Data Engineer

Ford Motor Company; Remote; USD 97,000 - 191,000; Full time

Job summary

A leading automotive manufacturer is looking for a Senior Data Engineer to architect and scale end-to-end data pipelines on GCP. Responsibilities include implementing robust CI/CD workflows, driving data governance, and mentoring junior talent. The ideal candidate should have a Master's Degree in Computer Science, extensive experience in data engineering, and strong skills in Python, SQL, and GCP. The position offers competitive compensation and various employee benefits.

Benefits

Medical, dental, vision, and prescription coverage

Paid parental leave and flexible family care days

Tuition assistance

Vehicle discount program for employees

Paid holidays and time off for community service

Qualifications

• 7+ years of experience in data engineering or similar role.
• 4+ years of hands-on experience with Google Cloud Platform or AWS.
• 4+ years experience in ETL/ELT design and data governance.

Responsibilities

• Design and implement end-to-end data pipelines for enterprise data.
• Migrate data assets to a centralized platform using Medallion architecture.
• Develop orchestration pipelines ensuring CI/CD workflows.

Skills

Data engineering

Google Cloud Platform

Python

SQL

CI/CD

Education

Master's Degree in Computer Science

Tools

Terraform

Airflow

BigQuery

Job description

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 BigQuery.

Key Responsibilities

• 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., BigQuery) 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 (BigQuery, Dataflow, Dataproc, GCS).
• Participate in on-call rotations and incident response to maintain high availability of data services.

You'll have...

• 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 (BigQuery, 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.

Even better, you may have...

• 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!

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.

This position is a salary grade 7 and ranges from $97,140-162,540.

This position is a salary grade 8 and ranges from $113,580-190,500.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

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. 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.

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Requisition ID : 58699