Data Engineer

Booz Allen Hamilton is seeking a Data Engineer to design and govern scalable data pipelines and platforms that support AI and ML workloads on mission-driven projects. You will collaborate with AI Model Engineers, Network and Cloud Architects, and ISSEs alongside other technical leaders to ensure data assets drive reliable outcomes. This on-site role at Fort Meade emphasizes governance, cross-functional coordination, and the optimization of data flows across on-prem, cloud, and hybrid environments.

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
• 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

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.

Compensation

The projected compensation range for this position is USD 77,600 to 176,000 per year.

Location

Fort Meade, MD (onsite)

Work Model

• Onsite: Work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
• Hybrid: You will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

Identity verification

As part of the hiring process, we will ask you to 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. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.