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 an exciting opportunity for you to join our expanding area of Prognostics.
Are you enthusiastic to mine raw data and realize its hidden value by building amazing, connected data solutions that benefit our customers? Would you love to accelerate our efforts in implementing advanced physics and ML Models in production?
The Data Engineer role resides within the Ford’s Electric Vehicle organization. In this role, you will work on building scalable and robust data pipelines to process large volumes of connected vehicle data to support the Ford vehicle prognostic initiatives.
You will have...
- Master’s degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6+ years with Bachelor's Degree).
- 4 years of professional experience in:Data engineering, data product development and software product launchesAt least three of the following languages: Java, Python, Spark, Scala, SQL
- 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using:Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.Workflow orchestration tools like Airflow.Relational Database Management System like MySQL, PostgreSQL, and SQL Server.Real-Time data streaming platform like Apache Kafka, GCP Pub/SubMicroservices architecture to deliver large-scale real-time data processing application.REST APIs for compute, storage, operations, and security.DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker.Project management tools like Atlassian JIRA.
Even better if you have...
- . or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a related field.
- 2 years of experience with ML Model Development and/or MLOps.
- Committed code to improve open-source data/software engineering projects
- Experience architecting cloud infrastructure and handling application migrations/upgrades.
- GCP Professional Certifications.
- Demonstrated passion to mine raw data and realize its hidden value.
- Passion to experiment/implement state of the art data engineering methods/techniques.
- Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.
- Experience implementing methods for automation of all parts of the pipeline to minimize labor in development and production.
- Analytics skills to profile data, troubleshoot data pipeline/product issues.
- Ability to simplify, clearly communicate complex data/software ideas/problems and work with cross-functional teams and all levels of management independently.
You may not check every box, or your experience may look a little different from what we have outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
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 range of salary grades 6-8 .
Visa sponsorship is not available for this position.