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.
Find Data Engineer JobsOverview
Showing 5 of 175+ Data Engineer Jobs in Michigan with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 175+ Data Engineer Jobs in Michigan with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer Jobs in Michigan with Visa Sponsorship.
Get Access To All JobsJob ID: 2018651
Career Area: ICT, Digital and Data
Position Type: Salaried
Location: Headquarters & Technology Center – Auburn Hills 48326, US
Date Posted: May 28, 2026
Brand: FCA Group
The Senior Data Engineer – Platform Foundation is a hands-on, senior-level contributor embedded in the Foundations squad. You will design, build, and evolve the shared ingestion platform that underpins data delivery across the company. The platform is the product — your job is to make it reliable, extensible, and easy for other teams to adopt.
The Foundations squad operates across three pillars: simplifying the overall data platform landscape by reducing complexity and consolidating redundant patterns; enabling structured and unstructured data ingestion at scale; and supporting the exposure of data products to consumers across the organization. You contribute to all three — making architectural decisions, writing production code, and enabling other teams through documentation and hands-on support.
Key Responsibilities:
Platform Foundation Development
- Design and implement reusable ingestion components using dlt and dbt-core, covering both structured and unstructured data sources, handling high-volume, append-heavy, and schema-drifting patterns
- Own the Airflow platform end-to-end: extend and maintain DAGs and shared operators, handle deployments and version upgrades, and provide hands-on support to consuming teams
- Ensure incremental loading strategies, data quality checks, and lineage metadata are first-class outputs of every pipeline
Platform Simplification & Architecture
- Identify and eliminate redundant ingestion patterns across consuming teams, drive standardization onto shared Platform Foundation components
- Collaborate with Solution Architects to evolve the platform architecture in response to new data sources and shifting business requirements
- Support data product exposure: define and implement governed interfaces that make data reliably accessible to internal consumers
- Contribute to Terraform-managed infrastructure; participate in multi-cloud (AWS / Azure) deployment patterns
AI Tooling & Developer Productivity
- Actively use and evaluate AI-assisted development tools (GitHub Copilot, Claude Code, etc.) to accelerate platform Foundation delivery
- Champion AI tooling adoption within the squad; share best practices and guardrails around AI-generated code review
- Explore AI-powered capabilities (RAG pipelines, LLM-assisted data cataloguing) for internal platform documentation and self-service enablement
DevOps & Reliability
- Maintain and improve CI/CD pipelines (TeamCity, GitHub Actions) for platform Foundation components
- Define and enforce observability standards: DAG/Task-level alerting, SLA tracking
- Participate in on-call rotation for critical ingestion pipelines; drive post-incident improvements
Team Enablement & Stakeholder Management
- Produce platform Foundation documentation, runbooks, and enablement materials for consuming squads
- Translate ambiguous or moving business requirements into concrete technical designs — comfortable challenging scope when needed
- Mentor mid-level engineers; participate in hiring and technical assessments
EOE/Disability/Veteran
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.
Our benefits reflects the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.
We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected.
Job ID: 2018651
Career Area: ICT, Digital and Data
Position Type: Salaried
Location: Headquarters & Technology Center – Auburn Hills 48326, US
Date Posted: May 28, 2026
Brand: FCA Group
The Senior Data Engineer – Platform Foundation is a hands-on, senior-level contributor embedded in the Foundations squad. You will design, build, and evolve the shared ingestion platform that underpins data delivery across the company. The platform is the product — your job is to make it reliable, extensible, and easy for other teams to adopt.
The Foundations squad operates across three pillars: simplifying the overall data platform landscape by reducing complexity and consolidating redundant patterns; enabling structured and unstructured data ingestion at scale; and supporting the exposure of data products to consumers across the organization. You contribute to all three — making architectural decisions, writing production code, and enabling other teams through documentation and hands-on support.
Key Responsibilities:
Platform Foundation Development
- Design and implement reusable ingestion components using dlt and dbt-core, covering both structured and unstructured data sources, handling high-volume, append-heavy, and schema-drifting patterns
- Own the Airflow platform end-to-end: extend and maintain DAGs and shared operators, handle deployments and version upgrades, and provide hands-on support to consuming teams
- Ensure incremental loading strategies, data quality checks, and lineage metadata are first-class outputs of every pipeline
Platform Simplification & Architecture
- Identify and eliminate redundant ingestion patterns across consuming teams, drive standardization onto shared Platform Foundation components
- Collaborate with Solution Architects to evolve the platform architecture in response to new data sources and shifting business requirements
- Support data product exposure: define and implement governed interfaces that make data reliably accessible to internal consumers
- Contribute to Terraform-managed infrastructure; participate in multi-cloud (AWS / Azure) deployment patterns
AI Tooling & Developer Productivity
- Actively use and evaluate AI-assisted development tools (GitHub Copilot, Claude Code, etc.) to accelerate platform Foundation delivery
- Champion AI tooling adoption within the squad; share best practices and guardrails around AI-generated code review
- Explore AI-powered capabilities (RAG pipelines, LLM-assisted data cataloguing) for internal platform documentation and self-service enablement
DevOps & Reliability
- Maintain and improve CI/CD pipelines (TeamCity, GitHub Actions) for platform Foundation components
- Define and enforce observability standards: DAG/Task-level alerting, SLA tracking
- Participate in on-call rotation for critical ingestion pipelines; drive post-incident improvements
Team Enablement & Stakeholder Management
- Produce platform Foundation documentation, runbooks, and enablement materials for consuming squads
- Translate ambiguous or moving business requirements into concrete technical designs — comfortable challenging scope when needed
- Mentor mid-level engineers; participate in hiring and technical assessments
EOE/Disability/Veteran
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.
Our benefits reflects the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.
We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected.
Data Engineer Job Roles in Michigan
See all 175+ Data Engineer Jobs in Michigan
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
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.