Data Engineer

Booz Allen Hamilton • Usa, VA

7d

About The Position

As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines that support critical outcomes and help clients address real-world challenges. You will collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile environment. You will lead technical efforts across assessment, design, development, and sustainment of scalable data platforms, mentor teammates, and promote best practices. The role includes building data pipelines and platforms, processing and integrating data, supporting governance and access controls, and delivering end-to-end data solutions in complex enterprise environments.

Requirements

• At least 2 years of experience as a data engineer supporting large-scale enterprise systems.
• Experience writing clean, secure, and efficient Python for data engineering use cases.
• Experience moving data from on-premises environments to the cloud and automating development workflows, including building, deploying, or managing applications.
• Experience with CI/CD practices.
• Experience with SQL, including stored procedures and data modeling.
• Experience with data governance and data tagging.
• Ability to work independently and manage tasks with minimal supervision.
• Active TS/SCI clearance is required.
• High school diploma or GED.

Responsibilities

• Design, build, and maintain scalable data pipelines and platforms.
• Develop secure, efficient Python for data processing, automation, and warehousing.
• Migrate and integrate data from on-premises systems to cloud environments.
• Implement CI/CD pipelines to automate build, test, and deployment workflows.
• Develop SQL scripts and stored procedures for data processing and transformation.
• Apply data modeling best practices.
• Support data governance, metadata tagging, and access controls.
• Partner with cross-functional teams to deliver end-to-end data solutions.
• Provide technical guidance in a complex enterprise environment.
• Lead technical efforts across assessment, design, development, and sustainment of scalable data platforms.
• Mentor teammates and drive best practices.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstrating company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: High school or GED