GCP Data Engineer — Finance Analytics & Pipelines

Ford Motor Company; Dearborn (MI); On-site; USD 85,000 - 143,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Tuition assistance

Vehicle discount program

Paid time off

Job summary

Ford Motor Company is seeking a Full Stack Data Engineer to design and build scalable data pipelines on Google Cloud Platform, powering finance reporting and analytics. You will work in an Agile, cross-functional environment with analytics stakeholders to deliver secure, high-quality data products at enterprise scale.

The role emphasizes data governance, cost efficiency, and continuous improvement, with opportunities to influence the direction of finance data platforms and engineering practices

Qualifications

• 3+ years of hands-on experience building and deploying data solutions on Google Cloud Platform.
• 2+ years of experience with CI/CD and DevOps enhancements.
• Experience in Agile/SCRUM environments and cross-functional collaboration.
• Strong problem-solving, analytical thinking, and clear communication of complex concepts.
• Ability to work independently while contributing as part of a product-oriented team.

Responsibilities

• Design, build, and scale batch and streaming data pipelines on GCP for finance data.
• Develop analytical data products using solid data warehouse principles and modeling.
• Maintain and enhance infrastructure using Terraform and CI/CD pipelines.
• Collaborate with analytics stakeholders to optimize data workflows and presentation.
• Ensure data governance, quality monitoring, and data lineage documentation.
• Write clean, reliable code with TDD in an Agile environment and address security concerns.

Skills

GCP

Data pipelines

Data warehousing

CI/CD

DevOps

SQL

Python

BigQuery

Education

Bachelor's degree in CS/IT or related field

Tools

Terraform

CI/CD

Docker

Kubernetes

SonarQube

Checkmarx

Fossa

Cycode

Job description

Ford Motor Company is seeking a Full Stack Data Engineer to design and build scalable data pipelines on Google Cloud Platform, powering finance reporting and analytics. You will work in an Agile, cross-functional environment with analytics stakeholders to deliver secure, high-quality data products at enterprise scale.

The role emphasizes data governance, cost efficiency, and continuous improvement, with opportunities to influence the direction of finance data platforms and engineering practices