Google Cloud Platform (GCP) Data Engineer
$100,200–$203,400 year
On-siteArlington, Virginia, United States
Job Summary
Design, develop, and maintain robust data pipelines and ETL processes using GCP native services like BigQuery, Cloud Storage, and Dataflow. Implement performance tuning, integrate data from multiple sources, and migrate legacy data stores to modernized cloud-native architectures. Develop scalable batch and real-time streaming pipelines in Python and SQL while enforcing data governance, quality checks, and secure access controls aligned with federal security requirements. Architect and build automated CI/CD pipelines to streamline deployment from development through production. Collaborate with data scientists and mission stakeholders to optimize data models and query performance. Active Top Secret security clearance is required.
Required Qualifications
- 3 to 5+ years of experience in data engineering, data warehousing, or big data processing
- 2+ years of hands-on experience building data pipelines and/or data solutions on Google Cloud Platform (BigQuery, Dataflow, Cloud Composer)
- Strong programming skills in Python
- Advanced proficiency in SQL
- Experience with ETL/ELT concepts and tools
- Active Top Secret (TS) security clearance
Desired Qualifications
- Google Cloud Professional Data Engineer Certification
- Experience with migrating legacy relational databases (e.g., Oracle, SQL Server) to cloud-native databases (e.g., Cloud SQL, AlloyDB, Spanner)
- Familiarity with federal data strategies, RMF, and Impact Level 4/5 (IL4/IL5) security and compliance standards
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