Subscription Data Engineer

Job Description

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 Subscription Data Engineer is responsible for designing, building and maintaining robust data and analytics solutions through a blend of business acumen, data and analytics proficiency and technology.

• Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
• Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key decisions and platform operations
• Collaborate with stakeholders to understand current and future data requirements
• Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
• Partner with Data Science and Data Management teams to improve data completeness, usability, and reporting
• Use advanced visualization and business intelligence tools
• Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc.
• Support an environment that enables continuous improvement and contribute to establishing a learning organization

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering or related field
• 5+ years of hands‑on data engineering and subscription management experience
• Experience and proficiency in SQL, including writing complex queries, performing joins, aggregating data, and optimizing queries to extract data
• Experience with a data analysis programming language (e.g., Python or R)
• Proficiency with data visualization and Business Intelligence (BI) Tools
• Proven ability to Clean, Transform, and Prepare Data for Analysis:
  Understanding common data issues (missing values, inconsistencies, outliers) and techniques to address them efficiently.
• Strong Analytical and Critical Thinking Skills, including the ability to understand business problems, formulate relevant analytical questions, interpret data, identify trends and patterns, and draw actionable conclusions.

• Previous experience with Cloud Data Platforms (e.g., AWS S3, Redshift, Azure Data Lake/Synapse, Google Big Query), including familiarity with accessing, querying, or working with data stored in cloud environments.
• Experience with version control systems, particularly Git for collaborating on code, managing changes, and maintaining project history
• Understanding of common metrics, challenges, and data sources specific to subscription management
• Experience presenting and communicating data or insights to senior leadership

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!

• 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 a detailed look at our benefits, :

This position is a range of salary grades 8.

Visa sponsorship is 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.

• Associate

• Full‑time

• Information Technology

• Motor Vehicle Manufacturing