Data Engineer at Ford

Department: PD Operations and Quality

Compensation

$115,000 – $192,900/yr

Setup: On-site
Location: Dearborn, Michigan
Type: Full-time
Level: senior
Posted: Sep 30, 2026

Description

Ford Motor Company is hiring a Full Stack Data Engineer to design, build, and maintain end-to-end data solutions for its Ford Pro Intelligence telematics and fleet management business. The role covers data ingestion and ETL/ELT pipelines, RESTful and GraphQL APIs, semantic data layers, data catalogs, BigQuery optimization, data quality and monitoring, and data governance. Candidates need a bachelor's degree or equivalent experience, at least five years of relevant data or software engineering experience, and strong Python, Kotlin, Java, SQL, and BigQuery expertise. The position is remote, offers a salary of $115,000 to $192,900, and does not provide visa sponsorship.

Required Skills

Python
Kotlin
Java
Google BigQuery
REST/GraphQL APIs
Data governance
SQL
CI/CD
Data modeling

Additional Information

Minimum Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent relevant education and experience
Required Previous Experiences: 5+ years of experience in data engineering, software engineering, or a full-stack data role
3+ years demonstrating strong programming skills in Python, Kotlin, and Java
3 years of hands-on experience with Google BigQuery
3+ years designing and building REST or GraphQL APIs
3 years of practical experience building and maintaining a semantic layer
2+ years of experience with testing, monitoring, reliability, and maintainable software design
2+ years of experience with SQL and structured data
Preferred Qualifications: Master's degree in Computer Science, Engineering, Information Systems, or a related field
Experience documenting data flows, API specifications, semantic definitions, and system architecture
Experience with data catalog or metadata management tools
Strong SQL skills and Python experience for data pipeline development and automation
Experience with cloud platforms, preferably Google Cloud Platform
Understanding of data modeling concepts
Familiarity with Git and CI/CD practices
Understanding of data governance, security, and privacy best practices
Experience with Apache Airflow or Cloud Composer
Familiarity with dbt
Experience with Docker, Kubernetes, and Terraform
Exposure to streaming data platforms
Experience in automotive, manufacturing, or connected vehicle data
Knowledge of BI and visualization tools
Understanding of data mesh or domain-driven data architecture
Translation Company Name: Ford Motor Company