Google Cloud Platform (GCP) Data Engineer

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work you'll do : 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 Here's what you'll need : 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 and advanced proficiency in SQL. Experience with ETL/ELT concepts and tools. Bonus points if you have : 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. Security clearance : Active Top Secret (TS) security clearance is required. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $100,200 — $203,400 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for…