Data Engineer- Full Stack

As a Senior Data Engineer, you will architect and scale end-to-end data pipelines on GCP, transforming complex telemetry and enterprise data into high-quality, analytics-ready assets using Medallion architectures. You will lead the implementation of robust CI/CD workflows, rigorous data governance, and security controls while mentoring junior talent and driving engineering best practices. By collaborating with cross-functional stakeholders and optimizing cloud performance, you will ensure the data platform remains secure, cost-effective, and highly available to power critical business insights.

• Operational Excellence: Using Terraform, Git, and Airflow to ensure reproducible, secure, and cost-optimized cloud infrastructure.
• Governance & Quality: Prioritizing data lineage, PII protection, and observability to maintain high trust in data assets.
• Collaboration: Acting as a bridge between technical teams (Data Science, Security) and business stakeholders to deliver self-service analytics.
• Mentorship: Elevating the team through code reviews and documentation standards.
• Technical Leadership: Designing end-to-end ETL/ELT pipelines and migrating assets to centralized platforms like Big Query.

• 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.
• Migrate and modernize data assets to a centralized data platform (e.g., Big Query) using principled data lake/warehouse architectures (Bronze/Silver/Gold or Medallion architecture) to power analytics and reporting.
• Architect scalable data models and data warehouses, optimizing for query performance, maintainability, and cost efficiency.
• Develop and operate robust orchestration pipelines using Airflow/Astronomer or Schedule Query, with secure, reproducible CI/CD workflows (Terraform + Git).
• Build and maintain reliable data quality checks, lineage, and monitoring with observability tools (e.g., Splunk, Looker/Grafana/Tableau/Power BI dashboards) to rapidly detect and resolve data issues.
• Implement data governance, security, and compliance controls (data lineage, access controls, PII/PHI protection) in collaboration with security and privacy teams.
• Lead the design and delivery of analytics-ready data assets for cross-functional teams, including dashboards, alerts, and self-service analytics.
• Mentor and coach junior engineers, review code, and drive best practices in data engineering, testing, and documentation.
• Collaborate with data scientists, product managers, and business stakeholders to translate requirements into scalable data solutions and timely insights.
• Monitor cost and capacity planning for cloud resources; optimize storage and compute usage across GCP services (Big Query, Dataflow, Dataproc, GCS).
• Participate in on-call rotations and incident response to maintain high availability of data services.

• Master's Degree in Computer Science
• 7+ years of experience in data engineering, data platforms, or a similar role.
• 4+ years of hands-on experience with Google Cloud Platform (Big Query, Cloud Storage, Dataflow, Dataproc; Schedule Query or equivalent scheduling/orchestration) or AWS.
• 4+ years experience in Python and SQL; strong experience with PySpark is a plus.
• 4+ years experience with ETL/ELT design, data modeling, data warehousing, and data governance.

• 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) for monitoring and reporting.
• Strong communication skills and ability to work effectively with cross-functional teams (engineering, analytics, product, security).

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.

This position is a salary grade 7 and ranges from $97,.

This position is a salary grade 8 and ranges from $,500.

For more information on salary and benefits, :

Visa sponsorship is available for this…