The Ford Credit team works every day to make Ford vehicles and services accessible to customers and to accelerate the profitable growth of Ford Motor Company. We provide financing, personalized service and professional expertise to thousands of Ford and Lincoln dealers and millions of customers around the world through all economic cycles.

In this Position…

We’re seeking a Data Engineer who has experience building data products on a cloud analytics platform. The candidate will be responsible for data ingestion, transformation, and analysis on large and complex 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. We are looking for candidates who have a broad set of technical skills across these areas.

You'll have…

Masters degree in Analytics and Data Science GCP Data Engineering Certified 5+ years of Data Engineering experience and 2+ years Ford Credit Data Engineering experience Experience in working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. Implement methods for automation of all parts of the pipeline to minimize labor in development and production Experience in analyzing complex data, organizing raw data, and integrating massive datasets from multiple data sources to build analytical domains and reusable data products Experience in working with architects to evaluate data pipelines for data ingestion, curation, and consumption Experience in working with stakeholders to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management

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, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare 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 leadership level 6.
For more information on salary and benefits, click here:  

https://fordcareers.co/GSR-HTHD

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.

What you'll do…

Work in collaborative environment that leverages paired programming Work on a small agile team to deliver curated data products  Work effectively with fellow data engineers, 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