Data Engineer Visa Sponsorship Jobs in Michigan
Michigan's data engineer job market centers on Detroit's automotive and mobility sector, with major employers like Ford, General Motors, and Stellantis building out data infrastructure teams. Ann Arbor's tech ecosystem and university ties add further depth. Several Michigan-based companies have active sponsorship histories for data engineering roles.
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Get Access To All JobsABOUT THE ROLE
Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering and ICT stakeholders around practical data needs and constraints, scale AI delivery through stronger data models, pipelines, integration pathways, quality routines and traceability, and pioneer more robust data-engineering practices that make solutions easier to trust, operate and industrialize.
YOUR MISSIONS:
Data Modelling, Pipelines & Reuse:
- Design, improve or govern selected data models, transformation logic and pipeline components that support AI and analytics use cases
- Promote maintainable structures, reusable components and clear lineage across transformations where relevant
- Support delivery teams with practical data-engineering discipline rather than one-off technical builds
Platform, Integration & Traceability:
- Clarify selected source-to-platform pathways, integration dependencies and technical constraints affecting delivery
- Help maintain visibility on traceability, handoffs and access conditions across Supply Chain
- Work with ICT and engineering stakeholders to keep the build path practical and scalable
Data Quality, Certification & Governance Support:
- Contribute to selected quality checks, certification routines, governance expectations or compliance-related traceability needs depending on the scope assigned
- Help surface structural data issues, documentation gaps or control weaknesses that affect deployment readiness
- Support a trusted delivery environment by making data assets more visible, understandable and supportable
YOUR PROFILE:
- Strong data-engineering experience in modern enterprise environments, with depth in some combination of data modelling, pipelines, integration, quality, lineage or governance-related topics
- Able to operate across business needs, technical constraints and delivery realities
- Strong SQL and practical understanding of data structures, transformations, traceability and controlled delivery environments
- Comfortable working with multiple stakeholders across architecture, data, engineering and governance topics
- Structured, pragmatic and able to take ownership of a defined subset of a broader senior data-engineering scope
SKILLS YOU'LL GROW:
- Broader exposure across the different building blocks that make AI-ready data operational at scale
- Experience working at the intersection of data engineering, integration, quality and delivery governance
- Opportunity to deepen expertise in a specific component while contributing to a wider AI data foundation agenda
WHY JOIN / IMPACT:
- Work on data-engineering challenges directly tied to real AI deployment in Supply Chain
- Join a role broad enough to offer variety, while still allowing focused ownership on a defined perimeter
- Help strengthen the data foundations that make scalable AI delivery possible
BASIC QUALIFICATIONS:
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or related field
- 8 years of experience in data engineering or data platforms
- Previous Supply Chain experience
- Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent
- Experience with data pipelines, integration, semantic, lineage, architecture and platform environments
- Enterprise-scale data transformation and delivery experience
- Ability to collaborate effectively with analytics, AI, and software engineering teams
ABOUT THE ROLE
Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering and ICT stakeholders around practical data needs and constraints, scale AI delivery through stronger data models, pipelines, integration pathways, quality routines and traceability, and pioneer more robust data-engineering practices that make solutions easier to trust, operate and industrialize.
YOUR MISSIONS:
Data Modelling, Pipelines & Reuse:
- Design, improve or govern selected data models, transformation logic and pipeline components that support AI and analytics use cases
- Promote maintainable structures, reusable components and clear lineage across transformations where relevant
- Support delivery teams with practical data-engineering discipline rather than one-off technical builds
Platform, Integration & Traceability:
- Clarify selected source-to-platform pathways, integration dependencies and technical constraints affecting delivery
- Help maintain visibility on traceability, handoffs and access conditions across Supply Chain
- Work with ICT and engineering stakeholders to keep the build path practical and scalable
Data Quality, Certification & Governance Support:
- Contribute to selected quality checks, certification routines, governance expectations or compliance-related traceability needs depending on the scope assigned
- Help surface structural data issues, documentation gaps or control weaknesses that affect deployment readiness
- Support a trusted delivery environment by making data assets more visible, understandable and supportable
YOUR PROFILE:
- Strong data-engineering experience in modern enterprise environments, with depth in some combination of data modelling, pipelines, integration, quality, lineage or governance-related topics
- Able to operate across business needs, technical constraints and delivery realities
- Strong SQL and practical understanding of data structures, transformations, traceability and controlled delivery environments
- Comfortable working with multiple stakeholders across architecture, data, engineering and governance topics
- Structured, pragmatic and able to take ownership of a defined subset of a broader senior data-engineering scope
SKILLS YOU'LL GROW:
- Broader exposure across the different building blocks that make AI-ready data operational at scale
- Experience working at the intersection of data engineering, integration, quality and delivery governance
- Opportunity to deepen expertise in a specific component while contributing to a wider AI data foundation agenda
WHY JOIN / IMPACT:
- Work on data-engineering challenges directly tied to real AI deployment in Supply Chain
- Join a role broad enough to offer variety, while still allowing focused ownership on a defined perimeter
- Help strengthen the data foundations that make scalable AI delivery possible
BASIC QUALIFICATIONS:
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or related field
- 8 years of experience in data engineering or data platforms
- Previous Supply Chain experience
- Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent
- Experience with data pipelines, integration, semantic, lineage, architecture and platform environments
- Enterprise-scale data transformation and delivery experience
- Ability to collaborate effectively with analytics, AI, and software engineering teams
Data Engineer Job Roles in Michigan
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Search Data Engineer Jobs in MichiganData Engineer Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for data engineers in Michigan?
Ford Motor Company, General Motors, Stellantis, and Rocket Companies are among the Michigan employers with documented H-1B visa sponsorship histories for data engineering roles. Healthcare systems like Henry Ford Health and Beaumont Health have also sponsored data engineers. Auto suppliers including Aptiv and Lear Corporation round out the sponsoring employer base, reflecting Michigan's concentration in automotive data and connected vehicle infrastructure.
Which visa types are most common for data engineer roles in Michigan?
The H-1B is the most common visa category for data engineers in Michigan, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. International candidates already holding OPT or STEM OPT through Michigan universities often use that period to secure employer H-1B sponsorship before the extension runs out.
Which cities in Michigan have the most data engineer sponsorship jobs?
Detroit and its surrounding metro, including Dearborn and Auburn Hills, accounts for the largest share of data engineer sponsorship activity given the automotive industry's scale there. Ann Arbor is the second major hub, driven by University of Michigan spinoffs, tech companies, and health systems. Grand Rapids has a smaller but growing presence, particularly in healthcare data and manufacturing analytics roles.
How to find data engineer visa sponsorship jobs in Michigan?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to search data engineer roles in Michigan without manually screening hundreds of postings. The platform surfaces Michigan employers with active sponsorship histories, so you can focus on companies already open to H-1B or OPT candidates. Filtering by Michigan and the data engineer role type narrows results to relevant, sponsorship-confirmed opportunities.
Are there state-specific factors that affect data engineer sponsorship in Michigan?
Michigan's automotive industry drives unusually high demand for data engineers with experience in manufacturing analytics, connected vehicle data pipelines, and IoT systems, which can strengthen specialty occupation cases for H-1B petitions. The University of Michigan and Michigan State University supply a significant pipeline of international STEM graduates, making Ann Arbor and East Lansing areas where employers are relatively familiar with OPT-to-H-1B transitions.
What is the prevailing wage for sponsored data engineer jobs in Michigan?
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.