Data Engineer
Dearborn, MI, United States
Ford Motor Company
Since 1903, we have helped to build a better world for the people and communities that we serve. Welcome to Ford Motor Company.We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?
The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world.
In this position...
- You will work on ingesting, transforming, and analyzing large datasets to support the Enterprise in the Data Factory on Google Cloud Platform (GCP).
What you'll do...
- We're seeking a Data Engineer who has experience building data products on a cloud analytics platform. You will work on ingesting, transforming, and analyzing large datasets to support the Enterprise in the Data Factory on Google Cloud Platform (GCP). Experience with large scale solution and operationalization of data lakes, data warehouses, and analytics platforms on Google Cloud Platform or other cloud environments is a must.
- The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world.
- 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 will work on ingesting, transforming, and analyzing large datasets to support the Enterprise Securitization Solution
- Experience with large scale solution and operationalization of data lakes, data warehouses, and analytics platforms on Google Cloud Platform or other cloud environments is a must
- Work in collaborative environment that leverages paired programming
- Work on a small agile team to deliver curated data products
- Work effectively with product owners, data champions and other technical experts
- Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions
- Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles
- Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies
You'll have...
- 5+ years of SQL development experience
- 5+ years of analytics/data product development experience required
- 3+ years of Google cloud experience with solutions designed and implemented at production scale
- Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, Dataflow, Dataproc, etc
- 2+ Experience working with Airflow for scheduling and orchestration of data pipelines
- 1+ Experience working with Terraform to provision Infrastructure as Code
- 2 + years professional development experience in Python
Even better, you may have...
- In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures
- Experience with development eco-system such as Tekton/Cloud Build, Git
- Experience in working with DBT/Dataform
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.
For more information on salary and benefits, click here: https://fordcareers.co/GSR-HTHD
This position is a range of salary grades 7-8 .
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 committed to a culturally diverse workforce. 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.
#LI-Hybrid #LI-FordCredit #LI-MK2
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture BigQuery CX Dataflow Data pipelines Dataproc Data warehouse dbt Engineering GCP Git Google Cloud Pipelines Python SQL Streaming Terraform
Perks/benefits: Career development Fertility benefits Flex hours Flex vacation Health care Medical leave Parental leave
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