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Data Engineer Jobs in Midvale, UT (NOW HIRING)

Packsize International LLC

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

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 ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

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 ...

KēSTA I.T.

Data Engineer

Draper, UT · On-site

$100K - $114K/yr

T. is actively seeking a Data Engineer for an immediate full-time opportunity with our industry leading client. Are you on the lookout for a unique career opportunity that offers leadership ...

AutoSavvy

Data Engineer

Woods Cross, UT

$108K - $129K/yr

Data Engineer (Mid-Level) Utah (Local Required) Overview AutoSavvy is a fast-growing automotive retailer focused on providing high-quality, branded title vehicles at competitive prices nationwide. We ...

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Data Engineer (Mid-Level) Utah (Local Required) Overview AutoSavvy is a fast-growing automotive retailer focused on providing high-quality, branded title vehicles at competitive prices nationwide. We ...

Red Cat Holdings

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Red Cat Holdings is seeking a Data Engineer to build their data foundation from the ground up. The role involves creating ETL/ELT pipelines, setting up a cloud data warehouse, and collaborating with ...

Neighbor

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Neighbor

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

Neighbor

Data Engineer

Lehi, UT

$107K - $129K/yr

As a Data Engineer , you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable ...

ZimZee Recruiting

Be Seen First

Data Engineer

Lehi, UT · On-site

$90K - $120K/yr

ZimZee Recruiting is looking for a Data Engineer to join our medical device client in Lehi focused on building reliable data infrastructure and supporting machine learning workflows in production.

RED CAT HOLDINGS

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Position Summary We're hiring a Data Engineer to build our data foundation from the ground up. Today, our data lives across transactional databases, SaaS tools, and external APIs. Over the next few ...

Bespoke Labs

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/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 ...

Bespoke Labs

Data Engineer

West Jordan, UT · On-site

$106K - $128K/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 ...

Headlight

Data Engineer

Salt Lake City, UT

$150K - $165K/yr

Write and maintain version-controlled code in the GitHub repository Required Qualifications * 3+ years of data engineering experience in a production environment * Strong SQL skills: complex stored ...

Headlight

Data Engineer

Salt Lake City, UT · On-site

$150K - $165K/yr

Write and maintain version-controlled code in the GitHub repository Required Qualifications * 3+ years of data engineering experience in a production environment * Strong SQL skills: complex stored ...

Pwc

Data Engineer - Manager

Salt Lake City, UT

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 ...

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 ...

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/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 ...

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All JobsData Engineer JobsData Engineer Jobs in Midvale, UT

Data Engineer information

See Midvale, UT salary details

$42K

$122.3K

$167.4K

How much do data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data engineer in Midvale, UT is $122,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $129,700.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations 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 ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Midvale, UT? The most popular types of Data Engineer jobs in Midvale, UT are:
What are popular job titles related to Data Engineer jobs in Midvale, UT? For Data Engineer jobs in Midvale, UT, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Midvale, UT look for? The top searched job categories for Data Engineer jobs in Midvale, UT are:
What cities near Midvale, UT are hiring for Data Engineer jobs? Cities near Midvale, UT with the most Data Engineer job openings:
Data Engineer jobs near you
Data Engineer

Data Engineer

Packsize International LLC

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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.

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