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! We are looking for a Data Engineer with strong hands‑on experience designing, developing, and managing large‑scale data workflows across structured and unstructured datasets. This role focuses heavily on building reliable RAG (Retrieval-Augmented Generation) pipelines, orchestrating ETL/ELT processes, and deploying scalable data systems in AWS. Responsibilities Design, build, and maintain RAG pipelines, including document ingestion, indexing, embedding workflows, and model retrieval flows. Develop and manage structured and unstructured data pipelines supporting analytics, ML, and application workloads. Build and optimize ETL/ELT pipelines in AWS using services such as S3, Lambda, Step Functions, EMR, Glue, ECS/EKS, and IAM best practices. Implement and operate NiFi flows for high‑throughput, low‑latency data ingestion and transformation. Develop, orchestrate, and schedule workflows using Prefect, ensuring reliability, observability, and proper error handling. Implement indexing, search, and retrieval patterns using ElasticSearch, including schema design, cluster management, and query optimization. Collaborate closely with architecture, ML, and application teams to support scalable data solut