Finance Data Engineer: Scalable Cloud Pipelines

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

Benefits offered by this job

Medical & dental coverage

Parental leave

Tuition assistance

Vehicle discount

Paid holidays

Paid time off

Job summary

Ford Motor Company seeks a skilled Full Stack Data Engineer to build scalable data pipelines on Google Cloud Platform, focusing on finance data products. You will work with data warehousing concepts, automated infrastructure, and secure, high-performing solutions in an Agile environment.

You will partner with analytics stakeholders and engineers to deliver cost-efficient data platforms, while contributing to governance, quality, and production support at enterprise scale.

Qualifications

• Bachelor's degree in CS/IT or related field required.
• 3+ years building data solutions on Google Cloud Platform.
• 2+ years CI/CD implementations and DevOps growth.
• Experience in Agile/Scrum and cross-functional collaboration.
• Strong problem-solving, analytical, and communicative skills.
• Ability to work independently in a product-focused team.

Responsibilities

• Design, build, and operate batch and streaming data pipelines on GCP.
• Develop data warehousing architectures and analytical data products.
• Maintain infrastructure with Terraform; implement CI/CD pipelines.
• Collaborate with analytics stakeholders to optimize data workflows.
• Ensure data governance, quality monitoring, and lineage documentation.
• Apply TDD, fix vulnerabilities, and improve code quality with tools.

Skills

GCP

Data warehousing

Terraform

CI/CD

TDD

SonarQube

Checkmarx

Fossa

Cycode

DevOps

Agile/Scrum

Data governance

Education

Bachelor's degree in Computer Science, Information Technology, or a technology-related field

Tools

BigQuery

Dataflow

Docker

Tekton

Git

Job description

Ford Motor Company seeks a skilled Full Stack Data Engineer to build scalable data pipelines on Google Cloud Platform, focusing on finance data products. You will work with data warehousing concepts, automated infrastructure, and secure, high-performing solutions in an Agile environment.

You will partner with analytics stakeholders and engineers to deliver cost-efficient data platforms, while contributing to governance, quality, and production support at enterprise scale.