AI Data Engineer Visa Sponsorship Jobs in Utah
Utah's AI data engineer market is anchored by technology employers in Salt Lake City and Lehi's Silicon Slopes corridor, where companies like Adobe, Qualtrics, and Domo have established significant engineering teams. The state's growing startup ecosystem and proximity to major university research programs make it an active market for visa-sponsored AI data engineering roles.
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INTRODUCTION
Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients, and colleagues with the best experience possible for over 150 years. Help us transform our workforce of the future, today.
ROLE AND RESPONSIBILITIES
As a Data Engineer on the AI Platform team, you will design, build, and maintain data pipelines, integrations, and models that power our GCP-based AI platform. You’ll work closely with engineering, data science, and AI teams to ensure data is accessible, reliable, and secure for advanced analytics and machine learning workloads.
As an AI Platform Data Engineer, you will have the opportunity to:
- Develop, maintain, and optimize data pipelines and ETL/ELT processes using GCP services
- Integrate diverse internal and external data sources to support AI and analytics use cases
- Implement data quality, validation, and monitoring processes to ensure accuracy and reliability
- Collaborate with AI engineers, data scientists, and platform users to enable seamless access to training, inference, and production datasets
- Support metadata management, data cataloging, and documentation for platform users
- Ensure data governance and compliance with industry standards and regulations through robust security practices and techniques
- Participate in evaluating new data engineering technologies and best practices for GCP
- Contribute production-ready code for data services and integrations (primarily Python and SQL)
- Support MLOps workflows and job scheduling for machine learning and AI applications
- Design and implement scalable data models across diverse storage paradigms (e.g., data lakes, lakehouses, and data warehouses), enabling efficient data processing, analytics, and machine learning workflows
BASIC QUALIFICATIONS
- 4 years of experience in data engineering, with hands-on work designing and maintaining data pipelines and integrations on cloud platforms
- Bachelor's degree in Computer Science, Computer Engineering or related field. A combination of education and experience may meet qualifications
- Demonstrated expertise in distributed systems and advanced programming: Developed production-grade solutions in Python and/or PySpark, leveraging performance optimization techniques such as partitioning, caching, parallelism, and efficient data formats
- Optimized cloud infrastructure for cost and performance: Led cost-efficient Spark workload strategies by right-sizing clusters (e.g., on-demand drivers, spot/preemptible workers), enabling autoscaling and auto-termination, and utilizing job compute, serverless clusters, cluster pools, tagging, and budget controls
- Familiarity with orchestration frameworks (e.g., Airflow, Databricks Workflows, Control-M) for scheduling and managing data workflows
- Extensive expertise in managing both cloud and on-premises environments, with strong focus on seamless data and file movement between cloud and on-premises systems to ensure efficient and secure data integration
- Knowledge of data quality, validation, and monitoring best practices
- Experience with GCP Vertex AI or other agent building platforms/services
- Understanding of data security, privacy, and compliance in a cloud environment
- Excellent communication and collaboration skills, with experience working alongside AI engineers and data scientists
LOCATION
This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT. The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company’s primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:
- Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station
- At least 75% of the building is powered by on-site renewable solar energy
- Access to outdoor recreation, parks, trails, shareable bikes and locker rooms
- Large modern cafe with a healthy and diverse menu
- Healthy indoor environment with ample natural light and fresh air
- LEED-certified sustainable building that features include the use of low VOC-emitting construction materials
BENEFITS
- Medical, Dental and Vision Insurance - START DAY ONE!
- Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
- Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
- Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
- 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
- Mental health benefits including coaching and therapy sessions
- Tuition Reimbursement for qualifying employees
- Employee Ambassador preferred banking products
Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.

INTRODUCTION
Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients, and colleagues with the best experience possible for over 150 years. Help us transform our workforce of the future, today.
ROLE AND RESPONSIBILITIES
As a Data Engineer on the AI Platform team, you will design, build, and maintain data pipelines, integrations, and models that power our GCP-based AI platform. You’ll work closely with engineering, data science, and AI teams to ensure data is accessible, reliable, and secure for advanced analytics and machine learning workloads.
