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, or big data processing; 2+ years of hands-on GCP pipeline or data solution experience.
- Visa sponsorship
- Applicants in the US must have work authorization that does not now or in the future require visa sponsorship.
About the job
Designs and maintains GCP data pipelines and ETL processes, modernizes data platforms, and builds CI/CD pipelines for federal government missions.
What you'll do
- Build and optimize scalable batch and streaming pipelines, data transformations, and ETL processes using GCP services.
- Migrate legacy data stores and pipelines to cloud-native GCP architectures; implement data governance, quality checks, and secure access controls.
- Design automated CI/CD pipelines and collaborate with data scientists, infrastructure engineers, and mission stakeholders.
What they ask for
- 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.
- Strong Python programming skills and advanced SQL proficiency.
- Experience with ETL/ELT concepts and tools; active Top Secret (TS) security clearance required.
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
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