At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.
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.
ResponsibilitiesWhat you'll be able to do:
Full Stack Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite. Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources. Ensure data is standardized, high-quality, and optimized for analytical use. Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines. Utilize your full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight. Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations. Implement and manage robust data governance policies, access controls, and security best practices, fully utilizing GCP's native security features to protect sensitive data. Employ Astronomer and Terraform for efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC). Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness. Collaborate effectively with data architects, application architects, service owners, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering. Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency. Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment. Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve our data platform and enhance our capabilities. Translate complex business requirements into optimized data asset designs and efficient code, ensuring that our data solutions directly contribute to business goals. Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability.
QualificationsYou'll have…
Bachelor’s degree or foreign equivalent in Information Systems, Data Analytics, Information Technology, Computer Science or a related field and 5 years of progressive, post-baccalaureate experience in the job offered or a related occupation. 5 years of experience with each of the following skills is required: 1. Working with manufacturing and supply chain processes, including order to part reconciliation and vehicle to feature mapping. 3 years of experience with each of the following skills is required: 1. Leading software and data engineering projects using Rally or JIRA to manage capacity and prioritization of work for cost benefit monitoring/tracking against business objectives. 2. Designing and implementing in Big Data Environments with expertise in Big Data tools including Python, SQL, DataForm, DataFusion, Alteryx, Qlik Sense, Qlik Replicate, Tekton, and Terraform. 2 years of experience with each of the following skills is required: 1. Designing and implementing in Google Cloud Platform to support data scientists’ use for analytics and artificial intelligence consumption. 2. Monitoring and optimizing cost and compute for processes in GCP technologies including BigQuery, Dataflow, Cloud Run, Dataproc, Pub/Sub, and Astronomer.
We are offering a salary of $138,486.00 - $178,098.96/yr.
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 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.
For a detailed look at our benefits, click here:
https://fordcareers.co/GSR-HTHD
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.
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Skills Required
- Bachelor's degree (or foreign equivalent) in Information Systems, Data Analytics, IT, Computer Science or related field plus 5 years progressive post-baccalaureate experience
- 5 years experience working with manufacturing and supply chain processes, including order-to-part reconciliation and vehicle-to-feature mapping
- 5 years experience with Python and SQL for big data engineering and analytics
- 3 years leading software and data engineering projects using Rally or JIRA for capacity and prioritization
- 3 years designing and implementing in Big Data environments using Dataform, DataFusion, Alteryx, Qlik Sense, Qlik Replicate, Tekton, and Terraform
- 2 years designing and implementing solutions on Google Cloud Platform to support analytics and AI consumption
- 2 years monitoring and optimizing cost and compute in GCP technologies including BigQuery, Dataflow, Cloud Run, Dataproc, Pub/Sub, and Astronomer
- Experience with DBT or Dataform for data transformations and pipeline orchestration (as stated in description)
- Experience using Astronomer for workflow management and Terraform for infrastructure provisioning (IaC)
- Must live within reasonable commuting distance to Dearborn, Michigan (hybrid work requirement)
- Must be legally authorized to work in the United States (verification required at hire)
Ford Motor Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ford Motor Company and has not been reviewed or approved by Ford Motor Company.
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Pay Growth & Progression — The 2023 UAW–Ford agreement delivered immediate raises, restored cost-of-living adjustments, and accelerated progression to top rates for many hourly roles. These changes improved earnings trajectories compared with pre-2023 levels.
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Healthcare Strength — Hourly employees retained very low employee cost-sharing under the 2023–2028 UAW–Ford agreement, and salaried materials describe comprehensive day‑one medical, dental, and prescription coverage. Mental-health support and family‑building benefits add depth to the overall health package.
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Retirement Support — U.S. salaried roles feature a notable 401(k) contribution and match structure, and post‑2023 updates increased retirement contributions for many UAW‑represented employees. Together these elements strengthen long‑term financial security.
Ford Motor Company Insights
What We Do
Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
