Senior Data Science Engineer Visa Sponsorship Jobs in Michigan
Michigan's senior data science engineer market centers on Detroit's automotive and mobility sector, with major employers like Ford, General Motors, and Stellantis sponsoring international talent for data-intensive roles. Ann Arbor's tech corridor and university connections add further opportunities, making the state a growing destination for senior-level data science professionals seeking visa sponsorship.
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At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Hybrid
The Pro360 team is tasked with creating a seamless, data-driven ecosystem for Ford Pro. In this role, you will be responsible for the end-to-end data lifecycle—from ingestion and transformation to visualization and executive presentation.
You will work within a modern tech stack centered on the Google Cloud Platform, utilizing your expertise in SQL and Python to build scalable pipelines. Uniquely, this role bridges the gap between traditional data engineering and DevOps, as you will manage infrastructure using Terraform and Tekton. Beyond the technical build, you will act as a consultant to the business, using Looker Studio and the Microsoft Office suite to present insights that influence strategic decisions at management level.
- Design, develop, maintain, and optimize complex data pipelines using Astronomer, Apache Airflow, and related orchestration technologies.
- Build scalable data ingestion, transformation, validation, and processing solutions across structured and semi-structured data sources.
- Deploy and manage cloud-based data services on Google Cloud Platform, including BigQuery, Dataflow, and Cloud Run.
- Write advanced SQL queries to extract, transform, analyze, and optimize large-scale datasets.
- Develop clean, maintainable Python code for data transformation, automation, workflow development, and analysis.
- Design and support data models, datasets, and reporting layers that enable trusted business intelligence and analytics.
- Use Terraform to provision and manage cloud infrastructure through Infrastructure as Code practices.
- Build and maintain CI/CD automation using Tekton, GitHub, and related DevOps tools.
- Implement data-quality controls, monitoring, error handling, and operational-support practices to ensure pipeline reliability and data accuracy.
- Build intuitive dashboards and reporting solutions in Looker Studio to track key performance indicators and provide visibility to business stakeholders.
- Partner with business teams and leadership to understand data needs, define reporting requirements, and align data strategy with business goals.
- Translate technical findings and complex data insights into clear, concise, and actionable presentations for non-technical audiences.
- Use Microsoft Office tools, including PowerPoint and Excel, to develop executive-ready analyses, reports, and presentations.
- Participate in technical design sessions, Agile planning, peer reviews, and continuous-improvement activities.
- Contribute to data-engineering standards, documentation, reusable development patterns, and a collaborative engineering culture.
We recognize that no one person will embody every single quality or skill listed below. If you are passionate about data engineering, cloud platforms, automation, and delivering meaningful business insights, we encourage you to apply.
Education:
- Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
- Master’s degree in Computer Science, Data Engineering, Analytics, or a related quantitative field is preferred.
Experience:
- 5+ years of professional experience in data engineering, data-platform engineering, analytics engineering, or a related discipline.
- Experience designing, building, deploying, and supporting scalable data pipelines and cloud-based data solutions.
- Experience working with business stakeholders to translate data requirements into technical solutions and actionable insights.
- Strong communication, analytical, problem-solving, and stakeholder-management skills.
- Ability to work independently and collaboratively within a cross-functional, Agile delivery environment.
Required Technical Experience:
- Strong SQL skills, including the ability to write complex queries, optimize performance, and manage large-scale datasets.
- Hands-on experience with BigQuery and PostgreSQL database technologies, including pgAdmin or comparable database-management tools.
- Intermediate to advanced Python coding skills, with experience developing clean, maintainable code for data manipulation, automation, and analysis.
- Hands-on Google Cloud Platform experience, including BigQuery, Dataflow, and Cloud Run.
- Experience designing and managing data-pipeline orchestration using Apache Airflow, Astronomer, or similar technologies.
- Experience using Terraform for cloud-infrastructure provisioning and Infrastructure as Code.
- Experience using Tekton or comparable CI/CD technologies to automate data-platform deployment and release processes.
- Experience using GitHub and modern development tools, including Visual Studio Code, for version control and collaborative development.
- Experience building business dashboards and visualizations using Looker Studio or similar business-intelligence tools.
