Data Engineer Jobs in Alexandria, VA

Design, build, and maintain systems and architecture to collect, store, and analyze large volumes of data in support of DoD/IC programs. Work with stakeholders to enable data ingestion, storage, and analytics pipelines.

As a Data Engineer at Booz Allen, you'll design and develop data pipelines, support data systems, and ensure data security while working in a team-focused environment.

Support the creation of business intelligence tools for the War Research Enterprise by developing scalable data pipelines and governance policies while collaborating with cross-functional teams.

Design, build, and maintain scalable data pipelines and platforms. Implement ETL/ELT workflows, parse and process structured/unstructured data, and support data platform scaling, monitoring, and operations while working on cross-functional agile teams.

The AWS Engineer will develop and support cloud-based solutions, migrate on-premise assets to AWS, optimize workloads, and guide the engineering team.

The Data Engineer will develop and implement software solutions for law enforcement, focusing on data management, system optimization, and effective communication with clients.

Design, build, and maintain scalable data pipelines and architectures to aggregate, clean, transform, and visualize large operational and intelligence datasets. Leverage Palantir, MSS, Python, Power BI, and AI/ML tools to produce dashboards, analytical products, predictive models, and briefings that support C-UAS operations, capability assessments, and acquisition decisions while ensuring data integrity, security, and governance.

The Big Data Engineer will build and code applications using Hadoop components and various programming languages, enhancing data management and analytics capabilities.

The Data Systems Engineer will support data integration, pipeline development, metadata tagging, and data governance in a fast-paced environment, collaborating with technical and business teams to ensure data quality and system interoperability.

The Software Engineer will be responsible for data collection and infrastructure operations to support AI model training, collaborating with scientists on dataset roadmaps, and ensuring efficient data ingestion pipelines.