Data Engineer

Accenture Federal Services•Arlington, VA

About The Position

At Accenture Federal Services, our purpose is to help the US federal government make the nation stronger and safer, and improve the lives of its citizens. Our team of over 13,000 professionals is dedicated to leveraging technology and innovation for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within the global Accenture network. We are recognized as a Glassdoor Top 100 Best Place to Work, offering a supportive community where you can grow, learn, and thrive through hands-on experience, certifications, and industry training. Contribute to positive, lasting change that advances missions and the government.

Requirements

Experience in Distributed data processing
Experience in Streaming architectures
Experience in Enterprise Data Layer implementation
Experience in Data lineage and metadata
Experience in AI-ready data pipelines
Experience in Multi-source data fusion
US Citizen
Active TS/SCI Clearance

Nice To Haves

Ability to collaborate across multidisciplinary teams and adapt to evolving enterprise AI governance and agentic AI system requirements will be essential for delivering scalable and resilient software solutions.

Responsibilities

Design, build, and maintain distributed data processing pipelines to support operational AI adoption.
Develop and optimize streaming architectures for real-time and batch data ingestion and transformation.
Implement and manage an Data Layer, ensuring robust data lineage and metadata management.
Create and maintain AI-ready data pipelines that enable multi-source data fusion and analytics.
Integrate and leverage technologies such as Spark, Kafka, Trino, ClickHouse, Iceberg, and OpenSearch within the data ecosystem.
Collaborate with cross-functional teams to support mission applications, enterprise AI governance, and agentic AI systems.
Ensure data pipelines are secure, scalable, and aligned with DevSecOps and cybersecurity best practices.
Support continuous monitoring, observability, and scalable software delivery for mission-focused operational workflows.
Contribute to the integration of AI, data engineering, platform engineering, and analytics within a modern Hub-and-Spoke architecture.
Ensure comprehensive data lineage and metadata management, enabling AI-ready data pipelines, and facilitating multi-source data fusion to drive actionable insights.
Support the integration of AI, DevSecOps, platform engineering, and cybersecurity within a scalable, continuously monitored environment.