- Understanding of data quality, data governance, cloud security, monitoring, and operational-support practices.
Preferred Experience:
- Experience with additional GCP services relevant to data engineering, analytics, and application development.
- Experience processing high-volume data using Apache Spark, Dataflow, or other distributed data-processing technologies.
- Familiarity with data modeling, data warehousing, and modern data-lakehouse architecture patterns.
- Experience developing executive dashboards, KPI reporting, and strategic business insights.
- Experience with Microsoft Excel, PowerPoint, and other tools used for executive communications and data storytelling.
- Experience supporting Ford Pro, fleet-management, commercial-vehicle, mobility, or customer-productivity initiatives.
- Familiarity with Agile development methods, DevOps practices, automated testing, and cloud-native engineering principles.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
This position is a salary grade 8.
This position is a salary grade 8 and ranges from $115,000-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Please note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be onsite 4 days per week
Visa Sponsorship is provided for this role
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
LI-Hybrid
LI-GH2
Overview
At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- Work Type: Hybrid
The Pro360 team is tasked with creating a seamless, data-driven ecosystem for Ford Pro. In this role, you will be responsible for the end-to-end data lifecycle—from ingestion and transformation to visualization and executive presentation.
You will work within a modern tech stack centered on the Google Cloud Platform, utilizing your expertise in SQL and Python to build scalable pipelines. Uniquely, this role bridges the gap between traditional data engineering and DevOps, as you will manage infrastructure using Terraform and Tekton. Beyond the technical build, you will act as a consultant to the business, using Looker Studio and the Microsoft Office suite to present insights that influence strategic decisions at management level.
- Design, develop, maintain, and optimize complex data pipelines using Astronomer, Apache Airflow, and related orchestration technologies.
- Build scalable data ingestion, transformation, validation, and processing solutions across structured and semi-structured data sources.
- Deploy and manage cloud-based data services on Google Cloud Platform, including BigQuery, Dataflow, and Cloud Run.
- Write advanced SQL queries to extract, transform, analyze, and optimize large-scale datasets.
- Develop clean, maintainable Python code for data transformation, automation, workflow development, and analysis.
- Design and support data models, datasets, and reporting layers that enable trusted business intelligence and analytics.
- Use Terraform to provision and manage cloud infrastructure through Infrastructure as Code practices.
- Build and maintain CI/CD automation using Tekton, GitHub, and related DevOps tools.
- Implement data-quality controls, monitoring, error handling, and operational-support practices to ensure pipeline reliability and data accuracy.
- Build intuitive dashboards and reporting solutions in Looker Studio to track key performance indicators and provide visibility to business stakeholders.
- Partner with business teams and leadership to understand data needs, define reporting requirements, and align data strategy with business goals.
- Translate technical findings and complex data insights into clear, concise, and actionable presentations for non-technical audiences.
- Use Microsoft Office tools, including PowerPoint and Excel, to develop executive-ready analyses, reports, and presentations.
- Participate in technical design sessions, Agile planning, peer reviews, and continuous-improvement activities.
- Contribute to data-engineering standards, documentation, reusable development patterns, and a collaborative engineering culture.
We recognize that no one person will embody every single quality or skill listed below. If you are passionate about data engineering, cloud platforms, automation, and delivering meaningful business insights, we encourage you to apply.
Education:
- Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
- Master’s degree in Computer Science, Data Engineering, Analytics, or a related quantitative field is preferred.
Experience:
- 5+ years of professional experience in data engineering, data-platform engineering, analytics engineering, or a related discipline.
- Experience designing, building, deploying, and supporting scalable data pipelines and cloud-based data solutions.
- Experience working with business stakeholders to translate data requirements into technical solutions and actionable insights.
- Strong communication, analytical, problem-solving, and stakeholder-management skills.
- Ability to work independently and collaboratively within a cross-functional, Agile delivery environment.
Required Technical Experience:
- Strong SQL skills, including the ability to write complex queries, optimize performance, and manage large-scale datasets.
- Hands-on experience with BigQuery and PostgreSQL database technologies, including pgAdmin or comparable database-management tools.
