Google Cloud Platform (GCP) Data Engineer

<div class="content-intro"><div> <div> </div> <div>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. </div> <div> </div> <div>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. </div> <div> </div> <div>Join us to drive positive, lasting change that moves missions and the government forward!</div> <div> </div> </div></div><p><strong>Job Description</strong>:</p> <p>Accenture Federal Services is looking for a specialized Google Cloud Platform (GCP) Data Engineer to support strategic data and workload migrations. In this role, you will be responsible for designing and building robust, secure data architectures and pipelines on GCP. You will help modernize federal data landscapes, enabling advanced analytics and data-driven decision-making for critical mission objectives.</p> <p><strong>The work you'll do</strong>:</p> <ul> <li>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).</li> <li>Implement performance tuning (partitioning, broadcast joins, caching, shuffle optimization).</li> <li>Integrate data from multiple sources (databases, APIs, cloud storage, potentially streaming).</li> <li>Migrate legacy data stores and ETL pipelines to modernized, cloud-native architectures on GCP.</li> <li>Develop scalable batch and real-time streaming data pipelines using Python, SQL, and <strong>Apache Beam</strong>.</li> <li>Implement data governance, data quality checks, and secure data access controls in alignment with strict federal security requirements.</li> <li>Collaborate with data scientists, cloud infrastructure engineers, and mission stakeholders to optimize data models and query performance.</li> <li>Design and Implement <strong>CI/CD Pipelines</strong>: Architect and build robust, automated CI/CD pipelines to streamline the build, test, and deployment processes from