Full Stack Software Engineer Jobs in Detroit, MI

We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

About the Role
Join the Connected Vehicle Data Team within Ford's GDIA (Global Data Insight & Analytics) organization to build and transform how we leverage vehicle data across the enterprise. Our team sits at the intersection of massive-scale data engineering, cloud infrastructure, and internal data tools. We build robust data pipelines, scalable backend services, and intuitive data-driven applications that turn complex, high-volume connected vehicle datasets into actionable insights for our business and customers.

In this role, you will not only build the data assets but also embody the Ford OS Behaviors-acting as a Builder who is curious and solves problems, Playing to Win by delivering high-quality data solutions, and Delivering the Promise to our business partners by ensuring data reliability and accessibility.

You'll have (Basic Qualifications)...

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• 1 to 3 years of professional experience in Software Engineering or Data Engineering (or equivalent strong internship/co-op experience).
• Strong programming skills in Python or Java for data processing and backend development.
• Proficiency in SQL with a solid understanding of relational databases, data modeling, and data warehousing concepts.
• Experience building and managing data pipelines (ETL/ELT) and integrating data from various sources.
• Basic experience developing web applications or APIs (frontend frameworks like React are a plus, but backend/data focus is primary).
• Understanding of containerization using Docker and version control using Git.
• A strong alignment with Ford OS Behaviors, demonstrating curiosity, teamwork, and a drive to deliver results.

Even better, you may have (Preferred Qualifications)...

• Strong proficiency in Java programming, with hands-on experience building scalable backend microservices and RESTful APIs using the Spring Boot framework.
• AI Engineering experience or exposure to building intelligent applications, including prompt/context/harness engineering, various knowledge bases, and validation methods.
• Hands-on experience with Google Cloud Platform (GCP), specifically with data tools like BigQuery, Cloud SQL, Pub/Sub, and workflow orchestration (e.g., Apache Airflow).
• Experience deploying applications to Cloud Run, Cloud Functions, or GKE.
• Basic understanding of continuous integration/continuous delivery (CI/CD) pipelines (e.g., GitHub Actions).

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 a salary grade 6 -8 and ranges from $85,400-$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.
For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is not 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-PS2  

You'll have (Basic Qualifications)...

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• 1 to 3 years of professional experience in Software Engineering or Data Engineering (or equivalent strong internship/co-op experience).
• Strong programming skills in Python or Java for data processing and backend development.
• Proficiency in SQL with a solid understanding of relational databases, data modeling, and data warehousing concepts.
• Experience building and managing data pipelines (ETL/ELT) and integrating data from various sources.
• Basic experience developing web applications or APIs (frontend frameworks like React are a plus, but backend/data focus is primary).
• Understanding of containerization using Docker and version control using Git.
• A strong alignment with Ford OS Behaviors, demonstrating curiosity, teamwork, and a drive to deliver results.

Even better, you may have (Preferred Qualifications)...

• Strong proficiency in Java programming, with hands-on experience building scalable backend microservices and RESTful APIs using the Spring Boot framework.
• AI Engineering experience or exposure to building intelligent applications, including prompt/context/harness engineering, various knowledge bases, and validation methods.
• Hands-on experience with Google Cloud Platform (GCP), specifically with data tools like BigQuery, Cloud SQL, Pub/Sub, and workflow orchestration (e.g., Apache Airflow).
• Experience deploying applications to Cloud Run, Cloud Functions, or GKE.
• Basic understanding of continuous integration/continuous delivery (CI/CD) pipelines (e.g., GitHub Actions).

What you'll do...

• Build robust data pipelines (Be a Builder): Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform large volumes of connected vehicle data using Python, Java, and SQL strictly on Google Cloud Platform (GCP).
• Develop backend services & APIs: Build RESTful APIs and microservices to expose vehicle data securely and efficiently to internal applications and downstream enterprise systems.
• Develop internal data tools: Build and maintain lightweight, intuitive frontend interfaces (e.g., React) and dashboards to help stakeholders visualize and interact with complex telemetry data.
• Leverage GCP Data Infrastructure: Work extensively with GCP data services such as BigQuery, Cloud Storage (GCS), Dataflow, or Cloud Composer (Airflow), deploying containerized workloads to Cloud Run or GKE.
• Ensure data quality & reliability (Deliver the Promise): Implement data validation, automated testing, and monitoring (using Cloud Logging/Monitoring) to ensure high availability and accuracy of our data products.
• Collaborate and innovate (Create Must-Have Products): Partner closely with Senior Data Engineers, Data Scientists, and Product Managers to understand data models and translate business needs into technical solutions.