Platform Data Engineer: Cloud Pipelines & GCP

Ford; Dearborn (MI); Hybrid; USD 68,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Parental leave & child care support

Vehicle discount program

Job summary

Ford is seeking a Platform Software Engineer to join the Enterprise Data Platform team. You will work with engineering, operations, and architecture to optimize data ingestion and build scalable data pipelines on cloud platforms, primarily GCP.

The role covers backend microservices and frontend integration, with strong SDLC, Git, and CI/CD practices. Applicants should have a BS in Computer Science and 3+ years in cloud tech, with Java or Python, and experience with GCP services and Kubernetes.

Qualifications

• Proficient in Java or Python with cloud platform experience.
• Strong understanding of SDLC, CI/CD and Git workflows.
• Experience designing and building data pipelines and microservices.
• Experience with GCP services and data tooling is required.
• Experience in frontend and backend integration is a plus.

Responsibilities

• Design, build, and maintain scalable data pipelines and microservices.
• Architect SOA and microservices-based data solutions for analytics.
• Integrate front-end and back-end components for robust data access.
• Lead data ingestion from multiple sources and ensure data quality.
• Leverage GCP tools like BigQuery, Dataflow, Pub/Sub and Cloud Functions.
• Apply data governance, access controls, and security best practices.
• Monitor performance and optimize data storage and processing.
• Collaborate with data architects and engineers to define best practices.

Skills

Java

Spring Boot

REST APIs

JavaScript

HTML5

CSS3

Bootstrap

AngularJS

SQL

PostgreSQL

MySQL

SQL Server

Cloud platforms

GCP

Kubernetes

Terraform

Tekton

SonarQube

CI/CD

Git

Education

BS in Computer Science

Bachelor's in CS / Data Engineering or related field

Tools

GCP

BigQuery

Dataflow

Pub/Sub

Cloud Functions

Kubernetes

Terraform

Tekton

GCS

Git

Job description

Ford is seeking a Platform Software Engineer to join the Enterprise Data Platform team. You will work with engineering, operations, and architecture to optimize data ingestion and build scalable data pipelines on cloud platforms, primarily GCP.

The role covers backend microservices and frontend integration, with strong SDLC, Git, and CI/CD practices. Applicants should have a BS in Computer Science and 3+ years in cloud tech, with Java or Python, and experience with GCP services and Kubernetes.