AI Data Engineer Visa Sponsorship Jobs in Minnesota
Minnesota's AI data engineer hiring is anchored by companies like Target, UnitedHealth Group, and 3M in the Twin Cities metro, alongside a growing university research pipeline from the University of Minnesota. Minneapolis and Saint Paul hold the highest concentration of roles, with sponsorship activity spanning retail tech, healthcare analytics, and enterprise software.
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The University of St. Thomas invites applications for an adjunct faculty member to teach Cybersecurity and the Role of Artificial Intelligence in Emergency Management in the graduate Emergency and Disaster Management program during Fall 2027. This is an 8-week, fully online, asynchronous course. Learn more about the Master of Science degree in Emergency and Disaster Management at the following website: MS Emergency and Disaster Management.
The successful candidate will bring relevant academic expertise and/or professional experience in cybersecurity, artificial intelligence, emergency management, or a related field.
This course examines the intersection of cybersecurity and emergency management, with particular emphasis on how cyber threats affect critical infrastructure, disaster preparedness, and emergency response operations. Students will explore foundational cybersecurity concepts, risk assessment methodologies, disaster response planning, and best practices for protecting digital assets during crises. The course also considers the role and potential applications of artificial intelligence in strengthening cybersecurity and supporting emergency management decision-making.
The ideal candidate will demonstrate the ability to connect theoretical concepts with practical applications, emerging technologies, and contemporary challenges in cybersecurity and emergency management.
Responsibilities
- Develop and/or teach graduate-level course content for an 8-week, online, asynchronous course.
- Integrate relevant professional experiences, case studies, and current research into course materials.
- Examine cybersecurity threats to critical infrastructure and their implications for emergency preparedness, response, and recovery.
- Address the applications, opportunities, and challenges of artificial intelligence in cybersecurity and emergency management.
- Evaluate student learning through assignments, discussions, and other appropriate assessment methods.
- Provide timely feedback and maintain regular communication with students throughout the course.
The University of St. Thomas embraces belonging and equal opportunity for all. Our convictions of dignity, diversity and personal attention call us to embody and champion an inclusive environment. The University is an Equal Employment Opportunity Employer (EEO). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran, or other protected characteristic. This commitment to inclusion and equal opportunity is consistent with our mission: Inspired by Catholic intellectual tradition, the University of St. Thomas educates students to be morally responsible leaders who think critically, act wisely, and work skillfully to advance the common good. A successful candidate will possess a commitment to the ideals of this mission.
Salary Range: $1,000-$5,600 depending on student enrollment
Initial Course Development: $4,000
QUALIFICATIONS:
Minimum Qualifications
Applicants must hold a master's degree in a relevant discipline and meet at least one of the following criteria:
- Professional experience: At least 10 years of relevant professional experience; or
- Scholarly achievement: A sustained record of scholarly achievement demonstrated by at least four academic works, such as peer-reviewed publications, books, book chapters, funded research, or other recognized scholarly contributions.
Relevant experience may include cybersecurity operations, information assurance, critical infrastructure protection, cyber risk management, emergency management, disaster response, artificial intelligence applications, or related areas.
Related Disciplines
Qualified candidates may hold degrees or demonstrate professional expertise in one or more of the following disciplines:
Cybersecurity, Computer Science, Information Technology, Information Systems, Artificial Intelligence, Data Science, Information Assurance, Cyber Operations, Emergency Management, Homeland Security, Intelligence Studies, Criminal Justice, Public Administration, Public Policy, Risk Management, Engineering, or other closely related fields.
Preferred Areas of Expertise
Preference may be given to candidates with expertise or professional experience in cybersecurity threats and risk management, critical infrastructure protection, cyber incident response and recovery, artificial intelligence applications in cybersecurity and emergency management, cybersecurity policy and governance, and the integration of technology into emergency preparedness, response, and decision-making.
Application Instructions
Applications should be submitted by December 1, 2026. The position will remain open until filled.
Interested candidates should submit a current curriculum vitae or résumé and a cover letter highlighting their relevant academic credentials, professional experience, and qualifications to teach the course.
Applicants may also include information about teaching experience, online instruction, scholarly publications, research, or other professional accomplishments. Application materials should demonstrate how the candidate’s background and expertise align with the course content and minimum qualification requirements.
The University of St. Thomas welcomes applications from qualified professionals and scholars who can bring relevant expertise and practical perspectives to graduate education in emergency and disaster management.
OVERVIEW:
The University of St. Thomas invites applications for an adjunct faculty member to teach Cybersecurity and the Role of Artificial Intelligence in Emergency Management in the graduate Emergency and Disaster Management program during Fall 2027. This is an 8-week, fully online, asynchronous course. Learn more about the Master of Science degree in Emergency and Disaster Management at the following website: MS Emergency and Disaster Management.
The successful candidate will bring relevant academic expertise and/or professional experience in cybersecurity, artificial intelligence, emergency management, or a related field.
This course examines the intersection of cybersecurity and emergency management, with particular emphasis on how cyber threats affect critical infrastructure, disaster preparedness, and emergency response operations. Students will explore foundational cybersecurity concepts, risk assessment methodologies, disaster response planning, and best practices for protecting digital assets during crises. The course also considers the role and potential applications of artificial intelligence in strengthening cybersecurity and supporting emergency management decision-making.
The ideal candidate will demonstrate the ability to connect theoretical concepts with practical applications, emerging technologies, and contemporary challenges in cybersecurity and emergency management.
