Data Engineer

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you’ll help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.

About the role

As a data engineer at Booz Allen, you’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.

In this role, you’ll 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. You’ll apply your expertise in data engineering, exploratory analysis, and feature development to shape how datasets are assessed, designed, transformed, and maintained for AI/ML workloads. While supporting a cross-functional technical environment, you’ll help ensure high-quality, well-governed data flows that enable reliable model performance across operational, research, and enterprise systems.

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

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

Clearance

Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. TS/SCI clearance with polygraph is required.

Benefits

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include:

• Health, life, disability, financial, and retirement benefits
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care
• Recognition awards program for exceptional performance and superior demonstration of our values

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet this threshold are only eligible for select offerings, not inclusive of health benefits.

Pay

Salary is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).

Schedule

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

Work model expectations:

• 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.
• Hybrid: If this position is listed as 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.
• Onsite: If this position is listed as 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.

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.