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Refinery Process Engineer Jobs in Utah (NOW HIRING)

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

... refine data pipelines, and harness emerging AI technologies such as ChatGPT and OpenAI APIs. This ... Implement, monitor, and improve model training processes, including domain-specific custom training

... refine data pipelines, and harness emerging AI technologies such as ChatGPT and OpenAI APIs. This ... Implement, monitor, and improve model training processes, including domain-specific custom training

... refine AI-assisted development and operational workflows • Improve database testing, CI/CD ... processes, and deployment reliability Qualifications : Required : • Have strong experience ...

UT

$90K - $130K/yr

Bachelor's degree in Metallurgical, Chemical or Mineral Processing Engineering. Preferred Education ... refining. * Proficiency in laboratory techniques, data analysis, and experimental design.

... review processes * Collaborate in Agile teams to refine requirements, estimate tasks, and ... Apply prompt engineering techniques to maximize effectiveness of AI coding tools for your specific ...

UT · Hybrid

$115K - $145K/yr

As a Senior Mechanical Engineer at Eichleay, your strong proficiency in process piping, fixed ... Lead a team of mechanical engineers for refinery and industrial clients, and perform lead tasks ...

... refine AI-assisted development and operational workflows • Improve database testing, CI/CD ... processes, and deployment reliability Qualifications : Required : • Have strong experience ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

... Refine data base designs and data structure for efficiency in models • Analyze key metrics and ... processes • Experience in data analytics and data visualizations • Strong analytical and ...

Overview JOURNEYMAN ELECTRICAL ENGINEER LOCATION : Hill AFB, Utah JOB STATUS: Full-time CLEARANCE ... Develop and/or refine system features, enhancing, extending, or validating existing processes, data ...

... process control systems while working closely with engineering, maintenance, operations ... refinery, pharmaceutical, or similar process industries. · Hands-on experience with Honeywell ...

Develop and/or refine system features, enhancing, extending, or validating existing processes, data ... Perform independent analysis of engineering change proposals, specifications, and vendor ...

Showing results 41-60

Refinery Process Engineer information

See Utah salary details

$65.1K

$125.1K

$212.1K

How much do refinery process engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for refinery process engineer in Utah is $125,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $134,300.00 per year, depending on experience, location, and employer.

What does a Refinery Process Engineer do?

A Refinery Process Engineer is responsible for designing, optimizing, and troubleshooting processes within an oil refinery to ensure efficiency, safety, and regulatory compliance. They analyze data, monitor equipment performance, and recommend improvements to enhance productivity and reduce costs. Additionally, they work closely with operations, maintenance, and safety teams to implement process modifications and resolve technical issues. Their role is crucial in maximizing yield, minimizing energy consumption, and ensuring environmental compliance.

What are some of the typical day-to-day responsibilities for a Refinery Process Engineer?

As a Refinery Process Engineer, your main responsibilities typically include monitoring and optimizing production processes, troubleshooting technical issues, and ensuring compliance with safety and environmental regulations. You may also be involved in analyzing process data, implementing improvements, and coordinating with operations, maintenance, and other engineering teams to maintain efficient plant performance. Your day could involve both desk work—such as process modeling and reporting—and fieldwork in the refinery, observing equipment and working closely with plant personnel. This blend of tasks helps ensure the refinery operates safely, efficiently, and at peak capacity.

What are the key skills and qualifications needed to thrive in the Refinery Process Engineer position, and why are they important?

To excel as a Refinery Process Engineer, a strong background in chemical engineering, process optimization, and safety protocols is essential, typically supported by a relevant engineering degree. Proficiency with process simulation software (such as Aspen HYSYS or CHEMCAD), knowledge of distributed control systems (DCS), and familiarity with industry certifications like Six Sigma or Professional Engineer (PE) licensure are highly valued. Problem-solving abilities, strong communication, and teamwork skills help professionals navigate dynamic refinery environments and coordinate with cross-functional teams. These competencies are crucial for ensuring efficient, safe, and compliant operations within complex refinery processes.

What are popular job titles related to Refinery Process Engineer jobs in Utah? For Refinery Process Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Refinery Process Engineer jobs in Utah look for? The top searched job categories for Refinery Process Engineer jobs in Utah are:
What cities in Utah are hiring for Refinery Process Engineer jobs? Cities in Utah with the most Refinery Process Engineer job openings:
What are popular job titles related to Refinery Process Engineer jobs in UT? For Refinery Process Engineer jobs in UT, the most frequently searched job titles are:
Infographic showing various Refinery Process Engineer job openings in Utah as of July 2026, with employment types broken down into 9% As Needed, 82% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $125,071 per year, or $60.1 per hour.
AI Engineer

AI Engineer

beatBread

Saint George, UT • On-site

$50K - $90K/yr

Full-time

Posted 24 days ago


Job description

About The Role
As an AI Engineer, you will design, build, and deploy sophisticated AI solutions that drive innovation and strategic impact across the organization. Collaborating closely with cross-functional teams, you will develop and optimize machine learning models, refine data pipelines, and harness emerging AI technologies such as ChatGPT and OpenAI APIs. This role offers the opportunity to shape and implement AI-driven strategies, leveraging your expertise in Python, SQL, Docker, AWS, and custom ML training techniques.
Essential Duties and Responsibilities
  • Lead the end-to-end development, testing, and deployment of AI and ML models
  • Architect and maintain scalable data pipelines using Python, SQL, and AWS services
  • Integrate and fine-tune ChatGPT and OpenAI APIs to meet specific business needs
  • Build and manage containerized environments and workflows with Docker
  • Collaborate with data scientists and engineers to optimize model performance and reliability
  • Implement, monitor, and improve model training processes, including domain-specific custom training
  • Advise on and adopt new AI frameworks and best practices to enhance the organization's AI capabilities
  • Troubleshoot and resolve performance and security issues related to AI systems

Qualifications and Skills
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field, or equivalent experience.
  • 4-8 years of experience in AI engineering, data science, software engineering, software development, or related roles.
  • Proficiency in Python for data manipulation, scripting, and model development
  • Solid understanding of SQL for data querying, management, and optimization
  • Hands-on experience with Docker for containerization and deployment
  • Familiarity with ChatGPT, OpenAI APIs, and other large language models
  • Strong knowledge of machine learning fundamentals (supervised/unsupervised learning, model tuning, evaluation)
  • Experience working with AWS (e.g., S3, EC2, Lambda) for cloud-based solutions
  • Ability to collaborate effectively with cross-functional stakeholders
  • Proven track record of learning and adapting to emerging AI technologies and tools

Physical Requirements
  • Flexible to work additional hours as needed to meet project deadlines.
  • Ability to sit and work at a computer for extended periods.
  • Occasional lifting of equipment or materials may be required, but not exceeding 20 pounds.
  • Ability to communicate effectively in person, over the phone, and through digital channels.