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 know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.

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, missionaligned 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 crossfunctional technical environment, you’ll help ensure highquality, wellgoverned data flows that enable reliable model performance across operational, research, and enterprise systems.

• 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 onprem, cloud, or hybrid environments
• Ability to monitor and improve pipeline performance in coordination with operations teams
• TS/SCI clearance with a polygraph
• HS diplomaor 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 If You 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 realtime 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

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, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees 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 the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen 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). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

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.

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.

Work Model 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.

• 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.