- Intermediate to advanced Python coding skills, with experience developing clean, maintainable code for data manipulation, automation, and analysis.
- Hands-on Google Cloud Platform experience, including BigQuery, Dataflow, and Cloud Run.
- Experience designing and managing data-pipeline orchestration using Apache Airflow, Astronomer, or similar technologies.
- Experience using Terraform for cloud-infrastructure provisioning and Infrastructure as Code.
- Experience using Tekton or comparable CI/CD technologies to automate data-platform deployment and release processes.
- Experience using GitHub and modern development tools, including Visual Studio Code, for version control and collaborative development.
- Experience building business dashboards and visualizations using Looker Studio or similar business-intelligence tools.
- Understanding of data quality, data governance, cloud security, monitoring, and operational-support practices.
Preferred Experience:
- Experience with additional GCP services relevant to data engineering, analytics, and application development.
- Experience processing high-volume data using Apache Spark, Dataflow, or other distributed data-processing technologies.
- Familiarity with data modeling, data warehousing, and modern data-lakehouse architecture patterns.
- Experience developing executive dashboards, KPI reporting, and strategic business insights.
- Experience with Microsoft Excel, PowerPoint, and other tools used for executive communications and data storytelling.
- Experience supporting Ford Pro, fleet-management, commercial-vehicle, mobility, or customer-productivity initiatives.
- Familiarity with Agile development methods, DevOps practices, automated testing, and cloud-native engineering principles.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
This position is a salary grade 8.
This position is a salary grade 8 and ranges from $115,000-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Please note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be onsite 4 days per week
Visa Sponsorship is provided for this role
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
LI-Hybrid
LI-GH2
Senior Data Science Engineer Job Roles in Michigan
See all 43+ Senior Data Science Engineer Jobs in Michigan
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Search Senior Data Science Engineer Jobs in MichiganSenior Data Science Engineer Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Michigan?
Michigan's largest visa sponsors for senior data science engineers include Ford Motor Company, General Motors, Stellantis, and automotive supplier Aptiv, all of which regularly file H-1B visa petitions for data science roles. Beyond automotive, healthcare systems like Henry Ford Health and financial technology firms in Detroit's growing tech sector have also sponsored senior data science engineers. Ann Arbor companies tied to the University of Michigan research ecosystem are active sponsors as well.
Which visa types are most common for senior data science engineer roles in Michigan?
The H-1B is the most common visa for senior data science engineers in Michigan, as these roles typically qualify as specialty occupations requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with exceptional research credentials may pursue the O-1A. Some senior engineers sponsored by large multinational firms like Ford or GM may qualify for an L-1A or L-1B transfer if they're moving from an overseas office.
Which cities in Michigan have the most senior data science engineer sponsorship jobs?
Detroit and its surrounding metro area, including Dearborn and Auburn Hills, account for the largest share of senior data science engineer sponsorship activity in Michigan, driven by automotive and mobility employers headquartered there. Ann Arbor is a strong secondary hub, supported by University of Michigan spinoffs, health technology companies, and established tech employers. Grand Rapids has a smaller but growing presence, particularly in healthcare data and manufacturing analytics.
How to find senior data science engineer visa sponsorship jobs in Michigan?
Migrate Mate is built specifically for international job seekers and filters senior data science engineer roles in Michigan by verified visa sponsorship activity, saving you the work of screening employers manually. Because Michigan's sponsorship market is concentrated in automotive, healthcare, and university-adjacent tech, filtering by those sectors on Migrate Mate helps you focus on the most active sponsors. Setting up alerts for Michigan-based roles means you see new postings as soon as they appear.
Are there state-specific factors that affect senior data science engineer sponsorship in Michigan?
Michigan's concentration in automotive manufacturing means senior data science engineers here often work on vehicle data platforms, manufacturing analytics, or autonomous vehicle systems, which shapes the technical skills employers prioritize. Because many Michigan sponsors are large, established companies, their immigration programs tend to be well-resourced, though H-1B cap timing and prevailing wage determinations under Department of Labor rules apply equally here as anywhere in the U.S. The University of Michigan's OPT pipeline also feeds demand for senior-level talent conversion.
What is the prevailing wage for sponsored senior data science 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.