Data Engineer
About The Position
As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines that power critical outcomes on complex, high-impact programs. You will lead technical efforts across assessment, design, development, and sustainment of scalable data platforms, while mentoring teammates and promoting best practices. You will collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile environment to help clients turn structured and unstructured data into actionable insight. The role involves building secure and scalable data solutions, supporting migrations from on-premises systems to cloud environments, and helping deliver end-to-end data platforms in a complex enterprise setting. This position is located at Fort Belvoir, Virginia, and is not listed as remote.
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.
- 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.
Benefits
- Health, life, and disability benefits.
- Financial and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards program.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
High school or GED
