Data Engineer

Booz Allen Hamilton•Fort Belvoir, VA

1d•$77,600 - $176,000

About The Position

As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines that support critical client outcomes. You will work on complex programs using data to address real-world challenges and collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile environment. You will lead technical efforts across the assessment, design, development, and sustainment of scalable data platforms, mentor teammates, and promote best practices. The role includes designing, building, and maintaining scalable data pipelines and platforms; developing secure and efficient Python for data processing, automation, and warehousing; migrating and integrating data from on-premises systems to cloud environments; implementing CI/CD pipelines; developing SQL scripts and stored procedures; applying data modeling practices; supporting data governance, metadata tagging, and access controls; and partnering with cross-functional teams to deliver end-to-end data solutions. Applicants must hold TS/SCI clearance and a high school diploma or GED. The projected annual compensation range is $77,600 to $176,000. Booz Allen describes benefits including health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. The work model and location are not specified for this position.

Requirements

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.
TS/SCI clearance.
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.