Hybrid Cloud Data Platform Engineer (SDV/FNV)

Ford; Dearborn (MI); Hybrid; USD 102,000 - 166,000; Full time

Benefits offered by this job

Medical, dental, and prescription drug

Family care and parental leave

Vehicle discount program

Tuition assistance

Employee resource groups

Paid time off for community service

Paid holidays

Additional vacation time

Job summary

Ford Motor Company in Dearborn, Michigan, seeks a Software Engineer for Platform Systems (SDV/FNV). This hybrid role allows work from home and the Dearborn site; residing within a reasonable commuting distance is required.

You will design and build scalable data pipelines and microservices, apply SOA, and drive full-stack integration with secure data access and analytics across GCP services. Collaborate across teams to improve reliability and performance.

Qualifications

• Bachelor’s degree in a relevant field and 3 years of experience in the job offered or related occupation.
• 3 years of experience with each of the required skills: GitHub, full-stack integration, container technologies, and automation.

Responsibilities

• Design and build data pipelines, architect and maintain scalable pipelines and microservices.
• Leverage SOA and microservices to create modular, flexible data solutions.
• Own full-stack integration of front-end and back-end components for robust access and exploration.
• Lead data ingestion and integration from multiple sources into the data platform.
• Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions) for data solutions.
• Implement data governance, security controls, and performance optimization.

Skills

GitHub

Full-stack integration

Container technologies

Automation

Education

Bachelor’s degree (or foreign equivalent) in Software Engineering, Electrical Engineering, Computer Engineering or related field

Job description

Ford Motor Company in Dearborn, Michigan, seeks a Software Engineer for Platform Systems (SDV/FNV). This hybrid role allows work from home and the Dearborn site; residing within a reasonable commuting distance is required.

You will design and build scalable data pipelines and microservices, apply SOA, and drive full-stack integration with secure data access and analytics across GCP services. Collaborate across teams to improve reliability and performance.