Remote Senior GCP Data Engineer - Security Data Lake

Ford Motor Company; Montpelier (VT); On-site; USD 100,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Parental/family leave

Tuition assistance

Paid holidays

Paid time off

Job summary

Ford Motor Company is seeking a seasoned GCP Data Engineer to join the EPEO - Data and AI Ops team in the United States. You will design, develop, and maintain our Security Data Lake and related data products using GCP, focusing on scalable pipelines, data quality, and secure data integrations.

The role requires 8+ years in data engineering, strong Python/SQL skills, and hands-on GCP experience with BigQuery, Dataflow, and Cloud Functions.

Qualifications

• 8+ years of professional data engineering or software development experience.
• 5+ years designing on Google Cloud Platform.
• Experience with security data lakes or data products is a plus.

Responsibilities

• Design, develop, and maintain data pipelines on GCP.
• Build data quality frameworks to ensure data integrity.
• Integrate diverse data sources and security tools via APIs.
• Optimize BigQuery performance and storage costs.
• Develop, deploy, and monitor ETL/ELT pipelines using Python and SQL.
• Collaborate with security teams to deliver actionable data products.

Skills

Python

SQL

BigQuery

GCP

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

BigQuery

Cloud Functions

Dataflow

Dataplex

Cribl

APIs

Job description

Ford Motor Company is seeking a seasoned GCP Data Engineer to join the EPEO - Data and AI Ops team in the United States. You will design, develop, and maintain our Security Data Lake and related data products using GCP, focusing on scalable pipelines, data quality, and secure data integrations.

The role requires 8+ years in data engineering, strong Python/SQL skills, and hands-on GCP experience with BigQuery, Dataflow, and Cloud Functions.