Entry Level Full Stack Developer Jobs in Farmington, 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.

In this position...

As a Full Stack Data Engineer supporting the Connected Vehicle Data Team, you will play a key role in designing, developing, and maintaining applications, services, and data solutions that enable connected vehicle data use cases across the enterprise. This role is ideal for a mid-level engineer who enjoys working across both backend and frontend technologies while building scalable, cloud-native applications. You will leverage modern software engineering practices, cloud platforms, event-driven architectures, and data engineering principles to develop reliable, data-driven solutions.

You'll Have...

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related technical field.
• 1 to 3 years of professional software engineering or data engineering experience, or equivalent strong internship/co-op experience.
• Hands-on experience with Java and Spring Boot for backend services, REST APIs, or micro services.
• Basic experience with frontend development using React, Angular, TypeScript, JavaScript, HTML, or CSS.

Even Better, you may have....

• Experience or exposure to connected vehicle, IoT, telemetry, streaming, or large-scale data platform use cases.
• Exposure to AI engineering concepts such as prompt/context engineering, RAG patterns, embeddings, knowledge bases, LLM APIs, or output validation.
• Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Gemini, Claude, or similar tools to improve productivity, code quality, test generation, or documentation.
• Experience with Git, CI/CD pipelines, and automated testing frameworks such as JUnit or similar tools.
• Curiosity, strong problem-solving skills, and a willingness to learn across software, cloud, and data engineering areas.

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 and ranges from $85,400-$143,200., 

This position is a salary grade 7 and ranges from $99,600-$166,600. 
 

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

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-VO1 

What you'll do...

• Design, develop, test, deploy, and support full stack applications, APIs, dashboards, and internal data tools.
• Build backend services and REST APIs using Java, Spring Boot, SQL, and related technologies.
• Contribute to frontend applications using React or Angular, TypeScript, JavaScript, HTML, and CSS.
• Support event-driven data flows using Kafka, Pub/Sub, or similar messaging platforms.
• Deploy and operate applications on OpenShift, Kubernetes-based platforms, and Google Cloud Platform.
• Work with GCP services such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, Cloud Logging, and Cloud Monitoring.
• Implement automated testing, validation, monitoring, alerting, and operational dashboards to improve reliability and trust in data products.
• Support CI/CD, release readiness, production troubleshooting, runbooks, and incident resolution.
• Partner with product owners, architects, software engineers, data engineers, platform teams, and business stakeholders to deliver high-quality solutions.
• Apply secure coding, API security, access management, privacy, and data governance practices.