Google Cloud Platform (GCP) Data Engineer
United States of America
Full Time
2 days ago
$100,000 - $203,000 USD
No H1B
Key skills
Google Cloud PlatformBigQueryCloud StorageDataflowDataprocPub/SubPythonSQLApache BeamETL/ELTCI/CD PipelinesData EngineeringData WarehousingData PipelinesData GovernanceData Quality ChecksSecure Data Access ControlsLegacy Database MigrationCloud SQLAlloyDBSpannerETLELTGCPGoogle CloudOracleSQL ServercomposerCachingCI/CD
About this role
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve citizens' lives. They are seeking a Google Cloud Platform (GCP) Data Engineer to design and build secure data architectures and pipelines, supporting data-driven decision-making for mission-critical objectives.
Responsibilities:
- Design, develop, and maintain robust data pipelines and ETL processes that enable the seamless integration, cleansing, harmonization, and transformations in large-scale data processing systems and data lakes/data warehouses using GCP native services (BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub)
- Implement performance tuning (partitioning, broadcast joins, caching, shuffle optimization)
- Integrate data from multiple sources (databases, APIs, cloud storage, potentially streaming)
- Migrate legacy data stores and ETL pipelines to modernized, cloud-native architectures on GCP
- Develop scalable batch and real-time streaming data pipelines using Python, SQL, and Apache Beam
- Implement data governance, data quality checks, and secure data access controls in alignment with strict federal security requirements
- Collaborate with data scientists, cloud infrastructure engineers, and mission stakeholders to optimize data models and query performance
- Design and Implement CI/CD Pipelines: Architect and build robust, automated CI/CD pipelines to streamline the build, test, and deployment processes from development through to production environments
Requirements:
- 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 (BigQuery, Dataflow, and/or Cloud Composer)
- Strong programming skills in Python and advanced proficiency in SQL
- Experience with ETL/ELT concepts and tools
- Active Top Secret (TS) or Interim TS security clearance is required
- 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