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>Key Responsibilities</strong></p> <p><strong>Core Data & AI Pipeline Development</strong></p> <ul> <li>Build, maintain, and optimize batch and streaming data pipelines to support analytics and AI workloads.</li> <li>Ingest structured, semi structured, and unstructured datasets from APIs, databases, SaaS systems, streaming feeds, and file based sources.</li> <li>Transform, clean, enrich, and standardize data using Dataflow (Apache Beam), Dataproc (Spark), BigQuery SQL, and Python.</li> <li>Deliver high quality curated datasets into BigQuery for analytics, reporting, and machine learning training.</li> <li>Build and maintain ML ready feature pipelines supporting Data Scientists and ML Engineers.</li> </ul> <p><strong>Data Quality, Governance & Operations</strong></p> <ul> <li>Implement data quality checks, schema validation, and automated testing within pipelines.</li> <li>Monitor pipeline health and apply observability best practices using Cloud Monitoring and Cloud Logging.</li> <li>Apply governance, security, and compliance standards including IAM roles, encryption, data masking, and auditing.</li> <li>Enforce schema evolution policies, metadata management, and lineage tracking using Dataplex/Data Catalog.</li> <li>Maintain documentation for datasets, transformations, pipeline logic, and operational procedures.</li> </ul> <p><strong>Engineering & Collaboration</strong></p> <ul> <li>Write efficient, maintainable Python, SQL, Beam, and Spark code.</li> <li>Manage ingestion flows using Pub/Sub, GCS, APIs, Datastream, and database connectors.</li> <li>Optimize BigQuery tables, partitions, clustering, materialized views, and query performance.</li> <li>Implement and maintain DAGs with Cloud Composer (Airflow).</li> <li>Troubleshoot pipeline failures, latency issues, and data quality gaps.</li> <li>Participate in code reviews, architectural discussions, and agile sprint ceremonies.</li> <li>Collaborate with Data Architects, Data Scientists, ML Engineers, and business stakeholders.</li> <li>Develop and maintain Infrastructure as Code using Terraform and CI/CD deployment pipelines.</li> </ul> <p> </p> <p><strong>Required Qualifications</strong></p> <p></p> <ul> <li>Must be a U.S. Citizen with ability to obtain a Public Trust clearance.</li> </ul> <p></p> <ul> <li>Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related technical field.</li> <li>3–6+ years of hands on experience in data engineering or a similar technical field.</li> <li>Minimum three years of experience leading technical teams to achieve outcomes.</li> <li>Experience developing and implementing technical standards for cloud and on prem environments.</li> <li>Proven experience building production data pipelines on cloud platforms, preferably GCP.</li> <li>Hands on experience with BigQuery, GCS, Dataflow (Apache Beam), Dataproc (Spark), and Pub/Sub.</li> <li>Experience preparing ML ready datasets for model training.</li> <li>Strong background in SQL, Python, distributed data processing, and data modeling.</li> <li>Experience with governance, security, and compliance frameworks including IAM, encryption, data masking, and auditing.</li> <li>Familiarity with the following tool categories (VAEC Operational Tools): <ul> <li>Google Cloud Security tools</li> <li>Google Cloud Monitoring & Logging tools</li> <li>Google Cloud Networking</li> <li>Google Storage services</li> </ul> </li> </ul> <p> </p> <p><strong>Preferred Experience</strong></p> <ul> <li>Master’s degree in a technical field.</li> <li>Previous experience in Federal Government environments.</li> <li>Knowledge of regulated environments such as FedRAMP, HIPAA, PCI, NIST 800 53, and CIS benchmarks.</li> <li>Security certifications such as CISSP or CCSP.</li> <li>Experience with Vertex AI workflows or comparable ML platforms.</li> <li>Familiarity with Dataplex, data governance frameworks, and metadata management.</li> <li>Experience with Apache Kafka or other streaming technologies.</li> <li>Experience with Datastream for change data capture (CDC).</li> <li>Knowledge of regulated industries such as