Full-Stack Data Engineer – GCP & Analytics

Ford; Detroit (MI); Hybrid; USD 85,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Family care days & parental leave

Vehicle discount program

Tuition assistance

Paid time off and holidays

Job summary

Ford is seeking a Connected Vehicle Data Engineer within the Global Data Insight & Analytics team. You will build data pipelines, backend services, and intuitive data tools to transform massive vehicle datasets into actionable insights for leadership and partners.

You will collaborate with data engineers, scientists, and product managers to translate business needs into reliable data solutions, leveraging GCP components and containerized workloads.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• 1 to 3 years of professional Software/Data Engineering experience.
• Strong programming in Python or Java for data processing and backend development.
• Proficiency in SQL, relational databases, data modeling and data warehousing concepts.
• Experience building and managing data pipelines (ETL/ELT).
• Basic experience developing web apps or APIs; frontend like React is a plus.

Responsibilities

• Build scalable ETL/ELT pipelines to ingest and transform large connected vehicle data on Google Cloud Platform.
• Develop RESTful APIs and microservices to expose vehicle data securely.
• Create frontend interfaces and dashboards to visualize telemetry data.

Skills

Python

Java

SQL

Docker

React

Education

Bachelor's degree in Computer Science, Engineering, Data Science

Tools

BigQuery

Cloud Storage (GCS)

Dataflow

Airflow

Cloud Run / GKE

Job description

Ford is seeking a Connected Vehicle Data Engineer within the Global Data Insight & Analytics team. You will build data pipelines, backend services, and intuitive data tools to transform massive vehicle datasets into actionable insights for leadership and partners.

You will collaborate with data engineers, scientists, and product managers to translate business needs into reliable data solutions, leveraging GCP components and containerized workloads.