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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As a patient-focused organization, University of Utah Health exists to enhance the health and well-being of people through patient care, research and education. Success in this mission requires a culture of collaboration, excellence, leadership, and respect. University of Utah Health seeks staff that are committed to the values of compassion, collaboration, innovation, responsibility, integrity, quality and trust that are integral to our mission. EO/AA
The Senior Data Scientist partners closely with leadership to solve the organization’s most technically challenging and high-impact problems across clinical and operational domains. They bring deep expertise in the data science lifecycle and healthcare/business context to create impactful solutions. Within the Data Science team, they set technical standards, provide mentorship and rigorous review, and strengthen shared practices to improve the quality and consistency of the team’s work.
Corporate Overview: University of Utah Health is an integrated academic healthcare system with five hospitals including a level 1 trauma center, eleven community health centers, over 1,600 providers, and a health plan serving over 200,000 members. University of Utah Health is nationally ranked and recognized for our academic research, quality standards and overall patient experience. In addition to our clinical delivery system, we have a School of Medicine, School of Dentistry, College of Nursing, College of Pharmacy, and College of Health providing education and training for over 1,250 providers annually. We have over 2 million patient visits annually and research grants exceeding $350 million. University of Utah Hospitals and Clinics represents our clinical operations for the larger health system.
Responsibilities
Essential Functions
- Serve as a team expert in one or more technical domains (e.g., biostatistics, machine learning, NLP) and apply advanced methods to solve complex problems.
- Lead project framing, modeling strategy, experiment design, and deployment planning through independent execution.
- Define and uphold analytic and engineering standards for scalable pipelines, model deployment, monitoring, and lifecycle management in partnership with engineering and IT.
- Implement reproducible, well-structured code in Python/R and SQL, establishing team-wide conventions where appropriate.
- Acquire, clean, transform, validate, and explore data from multiple systems using repeatable processes to identify patterns and anomalies.
- Evaluate and introduce new tools, methods, or approaches when they provide clear value to the team or organization.
- Document data sources, assumptions, analytic steps, methodologies, and limitations with clarity and accuracy.
- Communicate findings and recommendations through concise summaries and presentations tailored to stakeholders.
- Provide mentorship and thought partnership through design reviews and collaborative problem-solving.
- Collaborate with data scientists, analysts, and cross-functional partners to integrate analytic work into operational workflows.
- Follow HIPAA, PHI, and data governance protocols.
- Perform additional work as needed to support team success.
Knowledge / Skills / Abilities
- Mastery of SQL and Python or R.
- Insatiable curiosity.
- Deep understanding of data science methods, with the ability to use or adapt them in novel and rigorous ways.
- Expert knowledge of ML deployment and monitoring best practices.
- Knowledge of nuances of EHR and hospital operations data.
- Ability to clearly explain model results, uncertainty, and analytic rationale to both technical and non-technical partners.
- Strong project leadership skills, including managing multiple ambiguous, technically challenging initiatives and aligning stakeholders.
- Ability to mentor data scientists and analysts, providing guidance on methods and production coding standards.
- Advanced ability to design, review, and validate experimentation and evaluation frameworks.
- Strong judgment in balancing rigor, feasibility, and timeliness in clinical and operational contexts.
- High level of autonomy, accountability, and ownership across a portfolio of work.
- Demonstrated experience leading DS projects from scoping through deployment.
- Commitment to responsible and ethical AI.
Qualifications
Required
- Master's or PhD in Computer Science, Information Systems, Engineering, Math or related field/equivalency.
- Eight years of experience in a data science role.
- Two years of healthcare specific data analytics experience.
- Expertise in one or more sub-domains of data science.
Preferred
- Healthcare data science experience.
- Experience completing end to end Data science projects for executives.
Working Conditions and Physical Demands
Employee must be able to meet the following requirements with or without an accommodation.
This is a sedentary position that may exert up to 10 pounds and may lift, carry, push, pull or otherwise move objects. This position involves sitting most of the time and is not exposed to adverse environmental conditions.
Physical Requirements
Carrying, Climbing, Color Determination, Crawling, Far Vision, Lifting, Listening, Manual Dexterity, Near Vision, Pulling and/or Pushing, Reaching, Sitting, Speaking, Standing, Stooping and Crouching, Tasting or Smelling, Walking
Multi-lingual Candidates Welcomed
To inquire about this posting, email: careers@hsc.utah.edu
EEO Statement
University of Utah Health Hospitals and Clinics, a part of The University of Utah, values candidates who have experience working in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patient populations.
All qualified individuals are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
University of Utah Health Hospitals and Clinics, a part of The University of Utah, is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability, please contact the University of Utah Health Hospitals and Clinics Human Resources office at 801-581-6500. If you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at: www.utah.edu/nondiscrimination/
Online reports may be submitted at eoe.utah.edu/
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Hospitals and Clinics Human Resources at (801) 581-6500 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or Hospitals and Clinics Human Resources at (801) 581-6500 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
Requisition Number 85944
Reg/Temp Regular
Employment Type Full-Time
Shift Day
Work Schedule Monday - Friday 8 am - 5 pm
Clinical/Non-Clinical Status Non-Clinical
Location Name Information Technology Services
Workplace Set Up Hybrid
City SALT LAKE CITY
State UT
Department COR ISC 10P INSIGHT CENTER
Category Information Technology
Workplace Set Up Hybrid
Overview
As a patient-focused organization, University of Utah Health exists to enhance the health and well-being of people through patient care, research and education. Success in this mission requires a culture of collaboration, excellence, leadership, and respect. University of Utah Health seeks staff that are committed to the values of compassion, collaboration, innovation, responsibility, integrity, quality and trust that are integral to our mission. EO/AA
The Senior Data Scientist partners closely with leadership to solve the organization’s most technically challenging and high-impact problems across clinical and operational domains. They bring deep expertise in the data science lifecycle and healthcare/business context to create impactful solutions. Within the Data Science team, they set technical standards, provide mentorship and rigorous review, and strengthen shared practices to improve the quality and consistency of the team’s work.
