Data Engineer

Booz Allen Hamilton is seeking a Data Engineer to join the Fort Meade based team on onsite work. The role centers on building and governing scalable data pipelines and platforms that enable AI and ML workloads, with collaboration across AI Model Engineers, Network/Cloud Architects, and other technical leaders on mission-driven initiatives. This position emphasizes turning diverse data into trusted, well-governed streams that support decision making and advanced analytics.

Responsibilities

• Lead data engineering activities on mission-driven projects within the industry.
• Oversee the development and deployment of pipelines and platforms that organize disparate data and make it meaningful.
• Collaborate with AI Model Engineers, Network and Cloud Architects, the ISSE, and other technical leaders to guide 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 support 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.
• HS diploma or GED with 6+ years of experience with data normalization and data pipelines, or Bachelor’s degree with 4+ years of experience in data normalization and data pipelines.

Technologies

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

Benefits

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

Clearance

TS/SCI clearance with polygraph is required.

Identity Statement

As part of the hiring process, you will complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. Booz Allen reserves the right to take your picture to verify identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of Booz Allen's daily work, and the company supports responsible and ethical use of AI tools. The candidate process remains based on your skills and knowledge, and the use of artificial intelligence or other tools to assist with responses during interviews is prohibited unless explicit permission is provided.

Work Model

• Remote: There may be occasions when in-person work at a Booz Allen or customer facility is required.
• Hybrid: Regular in-person work at a Booz Allen facility is expected, with potential visits to customer facilities as needed.
• Onsite: Work primarily at a Booz Allen office or customer facility, collaborating directly with colleagues and customers as required.

Compensation

The projected compensation range for this position is USD 77,600.00 to USD 176,000.00 per year (annualized).

Commitment to Non-Discrimination

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