Full Stack Data Engineer

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.

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

You'll have... 

Bachelor’s degree or foreign equivalent in Computer Engineering, Electrical Engineering, Information Technology or a related field and 7 years of progressive, post-baccalaureate experience in the job offered or a related occupation.   7 years of experience with the following skill is required:  1. Using Java and Spring Boot to stream and decode connected vehicle data, enabling high-throughput processing and near real-time data availability.  5 years of experience with each of the following skills is required:  1. Utilizing Kafka, PubSub, OpenShift, Cloud Run or Data Flow by using real time streaming technology. 2. Utilizing databases Spanner, PG SQL or BigQuery.  3 years of experience with each of the following skills is required:  1. Utilizing ApacheBeam, SpringBoot, Dataflow, Airflow, BigQuery, Cloud Storage, Cloud Build, or Cloud Run by applying GCP Cloud data implementation projects experience.  2. Utilizing SpringBoot framework to build high volume streaming. 2 years of experience with the following skill is required:  1. Managing large volumes of connected vehicle data for tracking, analysis, and issue resolution using tools including OpenShift, Kafka, or dataflow.  1 year of experience with the following skill is required:  1. Using Jira in Agile environments to streamline task management and sprint tracking, enabling efficient development of high-throughput systems using Java and Spring Boot for connected vehicle data by leveraging Jira’s collaboration and reporting features to support team productivity, transparency, and near real-time data availability.

We are offering a salary of $147,077.00 - $192,925.08/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

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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What 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. Design, develop, and maintain scalable data ingestion and curation pipelines from diverse sources, ensuring data is standardized, high-quality, and optimized for analytical use. Leverage Python, SQL, and DBT/Data form to build robust and efficient data pipelines and support seamless end-to-end development, ensuring smooth and reliable data flow from source to insight. Use GCP services (BigQuery, Dataflow, Pub/Sub, and Cloud Functions) to build and manage data platforms that meet and exceed business needs. Implement data governance policies, access controls, and security best practices, utilizing GCP's native security features to protect sensitive data. Employ Astronomer and Terraform for data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaaC). 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 apply cloud data engineering best practices, design patterns, and frameworks. Automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency. Communicate complex technical decisions to both technical and non-technical stakeholders. Translate complex business requirements into optimized data asset designs and efficient code, ensuring that 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.