CX Products Engineer

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Job Description

Dynamic Pricing & Yield Management

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?

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence‑based, timely decision making.

In this position, you will work as part of an implementation team from concept to operations, providing deep technical subject‑matter expertise for successful deployment of the Data Platform. Implement methods for automation of all parts of the pipeline to minimize labor in development and production.

• Identify, develop, evaluate, and summarize Proof of Concepts to prove out solutions
• Test and compare competing solutions and report out a point of view on the best solution
• Experience with large‑scale solutioning and operationalization of data warehouses and analytics platforms on GCP
• Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services:
  Big Query, Data Flow, Pub/Sub, Data Proc, SQL, Compute Engine, Cloud Functions
• Orchestration tools like Apache Airflow; build new/enhance data products in GCP.

Responsibilities

• Provide technical guidance, mentorship, and code-level support to the development team
• Work with the team to develop and implement solutions using GCP tools (Big Query, GCS, Dataflow, Dataproc, etc.)
• Ensure adherence to security, legal, and Ford standard/policy compliance
• Drive effective and efficient delivery from the team, focusing on speed, identify risks and implement mitigation/contingency plans
• Assess the overall health of the product and raise key decisions
• Lead the design and architecture of complex systems, ensuring scalability, reliability, and performance
• Analyze and optimize the performance of data pipelines and related services to ensure efficiency and cost‑effectiveness when dealing with large datasets
• Participate in code reviews and contribute to improving code quality
• Champion Agile software processes, culture, best practices, and techniques
• Ensure implementation of Dev Sec Ops  and software craftsmanship practices (CI/CD, TDD, Pair Programming)

Qualifications

• Experience
  
  Required:
  
  Minimum 5 Years of Experience in Java/python in‑depth
• Minimum 5 Years of Experience in data engineering pipelines/building data warehouse systems with ability to understand ETL/ELT principles and write complex SQL queries. Minimum 5 Years of GCP experience working in GCP based Big Data deployments (Batch/Real‑Time) leveraging Big Query, Google Cloud Storage, Pub Sub, Data Fusion, Dataproc
• Minimum 2 years of experience in development using Data warehousing, Big Data
• 3 Years of experience deploying Google Cloud services using Terraform

Education Required

• Bachelors or masters in required field

Experience Preferred

• Experience working with AI/LLM models, leveraging Generative AI
• Understands data architectures and design independent of the technology
• Experience with Big Query, SQL
• Experience with Python, Apache Airflow
• Exceptional problem‑solving and communication skills and management of multiple stakeholders
• Experience in working with Agile and Lean methodologies
• Experience with Test‑Driven Development
• Exposure to AI/LLM

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…