Corporate Overview: University of Utah Health is an integrated academic healthcare system with five hospitals including a level 1 trauma center, eleven community health centers, over 1,600 providers, and a health plan serving over 200,000 members. University of Utah Health is nationally ranked and recognized for our academic research, quality standards and overall patient experience. In addition to our clinical delivery system, we have a School of Medicine, School of Dentistry, College of Nursing, College of Pharmacy, and College of Health providing education and training for over 1,250 providers annually. We have over 2 million patient visits annually and research grants exceeding $350 million. University of Utah Hospitals and Clinics represents our clinical operations for the larger health system.
Responsibilities
Essential Functions
- Serve as a team expert in one or more technical domains (e.g., biostatistics, machine learning, NLP) and apply advanced methods to solve complex problems.
- Lead project framing, modeling strategy, experiment design, and deployment planning through independent execution.
- Define and uphold analytic and engineering standards for scalable pipelines, model deployment, monitoring, and lifecycle management in partnership with engineering and IT.
- Implement reproducible, well-structured code in Python/R and SQL, establishing team-wide conventions where appropriate.
- Acquire, clean, transform, validate, and explore data from multiple systems using repeatable processes to identify patterns and anomalies.
- Evaluate and introduce new tools, methods, or approaches when they provide clear value to the team or organization.
- Document data sources, assumptions, analytic steps, methodologies, and limitations with clarity and accuracy.
- Communicate findings and recommendations through concise summaries and presentations tailored to stakeholders.
- Provide mentorship and thought partnership through design reviews and collaborative problem-solving.
- Collaborate with data scientists, analysts, and cross-functional partners to integrate analytic work into operational workflows.
- Follow HIPAA, PHI, and data governance protocols.
- Perform additional work as needed to support team success.
Knowledge / Skills / Abilities
- Mastery of SQL and Python or R.
- Insatiable curiosity.
- Deep understanding of data science methods, with the ability to use or adapt them in novel and rigorous ways.
- Expert knowledge of ML deployment and monitoring best practices.
- Knowledge of nuances of EHR and hospital operations data.
- Ability to clearly explain model results, uncertainty, and analytic rationale to both technical and non-technical partners.
- Strong project leadership skills, including managing multiple ambiguous, technically challenging initiatives and aligning stakeholders.
- Ability to mentor data scientists and analysts, providing guidance on methods and production coding standards.
- Advanced ability to design, review, and validate experimentation and evaluation frameworks.
- Strong judgment in balancing rigor, feasibility, and timeliness in clinical and operational contexts.
- High level of autonomy, accountability, and ownership across a portfolio of work.
- Demonstrated experience leading DS projects from scoping through deployment.
- Commitment to responsible and ethical AI.
Qualifications
Required
- Master's or PhD in Computer Science, Information Systems, Engineering, Math or related field/equivalency.
- Eight years of experience in a data science role.
- Two years of healthcare specific data analytics experience.
- Expertise in one or more sub-domains of data science.
Preferred
- Healthcare data science experience.
- Experience completing end to end Data science projects for executives.
Working Conditions and Physical Demands
Employee must be able to meet the following requirements with or without an accommodation.
This is a sedentary position that may exert up to 10 pounds and may lift, carry, push, pull or otherwise move objects. This position involves sitting most of the time and is not exposed to adverse environmental conditions.
Physical Requirements
Carrying, Climbing, Color Determination, Crawling, Far Vision, Lifting, Listening, Manual Dexterity, Near Vision, Pulling and/or Pushing, Reaching, Sitting, Speaking, Standing, Stooping and Crouching, Tasting or Smelling, Walking
Multi-lingual Candidates Welcomed
To inquire about this posting, email: careers@hsc.utah.edu
EEO Statement
University of Utah Health Hospitals and Clinics, a part of The University of Utah, values candidates who have experience working in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patient populations.
All qualified individuals are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
University of Utah Health Hospitals and Clinics, a part of The University of Utah, is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability, please contact the University of Utah Health Hospitals and Clinics Human Resources office at 801-581-6500. If you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at: www.utah.edu/nondiscrimination/
Online reports may be submitted at eoe.utah.edu/
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Hospitals and Clinics Human Resources at (801) 581-6500 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or Hospitals and Clinics Human Resources at (801) 581-6500 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
Requisition Number 85944
Reg/Temp Regular
Employment Type Full-Time
Shift Day
Work Schedule Monday - Friday 8 am - 5 pm
Clinical/Non-Clinical Status Non-Clinical
Location Name Information Technology Services
Workplace Set Up Hybrid
City SALT LAKE CITY
State UT
Department COR ISC 10P INSIGHT CENTER
Category Information Technology
Workplace Set Up Hybrid
AI Data Engineer Job Roles in Utah
See all 125+ AI Data Engineer Jobs 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 visa 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.