Data Manager Visa Sponsorship Jobs in Michigan
Michigan's data manager roles are concentrated in Detroit's automotive and manufacturing sectors, with major employers like Ford, General Motors, Stellantis, and Blue Cross Blue Shield of Michigan regularly hiring data professionals. Ann Arbor's research and tech scene adds additional opportunity, particularly near the University of Michigan. Visa sponsorship is available across both private industry and healthcare.
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Get Access To All JobsPosition: Data Engineer II – GCP, Big Query & Airflow
Location: 679 - Rotunda Center, 17000 Rotunda Drive, DEARBORN, MI, 48120
Contract W2
Job Description
Hybrid Position, 4 days a week onsite
Top Requirements:
- Masters Degree is REQUIRED
- Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment.
- Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity.
- Knowledge of Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and the use of large language models (LLMs) to automate software development and business processes.
- Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation.
- Familiarity with cloud AI services on GCP, such as Vertex AI, Gemini models, and AI APIs, is a plus
Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately.
1) Collaborate with business and technology stakeholders to understand current and future data requirements
2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
6) Ensure optimum performance and identify improvement opportunities
Experience in Data ingestion for all types of data and data wrangling and transformations and land data in Big Query. Experience in Stored procs, triggers, data modelling, Qlik View and cloud function and data fusion, astronomer and air flow.
Data/Analytics, Data Warehousing, Data Modeling
GCP
- Engineer 2 Exp: 4+ years Data Engineering work experience
- Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment.
- Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity.
- Knowledge of Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and the use of large language models (LLMs) to automate software development and business processes.
- Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation.
- Familiarity with cloud AI services on GCP, such as Vertex AI, Gemini models, and AI APIs, is a plus
- Experience in GCP Cloud Services. Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment.
- Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity
Education
Master's Degree, Bachelor's Degree
Pay: $50.00 - $55.00 per hour
Work Location: In person
Position: Data Engineer II – GCP, Big Query & Airflow
Location: 679 - Rotunda Center, 17000 Rotunda Drive, DEARBORN, MI, 48120
Contract W2
Job Description
Hybrid Position, 4 days a week onsite
Top Requirements:
- Masters Degree is REQUIRED
- Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment.
- Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity.
- Knowledge of Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and the use of large language models (LLMs) to automate software development and business processes.
- Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation.
- Familiarity with cloud AI services on GCP, such as Vertex AI, Gemini models, and AI APIs, is a plus
Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately.
1) Collaborate with business and technology stakeholders to understand current and future data requirements
2) Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
6) Ensure optimum performance and identify improvement opportunities
Experience in Data ingestion for all types of data and data wrangling and transformations and land data in Big Query. Experience in Stored procs, triggers, data modelling, Qlik View and cloud function and data fusion, astronomer and air flow.
Data/Analytics, Data Warehousing, Data Modeling
GCP
- Engineer 2 Exp: 4+ years Data Engineering work experience
- Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment.
- Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity.
- Knowledge of Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and the use of large language models (LLMs) to automate software development and business processes.
- Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation.
- Familiarity with cloud AI services on GCP, such as Vertex AI, Gemini models, and AI APIs, is a plus
- Experience in GCP Cloud Services. Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment.
- Strong understanding of AI-assisted development tools, such as Gemini Code Assist, OpenCode, and GitHub Copilot, to improve developer productivity
Education
Master's Degree, Bachelor's Degree
Pay: $50.00 - $55.00 per hour
Work Location: In person
Data Manager Job Roles in Michigan
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Search Data Manager Jobs in MichiganData Manager Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for data managers in Michigan?
Michigan's largest visa sponsors for data manager roles include Ford Motor Company, General Motors, Stellantis, and Blue Cross Blue Shield of Michigan. Healthcare systems like Henry Ford Health and Beaumont Health also sponsor, as do tech-adjacent firms in the Ann Arbor corridor. Automotive suppliers such as Aptiv and Lear Corporation have filed H-1B visa petitions for data-focused roles as well.
Which visa types are most common for data manager roles in Michigan?
The H-1B is the most common visa for data manager positions in Michigan, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant field like computer science, information systems, or data engineering. Candidates with a Canadian or Mexican citizenship may also qualify under the TN visa, which has no lottery and no annual cap.
Which cities in Michigan have the most data manager sponsorship jobs?
Detroit and its immediate suburbs, including Dearborn, Troy, and Southfield, account for the largest share of data manager sponsorship activity in Michigan, driven by the automotive and insurance sectors. Ann Arbor is the second most active market, supported by the University of Michigan, healthcare systems, and a growing technology employer base. Grand Rapids has a smaller but emerging presence in healthcare data roles.
How to find data manager visa sponsorship jobs in Michigan?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify data manager roles in Michigan where employers have indicated willingness to sponsor. Because sponsorship is listed as a filter rather than buried in job descriptions, you avoid spending time on postings that won't lead anywhere. Migrate Mate also surfaces roles from Michigan's automotive, healthcare, and university-adjacent employers that actively hire international candidates.
Are there state-specific considerations for data managers pursuing sponsorship in Michigan?
Michigan's prevailing wage requirements for H-1B data manager roles are benchmarked to the Detroit and Ann Arbor metropolitan areas, which tend to reflect competitive market rates for data professionals given the concentration of large automotive and healthcare employers. University of Michigan and Michigan State University also generate a consistent pipeline of international graduates who transition into data roles locally, meaning Michigan employers have established experience navigating sponsorship for this occupation.
What is the prevailing wage for sponsored data manager 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.