[Hiring] Data Engineer @Ford

Role Description

Ford’s Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company’s vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You’ll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.

In this role...

• Architect and scale end-to-end data and AI pipelines on GCP, transforming complex telemetry and enterprise data into high-quality, analytics-ready assets using Medallion architectures.
• Design and integrate Gen AI capabilities — including LLM-powered data enrichment, retrieval-augmented generation (RAG), and intelligent automation — into the data platform.
• Lead the implementation of robust CI/CD workflows, rigorous data governance, and security controls while mentoring junior talent and driving engineering best practices.
• Collaborate with cross-functional stakeholders and optimize cloud performance to ensure the data and AI platform remains secure, cost-effective, and highly available.

What you'll do...

• Design and implement end-to-end data pipelines (ETL/ELT) that ingest, process, and curate large-scale enterprise data, including telemetry/vehicle data and other structured/unstructured sources.
• Build and maintain Gen AI pipelines — including embedding generation, vector store indexing, retrieval-augmented generation (RAG), and LLM orchestration.
• Migrate and modernize data assets to a centralized data platform (e.g., BigQuery) using principled data lake/warehouse architectures (Bronze/Silver/Gold or Medallion architecture).
• Architect scalable data models and data warehouses, optimizing for query performance, maintainability, cost efficiency, and downstream AI consumption.
• Develop and operate robust orchestration pipelines using Airflow/Astronomer or Schedule Query, with secure, reproducible CI/CD workflows (Terraform + Git).
• Integrate LLM APIs and AI services (e.g., Vertex AI, OpenAI, LangChain) into data workflows to automate data enrichment, classification, anomaly narratives, and natural-language interfaces.
• Build and maintain reliable data and model quality checks, lineage, and monitoring with observability tools (e.g., Splunk, Looker/Grafana/Tableau/Power BI dashboards).
• Implement data governance, security, and compliance controls in collaboration with security and privacy teams.
• Lead the design and delivery of analytics-ready and AI-ready data assets for cross-functional teams.
• Evaluate, prototype, and productionize emerging Gen AI capabilities to solve business problems and improve platform intelligence.
• Mentor and coach junior engineers on data engineering, AI/ML integration patterns, prompt engineering best practices, and documentation standards.
• Collaborate with data scientists, ML engineers, product managers, and business stakeholders to translate requirements into scalable data and AI solutions.
• Monitor cost and capacity planning for cloud and AI resources; optimize storage, compute, and token usage across GCP services.
• Participate in on-call rotations and incident response to maintain high availability of data and AI services.

Qualifications

• A bachelor's degree
• 5+ years of experience in data engineering, data platforms, or a similar role.
• 3+ years of hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Dataproc; Schedule Query or equivalent scheduling/orchestration) or AWS.
• 1+ years of experience working with Generative AI technologies — including LLMs, embeddings, vector databases, RAG architectures, or AI orchestration frameworks.
• 1+ year experience building Semantic Data layer to serve AI agents.

Requirements

• Practical experience building and operating data pipelines with orchestration tools (Airflow/Astronomer; Schedule Query).
• Experience with infrastructure-as-code and CI/CD (Terraform, Git, and related tooling).
• Demonstrated ability to design and implement analytics-ready data assets and dashboards; familiarity with BI tools (Looker, Tableau, Power BI, Grafana).
• Strong communication skills and ability to work effectively with cross-functional teams (engineering, analytics, product, security).

Benefits

• 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.