Google Cloud Platform (GCP) Data Engineer

Summary

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

Skills

• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• Hands-on experience, certifications, industry training and more
• Accenture Federal Services offers a wide variety of benefits. [You can find more information on benefits here.](https://www.accenture.com/us-en/careers/your-future-rewards-benefits)