[Hiring] Senior Data Engineer @Ford

Role Description

We are looking for a skilled GCP Data Engineer to join our EPEO - Data and AI Ops team. In this role, you will play a critical part in designing, developing, and maintaining our Security Data Lake and associated data products using GCP Cloud platform.

• Design, develop, and maintain robust data pipelines using GCP native services.
• Build and manage data quality frameworks to ensure the integrity and reliability of security data assets.
• Integrate diverse data sources and security tools via APIs to centralize security oversight.
• Optimize database performance, query efficiency, and storage costs within Google BigQuery.
• (Preferred) Utilize Cribl to route, shape, and enrich incoming security telemetry and log data.
• Develop, deploy, and monitor automated data pipelines (ETL/ELT) using Python, SQL, and GCP services (such as Cloud Functions, Cloud Scheduler, and Dataflow).
• Manage and optimize schema designs, partitioning, and clustering in Google BigQuery to ensure cost-effective and high-performance querying.
• Implement and scale data quality and auditing frameworks using GCP Dataplex with centralized rules metadata configuration.
• Design and maintain robust API integrations (e.g., EAMS, TrendMicro, and other threat detection platforms) to ingest critical security logs.
• [Preferred/Good to Have] Configure and manage Cribl Stream pipelines (sources, destinations, routes, and functions) to parse, mask, enrich, and route security logs.
• [Preferred/Good to Have] Implement log reduction strategies in Cribl to optimize data ingestion and lower downstream storage costs.
• Partner with security teams to deliver actionable data products, reporting views, and tactical dashboards to prevent service outages.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Information Technology, or a related technical field (or equivalent combination of education and experience).
• 8+ years of professional experience in Data Engineering, Cloud Data Warehousing, or software development.
• 5+ years of hands-on experience designing and implementing production-grade solutions on Google Cloud Platform (GCP), specifically utilizing native services such as Google BigQuery, Cloud Run/Functions, and Cloud Storage, Dataflow, PubSub.
• High proficiency in Python and advanced SQL for building, optimizing, and troubleshooting complex ETL/ELT pipelines.
• Excellent written and verbal communication skills, with a proven ability to collaborate effectively with cross-functional teams in an agile environment.

Benefits

• Immediate medical, dental, vision and prescription drug coverage.
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more.
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more.
• Vehicle discount program for employees and family members and management leases.
• Tuition assistance.
• Established and active employee resource groups.
• Paid time off for individual and team community service.
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day.
• Paid time off and the option to purchase additional vacation time.