Data Engineer

Booz Allen Hamilton•Chantilly, VA

10d•Remote

About The Position

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence. As a data engineer at Booz Allen, you’ll use your skills to deliver an advanced visual application to include developing data analytics for desktop and web-developed visual analytic software. You'll facilitate the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing, as well as using the specified open source, COTS, and GOTS technologies. You will establish an application that produces manageable, actionable intelligence from streams of a structured and semi-structured data technology solutions for some of the most mission-driven projects in the industry. Work with us to use data for good. Join us. The world can’t wait.

Requirements

5+ years of experience designing, developing, and operationalizing enterprise‑scale data applications and pipelines
5+ years of experience building scalable ETL/ELT workflows using Python, SQL, NiFi, COTS, and GOTS applications
5+ years of experience automating batch and streaming workflows, including retrieving, parsing, and processing structured and unstructured data
Experience with schema-aligned ingestion, data normalization, provenance, and end‑to‑end lineage tracking
Experience with data-layer security models, ABAC, RBAC, governance practices, and record lineage
Experience with multiple database types, including SQL, NoSQL, graph, or vector databases
Experience with search technologies such as Elasticsearch or OpenSearch
Experience with containerized environments such as Docker or Kubernetes for hybrid, on-prem, or multi-enclave operations
Top Secret clearance
Bachelor’s degree and 8+ years of experience with data engineering concepts, including data collection, storage, processing, cleaning, or transforming or 12+ years of experience with data engineering concepts, including data collection, storage, processing, cleaning, or transforming in lieu of degree

Nice To Haves

Experience with data engineering projects supporting event‑driven systems, software development, or AI/ML implementations
Experience working with distributed event-messaging frameworks such as Kafka, Redis, or RabbitMQ
Experience with API development
Experience with Agile development methodologies
AWS Cloud Certifications

Responsibilities

Developing data analytics for desktop and web-developed visual analytic software.
Facilitating the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing.
Using specified open source, COTS, and GOTS technologies.
Establishing an application that produces manageable, actionable intelligence from streams of a structured and semi-structured data technology solutions.