Subscription Data Engineer at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Apr, 26

Salary

0.0

Posted On

09 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Data Engineering, Subscription Management, SQL, Python, R, Data Visualization, Business Intelligence, Data Analysis, Data Modeling, Data Pipelines, Data Management, Analytical Skills, Critical Thinking, Cloud Data Platforms, Version Control, Communication Skills

Industry

Motor Vehicle Manufacturing

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? Subscription Services play a critical part in shaping the future of Ford, enhancing vehicle sales and improving customer loyalty. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance subscription services capabilities and deliver a first-class customer experience, this is the opportunity for you. 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. What you'll do... 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 You'll have... 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. Even better, you may have… Previous experience with Cloud Data Platforms (e.g., AWS S3, Redshift, Azure Data Lake/Synapse, Google BigQuery), 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! 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 a detailed look at our benefits, click here: https://fordcareers.co/GSR-HTHD 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. #LI-Hybrid

Responsibilities

The Subscription Data Engineer is responsible for designing, building, and maintaining data and analytics solutions to support data-driven decision-making. This includes collaborating with stakeholders to understand data requirements and implementing scalable data solutions.