ZipRecruiter

Log In

1

Data Engineering Jobs in Utah (NOW HIRING)

Packsize International LLC

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Ensure best-in-class implementation of data engineering solutions, focusing on performance, scalability, and maintainability. * Contribute to the development and maintenance of data warehouses, data ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Ensure best-in-class implementation of data engineering solutions, focusing on performance, scalability, and maintainability. * Contribute to the development and maintenance of data warehouses, data ...

Crumbl

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... data engineering • Stay current with emerging technologies and trends in data engineering and data science, and identify opportunities to leverage them within the organization Qualifications

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

You will be the first dedicated data engineering hire, helping define how data systems are built, maintained, and scaled across the organization, working directly with the technical lead responsible ...

AutoSavvy

Data Engineer

Woods Cross, UT

$108K - $129K/yr

You will be the first dedicated data engineering hire, helping define how data systems are built, maintained, and scaled across the organization, working directly with the technical lead responsible ...

Robert Half

Sr Data Engineer

Salt Lake City, UT · On-site

$140K - $160K/yr

... engineering solutions. • Create and manage data transformation logic using dbt to improve testing, documentation, and deployment consistency. • Support cloud-based data platforms in an AWS ...

Crumbl

Data Engineer

Provo, UT

$108K - $130K/yr

Strong Python for data engineering (modular, testable pipeline code) * Hands-on dbt experience: models, tests, macros, and incremental materializations * Production Snowflake experience: schema ...

Crumbl

Data Engineer

Provo, UT

$108K - $130K/yr

Strong Python for data engineering (modular, testable pipeline code) * Hands-on dbt experience: models, tests, macros, and incremental materializations * Production Snowflake experience: schema ...

Crumbl

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Strong Python for data engineering (modular, testable pipeline code) * Hands-on dbt experience: models, tests, macros, and incremental materializations * Production Snowflake experience: schema ...

RC Willey

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Required : • Bachelor's degree (or higher) in Computer Science, Information Technology, or related field • 3+ years of technical and relevant data engineering experience • Expert SQL skills ...

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

RED CAT HOLDINGS

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Bachelor's degree in computer science, data engineering, information systems, or equivalent technical degree. * 3+ years of data engineering experience, specifically in managing a data warehouse.

RC Willey Home Furnishings

Data Engineer

Salt Lake City, UT · On-site +1

$90K - $120K/yr

Bachelor's degree (or higher) in Computer Science, Information Technology, or related field, required * 3+ years of technical and relevant data engineering experience * Expert SQL skills, including ...

Atonom

Data Engineer

Provo, UT · On-site

Share product feedback with Engineering and Product teams, including data handling limitations, schema gaps, and integration pain points. WHO YOU ARE * Recent graduate (or soon to be) in Computer ...

Atonom

Data Engineer

Provo, UT

$109K - $131K/yr

Share product feedback with Engineering and Product teams, including data handling limitations, schema gaps, and integration pain points. WHO YOU ARE * Recent graduate (or soon to be) in Computer ...

next page

Showing results 1-20

All JobsData Engineering JobsData Engineering Jobs in Utah

Data Engineering information

See Utah salary details

$41.9K

$150.2K

$221.7K

How much do data engineering jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data engineering in Utah is $150,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $154,800.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Utah? The most popular types of Data Engineering jobs in Utah are:
What are popular job titles related to Data Engineering jobs in Utah? For Data Engineering jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Utah look for? The top searched job categories for Data Engineering jobs in Utah are:
What cities in Utah are hiring for Data Engineering jobs? Cities in Utah with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $150,228 per year, or $72.2 per hour.

Data Engineer

Packsize International LLC

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Job Description:
Job Description:
About Packsize,
Packsize is redefining the way businesses and their customers use and experience packaging around the world. We build the technology, design the right solutions, and automate the processes that propel the industry forward. To us, packaging is much more than a box-it's delivering what's right for our customers, their customers, our people, and the planet.
Job Title: Data Engineer
About the Role:
We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this hands-on technical role, you will collaborate with cross-functional teams to gather requirements, architect scalable data solutions, and implement best-in-class data engineering practices. You will play a key role in advancing our data analytics capabilities, ensuring data is reliable, accessible, and aligned with business objectives.
What You'll do:
  • Design, develop, and maintain scalable data pipelines and architectures to support modern data analytics and integration needs.
  • Build and optimize data models, including advanced dimensional modeling and semantic layer design, to enable efficient querying and reporting.
  • Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high-quality data delivery.
  • Collaborate with business units, analysts, and stakeholders to gather requirements and translate them into technical solutions that drive measurable business value.
  • Ensure best-in-class implementation of data engineering solutions, focusing on performance, scalability, and maintainability.
  • Contribute to the development and maintenance of data warehouses, data lakes, and integration pipelines.
  • Proactively identify and resolve data quality issues, ensuring data integrity and consistency across systems.
  • Work closely with data analysts and other engineers to support data-driven initiatives and deliver actionable insights.
  • Stay current with industry trends and emerging tools to continuously improve data engineering practices.
  • Document technical designs, processes, and solutions to support team collaboration and knowledge sharing.

What You'll Bring:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience in data engineering or related technical roles.
  • 7+ years of experience in data engineering and analytics or data integration.
  • Expertise in modern data analytics, including building and optimizing data pipelines for near-real-time and batch processing.
  • Proven skills in data architecture, with a focus on designing scalable and efficient data systems.
  • Advanced proficiency in SQL for complex querying, optimization, and data transformation.
  • Intermediate proficiency in Python for scripting, automation, and ETL development.
  • Advanced dimensional modeling skills, with experience designing star schemas and semantic layers for analytics.
  • Expertise in building metadata driven pipelines, integrations, and methods for improving maintainability and reducing technical debt.
  • Experience in semantic layer design to support business intelligence tools and self-service analytics.
  • Strong collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
  • Ability to gather requirements and translate them into technical solutions that align with business goals.
  • Self-driven and motivated, with a track record of delivering high-impact results and moving the needle for business value.
  • Experience with modern data platforms (e.g., DOMO, Databricks, Snowflake, Fabric) and tools.
  • Knowledge of data governance, data quality, and data integration best practices is a plus.
  • Professional certifications (e.g., Azure Data Engineer, AWS Certified Data Engineer, Google Cloud Professional Data Engineer) are a plus.

Working Environment and Physical Demands:
  • Hybrid or onsite work environment preferred, with remote consideration based on candidate qualifications and company policy.
  • Occasional travel may be required for meetings and conferences.

What We Offer
Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills.
If this role excites you but you don't meet each requirement listed, we encourage you to apply anyway. At Packsize, we welcome applicants of all backgrounds and experiences and understand that the best candidates may come from the most unlikely of places.
Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities
Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills. At Packsize, we're committed to supporting the health, well-being, and financial security of our team members. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; a 401(k) retirement plan; Paid Time Off; Health Savings and Flexible Spending Accounts (HSA/FSA); and life and disability insurance. Additional voluntary benefits include critical illness, hospital indemnity, accident, and legal/ID theft protection. We also provide access to an Employee Assistance Program (EAP) to support your overall well-being.
Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities.

Apply