As an AI Platform Data Engineer, you will have the opportunity to:
- Develop, maintain, and optimize data pipelines and ETL/ELT processes using GCP services
- Integrate diverse internal and external data sources to support AI and analytics use cases
- Implement data quality, validation, and monitoring processes to ensure accuracy and reliability
- Collaborate with AI engineers, data scientists, and platform users to enable seamless access to training, inference, and production datasets
- Support metadata management, data cataloging, and documentation for platform users
- Ensure data governance and compliance with industry standards and regulations through robust security practices and techniques
- Participate in evaluating new data engineering technologies and best practices for GCP
- Contribute production-ready code for data services and integrations (primarily Python and SQL)
- Support MLOps workflows and job scheduling for machine learning and AI applications
- Design and implement scalable data models across diverse storage paradigms (e.g., data lakes, lakehouses, and data warehouses), enabling efficient data processing, analytics, and machine learning workflows
BASIC QUALIFICATIONS
- 4 years of experience in data engineering, with hands-on work designing and maintaining data pipelines and integrations on cloud platforms
- Bachelor's degree in Computer Science, Computer Engineering or related field. A combination of education and experience may meet qualifications
- Demonstrated expertise in distributed systems and advanced programming: Developed production-grade solutions in Python and/or PySpark, leveraging performance optimization techniques such as partitioning, caching, parallelism, and efficient data formats
- Optimized cloud infrastructure for cost and performance: Led cost-efficient Spark workload strategies by right-sizing clusters (e.g., on-demand drivers, spot/preemptible workers), enabling autoscaling and auto-termination, and utilizing job compute, serverless clusters, cluster pools, tagging, and budget controls
- Familiarity with orchestration frameworks (e.g., Airflow, Databricks Workflows, Control-M) for scheduling and managing data workflows
- Extensive expertise in managing both cloud and on-premises environments, with strong focus on seamless data and file movement between cloud and on-premises systems to ensure efficient and secure data integration
- Knowledge of data quality, validation, and monitoring best practices
- Experience with GCP Vertex AI or other agent building platforms/services
- Understanding of data security, privacy, and compliance in a cloud environment
- Excellent communication and collaboration skills, with experience working alongside AI engineers and data scientists
LOCATION
This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT. The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company’s primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:
- Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station
- At least 75% of the building is powered by on-site renewable solar energy
- Access to outdoor recreation, parks, trails, shareable bikes and locker rooms
- Large modern cafe with a healthy and diverse menu
- Healthy indoor environment with ample natural light and fresh air
- LEED-certified sustainable building that features include the use of low VOC-emitting construction materials
BENEFITS
- Medical, Dental and Vision Insurance - START DAY ONE!
- Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
- Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
- Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
- 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
- Mental health benefits including coaching and therapy sessions
- Tuition Reimbursement for qualifying employees
- Employee Ambassador preferred banking products
Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.
AI Data Engineer Job Roles in Utah
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Search AI Data Engineer Jobs in UtahAI Data Engineer Jobs in Utah: Frequently Asked Questions
Which companies in Utah sponsor visas for AI data engineers?
Several established technology employers in Utah have a track record of H-1B sponsorship for engineering roles. Adobe, Qualtrics, Domo, and Pluralsight are among the larger tech employers in the Salt Lake City and Lehi area that have filed Labor Condition Applications for data and AI engineering positions. Healthcare technology and financial services firms in the region also hire for these roles and have sponsored work visas.
Which visa types are most common for AI data engineer roles in Utah?
The H-1B is the most common visa category for AI data engineers in Utah, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, data science, or a related field. Candidates with a master's degree may be eligible for the H-1B advanced degree exemption, which offers a better chance in the annual lottery. O-1A visas are an option for engineers with documented extraordinary ability, though the evidentiary bar is high.
How to find ai data engineer visa sponsorship jobs in Utah?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse AI data engineer roles in Utah without manually screening hundreds of postings. You can search by state and role type to surface positions at employers who have indicated willingness to sponsor. This is especially useful in Utah's Silicon Slopes corridor, where sponsorship practices vary significantly between early-stage startups and established technology companies.
Which cities in Utah have the most AI data engineer sponsorship jobs?
The majority of AI data engineer sponsorship opportunities in Utah are concentrated in Salt Lake City and Lehi, the two anchors of the Silicon Slopes technology corridor. Provo and Orem also have a notable presence due to their proximity to Brigham Young University and Utah Valley University, which support local technology hiring pipelines. Park City and Ogden have a smaller but growing number of remote-friendly tech employers.
Are there any Utah-specific factors that affect visa sponsorship for AI data engineers?
Utah's technology sector is heavily influenced by the Silicon Slopes ecosystem, which includes a mix of well-funded startups and established software companies. Startups at early stages may be less experienced with visa sponsorship processes, so it is worth confirming sponsorship capability before advancing far in an interview process. The University of Utah's data science and computer engineering programs also create a pipeline that some employers draw from when considering international candidates already in the state on student visas.
What is the prevailing wage for sponsored ai data engineer jobs in Utah?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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