1

Data Engineering Jobs in Utah (NOW HIRING)

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

What We're Looking For (Required) * 5-10 years of experience in data engineering with a proven ability to build and maintain scalable data pipelines and ETL/ELT processes. * Hands‑on experience ...

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

What We're Looking For (Required) * 5-10 years of experience in data engineering with a proven ability to build and maintain scalable data pipelines and ETL/ELT processes. * Hands-on experience with ...

We are seeking applicants with strong SQL knowledge, practical data engineering experience, and the communication skills to connect technical solutions with business needs. What you will be doing:

You'll be a senior technical owner on our Data Operations & Enablement team, designing and ... Define and codify simple, stable, repeatable engineering standards and patterns adopted by the ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Improve engineering efficiency through automation, reusable components, and standard development patterns * Participate in platform optimization and modernization initiatives Data Governance ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Improve engineering efficiency through automation, reusable components, and standard development patterns * Participate in platform optimization and modernization initiatives Data Governance ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

This role reports directly to the Director of Data Engineering. * You will be joining a growing ... team of data professionals that span multiple geographies. * In this role, you will collaborate ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

This role reports directly to the Director of Data Engineering. * You will be joining a growing ... team of data professionals that span multiple geographies. * In this role, you will collaborate ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

This role reports directly to the Director of Data Engineering. * You will be joining a growing ... team of data professionals that span multiple geographies. * In this role, you will collaborate ...

Software Engineer, Data

Lehi, UT · On-site

$140 - $180/hr

You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states. You'll join our data & analytics team ...

Showing results 21-40

Data Engineering information

See Utah salary details

$41.9K

$150.2K

$221.7K

How much do data engineering jobs pay per year?

As of Sep 6, 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.

What is data engineering?

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.

What does a data engineer do?

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 skills and qualifications are needed to thrive as a data engineer?

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.

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 need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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 cities in Utah are hiring for Data Engineering jobs?

Cities in Utah with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $150,228 per year, or $72.2 per hour.

$107K - $128K/yr

Full-time

Re-posted 16 days ago


Job description

Job Title: Data Engineer
Reports to: N/A
About the Role
The Data Engineer designs, builds, and optimizes Sunwest Bank’s Azure‑based data infrastructure to support advanced analytics, AI‑driven workflows, and enterprise reporting. This role focuses on developing secure, scalable, and high‑performance data pipelines across Microsoft Azure services, including Blob Storage, Microsoft Fabric, and OneLake. The Data Engineer plays a critical role in enabling AI‑powered document processing by orchestrating ingestion, tagging, extraction, and integration of structured and unstructured data.
Work Details
Schedule: Monday – Friday
Work Location: Onsite
Travel: None
What You’ll Do
  • Design and optimize Sunwest Bank’s enterprise data architecture using Microsoft Azure technologies.
  • Build and maintain scalable data pipelines across Azure Blob Storage, Microsoft Fabric, and OneLake.
  • Develop orchestration engines to manage document ingestion, tagging, chunking, and processing workflows.
  • Implement automated data‑extraction pipelines to derive structured insights from documents.
  • Integrate AI/ML services with databases to combine extracted document insights with operational and enterprise data.
  • Ensure data pipelines are secure, efficient, resilient, and optimized for AI‑driven applications.
  • Support enterprise analytics and reporting initiatives through well‑structured data models and lakehouse architecture.
What We’re Looking For
(Required)
  • 5–10 years of experience in data engineering with a proven ability to build and maintain scalable data pipelines and ETL/ELT processes.
  • Hands‑on experience with Microsoft Azure services, particularly Blob Storage, Microsoft Fabric, and OneLake (or similar lakehouse platforms).
  • Strong development skills using Python, PySpark, and SQL.
  • Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks, or Apache Spark.
  • Experience integrating AI/ML services (e.g., OCR, NLP, Azure Cognitive Services) for document processing and insight extraction.
  • Strong knowledge of relational and NoSQL databases, including schema design and performance optimization.
(Nice to Have)
  • Direct experience with Microsoft Fabric and OneLake; familiarity with Azure Synapse or Snowflake is beneficial.
  • Background in unstructured document processing (PDFs, images, text) using OCR and text‑extraction tools.
  • Understanding of NLP or AI/ML techniques for document classification and entity extraction.
  • Experience with data governance, metadata management, and security controls—particularly in regulated environments.
  • Comfort collaborating with data scientists and engineers to deploy AI models; familiarity with Agile methodologies and version control tools.
Why You’ll Love Working Here
  • Team Culture
  • Growth Opportunities
  • Benefits or Perks
Physical Demands:
In general, the following physical demands are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.
☐Sedentary: Limited activity, no lifting, limited walking
☐Moderate: Mostly standing, walking, bending, frequent lifting
☐Light: Office work, some lifting, bending, stooping or kneeling, walking
☐Arduous: Heavy lifting, bending, crawling, climbing
The Fine Print
This job description reflects the general nature of the role and may change as business needs evolve. We are an equal opportunity employer. Sunwest Bank works with staff members and customers without regard to race, ancestry, national origin, sex, marital status, age, religion, medical condition, handicap, disability or veteran status and to assist the Bank in maintaining its Affirmative Action Program.
Compliance with Bank Secrecy Act laws and regulations is considered an extremely serious matter, and it is intended that Sunwest Bank, through the purposeful efforts of its employees and officers, are expected to make every resolute attempt to conform to its Bank Secrecy Act Program and Procedures. Failure to comply will be reflected in their performance review as well as in any bonus compensation programs in which they may participate.
Attend and complete all required classroom, computer-based, web-based and seminar training. It is the individual responsibility of every employee to maintain a current awareness and understanding of and to fully comply with Sunwest Bank’s “Code of Ethics and Conduct.” Each employee is also expected to maintain an awareness of the laws, regulations, internal policies and procedures that are appropriate for his/her position.
Note: The preceding job description has been designed to indicate the general nature and level and work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. All job descriptions can be amended without notice as warranted by business necessity.
Federal Deposit Insurance Act This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on Sunwest Bank’s review of criminal conviction history, including pretrial diversions or program entries.