Data Engineer

The Data Engineer role at Booz Allen Hamilton focuses on building and governing scalable data pipelines and platforms to support AI and ML workloads. You will collaborate with AI Model Engineers, Network and Cloud Architects, the ISSE, and other technical leaders on mission-driven projects.

Responsibilities

• Lead data engineering activities on some of the most mission-driven projects in the industry
• Oversee 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, the ISSE, and other technical leaders to guide the development of scalable, mission-aligned data pipelines
• 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 that enable reliable model performance across operational, research, and enterprise systems
• Monitor and improve pipeline performance in coordination with operations teams
• Develop dashboards and metrics for data and pipeline monitoring
• Build automated ETL workflows and CI/CD pipelines for data processes
• Optimize data workflows across on-prem, cloud, or hybrid environments

Requirements

• 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
• Educational pathways: HS diploma or GED with 6+ years of data normalization and data pipelines, or a Bachelor’s degree with 4+ years of data normalization and data pipelines

Technologies

• Spark
• Databricks
• Hadoop
• Hive
• Kafka
• AWS
• Azure

Location

Fort Meade, MD (onsite)

Work Model

• Remote: If listed as remote, some in-person work at Booz Allen or customer facilities may be required
• Hybrid: Frequent in-office work at Booz Allen facilities, with potential visits to customer facilities as needed
• Onsite: Primary work at a Booz Allen office or customer facility, with direct collaboration

Compensation

The projected compensation range for this position is USD 77,600 to 176,000 per year. This posting will close within 90 days from the posting date.

Clearance

TS/SCI clearance with polygraph is required.

Benefits

• Health benefits
• Life insurance
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care

Identity Verification

• Identity verification using advanced biometrics and artificial intelligence is part of the hiring process to ensure authenticity and prevent fraud
• Interviews and assessments may require you to be on camera
• Booz Allen may capture your image to verify identity and deter fraud

Candidate AI Usage Policy

AI tools are part of Booz Allen’s daily operations, but the candidate process relies on your own skills and knowledge. Use of AI or other tools to assist with interview responses is prohibited unless explicit permission is provided.

Non-Discrimination Commitment

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.