Data Engineer

Data Engineer – Booz Allen Hamilton

We need an experienced data professional to help our clients extract insights from diverse structured and unstructured data for missions ranging from fraud detection to cancer research and national intelligence.

• Lead data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
• Collaborate closely with AI Model Engineers, Network and Cloud Architects, ISSE, and other technical leaders to guide the development of scalable, mission‑aligned data pipelines.
• Apply expertise in exploratory analysis and feature development to shape how datasets are assessed, designed, transformed, and maintained for AI/ML workloads.
• Ensure high‑quality, well‑governed data flows that enable reliable model performance across operational, research, and enterprise systems.
• Monitor and improve pipeline performance in coordination with operations teams.

• 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.
• TS/SCI clearance with 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.

• Health, life, disability, financial, and retirement benefits.
• Paid leave and professional development support.
• Tuition assistance, work‑life programs, and dependent care options.
• Recognition awards program for exceptional performance.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

This posting will close within 90 days from the posting date. 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.