Engineering Jobs at Ford Motor Company with Visa Sponsorship
Engineering jobs at Ford Motor Company involve work across vehicle systems, electrification, advanced manufacturing, and autonomous technology. Ford has a consistent track record of sponsoring international engineers across multiple visa categories, making it a realistic target for candidates with specialized technical backgrounds who need work authorization.
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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
PRO 360 requires a Data Engineering Manager to design, develop, and maintain the enterprise data architecture that unifies commercial customer data across Vehicles, Service, Software, and Ford Credit.
- Lead Data Engineering: Drive the development of real-time and batch data pipelines, manage GCP infrastructure, ensure code quality, and oversee integrations with downstream systems like Salesforce and Marketing Cloud.
- Drive AI Data Initiatives: Architect data foundations to support AI monetization, including predictive analytics and cutting-edge Agentic AI workflows leveraging Google Vertex AI and Gemini.
- Enforce Data Governance: Implement "Policy as Code," machine-readable data contracts, data quality observability, and strict privacy controls (GDPR, CCPA, PRO ID management).
Why This Role Matters As the definitive source of truth for Ford Pro’s commercial customers, PRO 360 is the engine behind Ford Pro’s growth and efficiency goals. This LL6 leadership role ensures that our data is scalable, AI-ready, and highly governed—directly enabling Ford Pro’s commercial success.
Job Responsibilities
Data Engineering:
- Lead Engineering Execution: Manage and mentor pods of data and software engineers to design, build, and deploy domain-driven data products on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow).
- Platform Modernization: Drive critical infrastructure initiatives, including the migration to GCP 3.0, adoption of DataOps packages, and the decommissioning of legacy tech debt to ensure highly performant and cost-optimized cloud operations.
- Ecosystem Integration: Architect real-time and batch data pipelines to ingest fragmented data and serve unified profiles to downstream operational systems, specifically Salesforce (Sales/Service Cloud), Marketing Cloud, and Ford Credit billing systems.
- Engineering Craftsmanship: Enforce rigorous engineering standards, ensuring 100% of PRO 360 repositories maintain SonarQube "A" ratings for reliability, security, and maintainability, and championing CI/CD automation.
- Technical Leadership: Act as the Directly Responsible Individual (DRI) for technical deployments, collaborating with Product Managers and Product Anchors to translate business OKRs into scalable technical backlogs.
AI Initiatives:
- AI Data Readiness: Architect and optimize data models to support high-priority machine learning initiatives ensuring training and inference pipelines are highly available and scalable.
- Agentic AI Enablement: Lead the data integration strategy for next-generation Agentic AI workflows (using Vertex AI, Gemini, and Agent Platforms), enabling autonomous lead generation, pipeline observability, and conversational AI dashboards.
- Feature Engineering & ML Ops: Collaborate closely with Data Scientists and AI Engineers to transition ML models from proof-of-concept to production, ensuring seamless integration into the PRO 360 ecosystem.
- Unstructured Data & RAG: Build pipelines to process and structure complex datasets (e.g., telematics, connected vehicle data, unstructured web leads) to feed into Large Language Models and Retrieval-Augmented Generation (RAG) frameworks.
Data Governance, Quality & Compliance:
- Data Contracts & Observability: Implement machine-readable data contracts (Schema, SLOs, and DQ rules) for top PRO 360 data products. Oversee automated data quality monitoring and anomaly detection using platform observability tools.
- Privacy & Compliance Controls: Architect and develop automated governance controls to map data assets to privacy classifications. Ensure strict adherence to GDPR and CCPA, including the automated management and suppression/deletion of consent data.
- Policy as Code: Translate business and regulatory policies into enforceable, automated standards within the CI/CD pipeline, eliminating manual configuration errors.
- Federated Data Sharing: Manage the governance of sharing PRO 360 data with internal pillars (FCSD, FPI, FMCC) and external partners (e.g., D&B, S&P) through secure, role-based, and attribute-based access controls.
Bachelor’s / Masters’s Degree in Computer Science, Data Engineering, Information Technology, or a related technical field.
Required Qualifications
- 10+ years of hands-on experience in Data Engineering, Data Architecture, or AI/ML Ops, with 3+ years in a technical leadership.
- Deep technical proficiency in Google Cloud Platform (GCP) data services, including BigQuery, Cloud Composer, Dataflow, Pub/Sub, and Dataplex.
- Proven track record of operationalizing AI/ML models and supporting GenAI/Agentic AI infrastructure (Vertex AI, LLM orchestration).
- Strong programming skills in Python and SQL, with proficiency in Terraform/IaC for infrastructure automation.
