / Data Engineer

Inficare Technologies

Salt Lake City, UT • On-site

Full-time

Posted 14 days ago

Job description

Job Title: Power BI / Data Engineer
Location: Salt Lake City, UT
Job Type: Contract
Experience: 5+ years
Job Overview
Our client is seeking an experienced Power BI Engineer with strong Data Engineering skills to design, develop, and maintain scalable business intelligence and data solutions. This role partners with business stakeholders, analysts, and technology teams to transform complex data into reliable, governed, and actionable insights.
Key Responsibilities
  • Design, develop, and maintain enterprise-grade Power BI dashboards, reports, and semantic models
  • Build advanced calculations and business logic using DAX; transform and cleanse data using Power Query / M
  • Design star and snowflake schemas, dimensional models, and reusable semantic layers
  • Implement Row-Level Security and configure DirectQuery, composite models, and incremental refresh
  • Build and maintain scalable ETL/ELT data pipelines integrating structured and semi-structured data
  • Develop complex, performance-optimized SQL queries, stored procedures, and transformation logic
  • Build and maintain data warehouse, data lake, and lakehouse solutions
  • Implement CI/CD and version-control practices for BI and data solutions
  • Support data governance, metadata management, lineage, and data-quality initiatives
Required Skills
  • Microsoft Power BI (advanced)
  • DAX, Power Query / M, SQL
  • Dimensional modeling, star/snowflake schemas
  • ETL/ELT pipeline design and development
  • Data warehousing, data lake, and lakehouse architectures
  • Python, PySpark
  • Microsoft Azure (preferred cloud platform)
  • Git / version control, CI/CD concepts
Preferred Skills
  • Experience with large-scale dataset optimization
  • Knowledge of data governance and metadata management frameworks
Location & Work Model
Phoenix, AZ or Salt Lake City, UT
Engagement Details
Contract engagement. Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience) required.

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