Data Engineer

About the Role Booz Allen is seeking a Data Engineer to help build advanced data pipelines and platforms that support mission-driven projects. You will organize and normalize data from disparate sources to enable AI/ML workflows and ensure high-quality, well-governed data across operational, research, and enterprise systems. You will collaborate with AI Model Engineers, Network and Cloud Architects, the ISSE, and other technical leaders to deliver scalable data solutions.

What You'll Do

• Lead development and deployment of data pipelines and platforms to organize data from disparate sources.
• Oversee data engineering activities and guide scalable data pipelines for mission-aligned workloads.
• Collaborate with AI Model Engineers, Network and Cloud Architects, the ISSE, and other technical leads to guide data pipeline development.
• Apply expertise in data engineering, 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 enabling reliable model performance across operational, research, and enterprise systems.

What We're Looking For

• 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 and 6+ years of experience with data normalization and data pipelines, or Bachelor's degree and 4+ years of experience with data normalization and data pipelines.

Nice To Have

• 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.

Compensation & Benefits

• The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).
• Booz Allen offers comprehensive benefits including health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, and dependent care.