- Experience building and scaling Customer Data Platforms (CDPs), Master Data Management (MDM) solutions, or complex B2B data ecosystems.
- Familiarity with CRM integrations (specifically Salesforce) and enterprise billing/financial data flows.
- Strong understanding of enterprise data governance, data contracts, and global privacy regulations (GDPR, CCPA).
- Excellent communication skills with the ability to translate complex technical architectures to business stakeholders and executive leadership.
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, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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 leadership level 6 and ranges from $132,800-$250,800.
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.
Visa sponsorship is available for this position.
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. 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.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
LI-Hybrid
LI-GR1
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
PRO 360 requires a Data Engineering Manager to design, develop, and maintain the enterprise data architecture that unifies commercial customer data across Vehicles, Service, Software, and Ford Credit.
- Lead Data Engineering: Drive the development of real-time and batch data pipelines, manage GCP infrastructure, ensure code quality, and oversee integrations with downstream systems like Salesforce and Marketing Cloud.
- Drive AI Data Initiatives: Architect data foundations to support AI monetization, including predictive analytics and cutting-edge Agentic AI workflows leveraging Google Vertex AI and Gemini.
- Enforce Data Governance: Implement "Policy as Code," machine-readable data contracts, data quality observability, and strict privacy controls (GDPR, CCPA, PRO ID management).
Why This Role Matters As the definitive source of truth for Ford Pro’s commercial customers, PRO 360 is the engine behind Ford Pro’s growth and efficiency goals. This LL6 leadership role ensures that our data is scalable, AI-ready, and highly governed—directly enabling Ford Pro’s commercial success.
Job Responsibilities
Data Engineering:
- Lead Engineering Execution: Manage and mentor pods of data and software engineers to design, build, and deploy domain-driven data products on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow).
- Platform Modernization: Drive critical infrastructure initiatives, including the migration to GCP 3.0, adoption of DataOps packages, and the decommissioning of legacy tech debt to ensure highly performant and cost-optimized cloud operations.
- Ecosystem Integration: Architect real-time and batch data pipelines to ingest fragmented data and serve unified profiles to downstream operational systems, specifically Salesforce (Sales/Service Cloud), Marketing Cloud, and Ford Credit billing systems.
- Engineering Craftsmanship: Enforce rigorous engineering standards, ensuring 100% of PRO 360 repositories maintain SonarQube "A" ratings for reliability, security, and maintainability, and championing CI/CD automation.
- Technical Leadership: Act as the Directly Responsible Individual (DRI) for technical deployments, collaborating with Product Managers and Product Anchors to translate business OKRs into scalable technical backlogs.
AI Initiatives:
- AI Data Readiness: Architect and optimize data models to support high-priority machine learning initiatives ensuring training and inference pipelines are highly available and scalable.
- Agentic AI Enablement: Lead the data integration strategy for next-generation Agentic AI workflows (using Vertex AI, Gemini, and Agent Platforms), enabling autonomous lead generation, pipeline observability, and conversational AI dashboards.
- Feature Engineering & ML Ops: Collaborate closely with Data Scientists and AI Engineers to transition ML models from proof-of-concept to production, ensuring seamless integration into the PRO 360 ecosystem.
- Unstructured Data & RAG: Build pipelines to process and structure complex datasets (e.g., telematics, connected vehicle data, unstructured web leads) to feed into Large Language Models and Retrieval-Augmented Generation (RAG) frameworks.
Data Governance, Quality & Compliance:
- Data Contracts & Observability: Implement machine-readable data contracts (Schema, SLOs, and DQ rules) for top PRO 360 data products. Oversee automated data quality monitoring and anomaly detection using platform observability tools.
- Privacy & Compliance Controls: Architect and develop automated governance controls to map data assets to privacy classifications. Ensure strict adherence to GDPR and CCPA, including the automated management and suppression/deletion of consent data.
- Policy as Code: Translate business and regulatory policies into enforceable, automated standards within the CI/CD pipeline, eliminating manual configuration errors.
- Federated Data Sharing: Manage the governance of sharing PRO 360 data with internal pillars (FCSD, FPI, FMCC) and external partners (e.g., D&B, S&P) through secure, role-based, and attribute-based access controls.
Bachelor’s / Masters’s Degree in Computer Science, Data Engineering, Information Technology, or a related technical field.
Required Qualifications
- 10+ years of hands-on experience in Data Engineering, Data Architecture, or AI/ML Ops, with 3+ years in a technical leadership.
