Note: The job is a remote job and is open to candidates in USA. Ford Motor Company is seeking a Senior Data Engineer to join its EPEO - Data and AI Ops team. The role focuses on designing, developing, and maintaining a GCP-based Security Data Lake and related data products, including secure data pipelines, quality frameworks, API integrations, and analytics dashboards.
Responsibilities
- 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
Skills
- **Education**: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Technology, or a related technical field (or equivalent combination of education and experience)
- **Experience:** 8+ years of professional experience in Data Engineering, Cloud Data Warehousing, or software development
- **Cloud Expertise:** 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
- **Programming & Querying:** High proficiency in Python and advanced SQL for building, optimizing, and troubleshooting complex ETL/ELT pipelines
- **Collaboration:** Excellent written and verbal communication skills, with a proven ability to collaborate effectively with cross-functional teams in an agile environment
- Candidates for positions with Ford Motor Company must be legally authorized to work in the United States
Benefits
- Remote work arrangement
- 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
- Family building benefits including adoption and surrogacy expense reimbursement
- Fertility treatments
- Vehicle discount program for employees and family members
- 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
- Option to purchase additional vacation time
Company Overview