Responsibilities
- Develop and/or teach graduate-level course content for an 8-week, online, asynchronous course.
- Integrate relevant professional experiences, case studies, and current research into course materials.
- Examine cybersecurity threats to critical infrastructure and their implications for emergency preparedness, response, and recovery.
- Address the applications, opportunities, and challenges of artificial intelligence in cybersecurity and emergency management.
- Evaluate student learning through assignments, discussions, and other appropriate assessment methods.
- Provide timely feedback and maintain regular communication with students throughout the course.
The University of St. Thomas embraces belonging and equal opportunity for all. Our convictions of dignity, diversity and personal attention call us to embody and champion an inclusive environment. The University is an Equal Employment Opportunity Employer (EEO). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran, or other protected characteristic. This commitment to inclusion and equal opportunity is consistent with our mission: Inspired by Catholic intellectual tradition, the University of St. Thomas educates students to be morally responsible leaders who think critically, act wisely, and work skillfully to advance the common good. A successful candidate will possess a commitment to the ideals of this mission.
Salary Range: $1,000-$5,600 depending on student enrollment
Initial Course Development: $4,000
QUALIFICATIONS:
Minimum Qualifications
Applicants must hold a master's degree in a relevant discipline and meet at least one of the following criteria:
- Professional experience: At least 10 years of relevant professional experience; or
- Scholarly achievement: A sustained record of scholarly achievement demonstrated by at least four academic works, such as peer-reviewed publications, books, book chapters, funded research, or other recognized scholarly contributions.
Relevant experience may include cybersecurity operations, information assurance, critical infrastructure protection, cyber risk management, emergency management, disaster response, artificial intelligence applications, or related areas.
Related Disciplines
Qualified candidates may hold degrees or demonstrate professional expertise in one or more of the following disciplines:
Cybersecurity, Computer Science, Information Technology, Information Systems, Artificial Intelligence, Data Science, Information Assurance, Cyber Operations, Emergency Management, Homeland Security, Intelligence Studies, Criminal Justice, Public Administration, Public Policy, Risk Management, Engineering, or other closely related fields.
Preferred Areas of Expertise
Preference may be given to candidates with expertise or professional experience in cybersecurity threats and risk management, critical infrastructure protection, cyber incident response and recovery, artificial intelligence applications in cybersecurity and emergency management, cybersecurity policy and governance, and the integration of technology into emergency preparedness, response, and decision-making.
Application Instructions
Applications should be submitted by December 1, 2026. The position will remain open until filled.
Interested candidates should submit a current curriculum vitae or résumé and a cover letter highlighting their relevant academic credentials, professional experience, and qualifications to teach the course.
Applicants may also include information about teaching experience, online instruction, scholarly publications, research, or other professional accomplishments. Application materials should demonstrate how the candidate’s background and expertise align with the course content and minimum qualification requirements.
The University of St. Thomas welcomes applications from qualified professionals and scholars who can bring relevant expertise and practical perspectives to graduate education in emergency and disaster management.
AI Data Engineer Job Roles in Minnesota
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Search AI Data Engineer Jobs in MinnesotaAI Data Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Minnesota?
The most active sponsors for AI data engineer roles in Minnesota include Target, UnitedHealth Group, 3M, Optum, and Cargill, primarily headquartered in the Twin Cities. Mid-sized tech firms and healthcare analytics companies in the Minneapolis metro also file H-1B visa petitions regularly for this role. Sponsorship is most common at larger enterprises with established immigration programs and dedicated HR infrastructure.
Which visa types are most common for AI data engineers in Minnesota?
The H-1B is the most common visa category for AI data engineers in Minnesota, as the role typically qualifies as a specialty occupation requiring a relevant bachelor's degree or higher in computer science, data science, or a related field. Candidates already on F-1 OPT or STEM OPT extensions may be sponsored for H-1B cap-subject petitions through employers who file in the annual April lottery.
How to find ai data engineer visa sponsorship jobs in Minnesota?
Migrate Mate is built specifically for international job seekers and filters AI data engineer roles in Minnesota by visa sponsorship history, so you're not manually sifting through postings from companies that don't sponsor. Search by role and state on Migrate Mate to surface employers like Target, UnitedHealth Group, and Optum that have a documented track record of sponsoring H-1B petitions for data engineering positions.
Which cities in Minnesota have the most AI data engineer sponsorship jobs?
Minneapolis and Saint Paul account for the vast majority of AI data engineer sponsorship activity in Minnesota. The broader Twin Cities metro, including suburbs like Bloomington, Minnetonka, and Eden Prairie, is where most major corporate headquarters and tech campuses are based. Rochester has a secondary concentration driven by Mayo Clinic's data science and health AI initiatives, which regularly require engineering talent.
Are there state-specific considerations for AI data engineers pursuing sponsorship in Minnesota?
Minnesota's employer base skews heavily toward healthcare, retail, and agriculture technology, meaning AI data engineer roles here often involve domain-specific pipelines, such as clinical data or supply chain analytics, rather than general consumer tech. The University of Minnesota produces a steady pipeline of graduate talent in machine learning and data engineering, which keeps competition for roles meaningful. Employers must meet Department of Labor prevailing wage requirements when filing an LCA for H-1B sponsorship.
What is the prevailing wage for sponsored ai data engineer jobs in Minnesota?
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.