- Deep technical proficiency in Google Cloud Platform (GCP) data services, including BigQuery, Cloud Composer, Dataflow, Pub/Sub, and Dataplex.
- Proven track record of operationalizing AI/ML models and supporting GenAI/Agentic AI infrastructure (Vertex AI, LLM orchestration).
- Strong programming skills in Python and SQL, with proficiency in Terraform/IaC for infrastructure automation.
- Experience building and scaling Customer Data Platforms (CDPs), Master Data Management (MDM) solutions, or complex B2B data ecosystems.
- Familiarity with CRM integrations (specifically Salesforce) and enterprise billing/financial data flows.
- Strong understanding of enterprise data governance, data contracts, and global privacy regulations (GDPR, CCPA).
- Excellent communication skills with the ability to translate complex technical architectures to business stakeholders and executive leadership.
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, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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 leadership level 6 and ranges from $132,800-$250,800.
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.
Visa sponsorship is available for this position.
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. 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.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
LI-Hybrid
LI-GR1
See all Engineering Jobs at Ford Motor Company
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Jobs at Ford Motor Company.
Get Access To All JobsTips for Finding Engineering Jobs at Ford Motor Company
Align your credentials to Ford's EV priorities
Ford's engineering hiring has shifted heavily toward electrification and battery systems. If your degree or experience touches powertrain electrification, battery management, or EV software integration, lead with that in your resume and application materials.
Verify your degree meets specialty occupation standards
USCIS requires a direct nexus between your degree field and the specific engineering role. A mechanical engineering degree supporting a structural design role is clean. A general business degree for a systems engineering position creates H-1B petition risk, so position carefully.
Target Ford's Michigan-based engineering hubs first
Ford concentrates engineering headcount in Dearborn and surrounding Michigan facilities. Roles posted for these locations are more likely to sit within teams that have established sponsorship workflows, reducing delays caused by first-time approval processes at smaller regional sites.
Anticipate PERM timelines for permanent residency
If Ford sponsors your H-1B and you want a Green Card path, PERM labor certification through DOL can take 12 to 18 months before an I-140 petition even files. Ask about the employer's sponsorship policy for employment-based immigration during the offer negotiation stage.
Use Migrate Mate to filter Ford engineering roles by visa type
Not every Ford engineering posting is open to sponsored candidates. Filter by visa type on Migrate Mate to surface only the roles where sponsorship is confirmed, so you're applying to positions that are actually viable for your situation.
Time your F-1 OPT application to your target start date
USCIS requires OPT applications to be filed at least 90 days before your intended start date. If you're finishing an engineering degree and targeting Ford's summer or fall intake, file through your DSO early to avoid a gap that delays your offer acceptance.
Frequently Asked Questions
Does Ford Motor Company sponsor H-1B visas for Engineers?
Yes, Ford Motor Company sponsors H-1B visas for Engineering roles. Ford is an established H-1B employer with a track record across disciplines including mechanical, electrical, software, and manufacturing engineering. Sponsorship is most common for roles requiring a specific technical degree field that meets USCIS's specialty occupation standard, so the alignment between your degree and the job description matters.
Which visa types are commonly used for Engineering roles at Ford Motor Company?
Ford sponsors multiple visa categories for Engineering positions, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals under USMCA, and F-1 OPT and CPT for students in qualifying engineering programs. For candidates pursuing permanent residence, Ford also supports employment-based Green Card sponsorship through the EB-2 and EB-3 categories via PERM labor certification filed with the DOL.
What qualifications and experience does Ford Motor Company expect for sponsored Engineering roles?
Ford typically requires a bachelor's degree or higher in a relevant engineering discipline. For H-1B eligibility, the degree field must directly relate to the job duties under USCIS specialty occupation rules. Roles in electrification, autonomous systems, and advanced manufacturing often require demonstrated technical depth in those specific areas, with senior positions expecting several years of industry experience.
How do I apply for Engineering jobs at Ford Motor Company?
Browse open Engineering positions on Migrate Mate to find Ford roles that confirm visa sponsorship upfront. Apply through Ford's careers portal and tailor your resume to the specific engineering function. For sponsored roles, Ford's HR and immigration team manages the H-1B or other petition process after an offer is extended, so focus your application on demonstrating technical fit first.
How do I understand the timeline for getting an engineering role sponsored at Ford Motor Company?
The timeline depends on your visa type. H-1B petitions filed in the annual cap lottery have an October 1 start date, meaning offers made in early spring may not result in work authorization for six or more months. E-3 and TN visas process faster, often within weeks. F-1 OPT students should account for USCIS processing of up to 90 days when planning their start date.