Accenture
Google Cloud Platform (GCP) Data Engineer
$100K–$203K
Arlington, VA +1 · Full-time · Posted Jul 20, 2026
- Location
- Arlington, VA
Arlington, Virginia, United States - Experience
- 3 to 5+ years in data engineering, data warehousing, and/or big data processing; 2+ years building GCP data pipelines and/or solutions.
- Visa sponsorship
- Applicants must have US work authorization that does not now or in the future require visa sponsorship.
About the job
Designs and builds secure GCP data architectures and pipelines, migrates legacy data systems, and supports federal analytics and mission needs.
What you'll do
- Build and maintain data pipelines, ETL processes, and batch or streaming workflows on GCP; tune performance and integrate data from multiple sources.
- Migrate legacy data stores and pipelines to cloud-native GCP architectures, implementing governance, data quality, and secure access controls.
- Build CI/CD pipelines and collaborate with data scientists, infrastructure engineers, and mission stakeholders on data models and query performance.
What they ask for
- 3 to 5+ years of experience with data engineering, data warehousing, and/or big data processing.
- 2+ years of hands-on experience building data pipelines and/or data solutions on Google Cloud Platform.
- Strong Python skills and advanced SQL proficiency; experience with ETL/ELT concepts and tools.
- Active Top Secret (TS) or Interim TS security clearance.
Nice to have
- Google Cloud Professional Data Engineer Certification.
- Experience migrating legacy relational databases to cloud-native databases; familiarity with federal data strategies, RMF, and IL4/IL5 standards.
Pay
$100,200 — $203,400 USD (base salary)
Tools
Google Cloud Platform, BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Python, SQL
Model-written summary · the original posting is authoritative