Data Engineer

Job Number: R0241771

The opportunity for a senior data engineer who can turn data into insight for mission‑critical projects such as fraud detection, cancer research, and national intelligence.

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 an experienced 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 expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission‑driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.

In this role, you’ll collaborate closely with AI Model Engineers, Network and Cloud Architects, the ISSE, and other technical leaders to guide the development of scalable, mission‑aligned data pipelines. You’ll apply your expertise in data engineering, exploratory analysis, and feature development to shape how datasets are assessed, designed, transformed, and maintained for AI/ML workloads. While supporting a cross‑functional technical environment, you’ll help ensure high‑quality, well‑governed data flows that enable reliable model performance across operational, research, and enterprise systems.

Work with us to use data for good.

• 6+ years of experience as a data engineer
• Experience designing, implementing, and maintaining scalable data pipelines for structured and unstructured data
• Experience preparing validated, normalized, and secure datasets for AI/ML model development
• Experience implementing data governance practices, including access control, lineage tracking, and dataset documentation
• Experience developing dashboards and metrics for data and pipeline monitoring
• Experience building automated ETL workflows and CI/CD pipelines for data processes
• Experience optimizing data workflows across on‑prem, cloud, or hybrid environments
• Ability to monitor and improve pipeline performance in coordination with operations teams
• TS/SCI clearance with a polygraph
• HS diploma or GED

• 10+ years of experience as a data engineer
• Experience with distributed data and compute tools, such as Spark, Databricks, Hadoop, Hive, or Kafka
• Experience with cloud environments, such as AWS or Azure
• Experience developing real‑time or streaming data applications
• Experience evaluating emerging technologies for data processing or AI/ML workflows
• Experience working in environments with security, compliance, or ISSE oversight
• Experience developing or supporting visualization tools and frameworks
• Experience supporting AI/ML model development pipelines
• Bachelor’s degree

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. The projected compensation range for this position is $77,600.00 to $ (annualized USD). The posting will close within 90 days from the posting date.