Data Engineer

Responsibilities

• Architect, build, and maintain scalable data pipelines and platforms.
• Write secure, efficient Python for data processing, automation, and warehousing tasks.
• Migrate and integrate data from on prem systems into cloud environments.
• Establish CI/CD pipelines to automate build, test, and deployment workflows.
• Create SQL scripts and stored procedures for data processing and transformation.
• Apply data modeling best practices to support scalable schemas.
• Support data governance, metadata tagging, and access control mechanisms.
• Collaborate with cross functional teams to deliver end-to-end data solutions.
• Provide technical guidance within a complex enterprise environment.

Requirements

• 2+ years of experience as a data engineer supporting large-scale enterprise systems.
• Proven ability to write clean, secure, and efficient Python for data engineering use cases.
• Experience moving data from on prem environments to the cloud and automating development workflows, including building, deploying, or managing applications.
• Hands-on experience with CI/CD practices.
• Strong SQL skills, including stored procedures and data modeling.
• Experience supporting data governance and data tagging initiatives.
• Knowledge of AWS services such as S3, IAM, EventBridge, Step Functions, or Lambda.
• Ability to work independently with minimal supervision.
• TS/SCI clearance.
• HS diploma or GED.

Technologies

• Python
• SQL
• AWS (S3, IAM, EventBridge, Step Functions, Lambda)
• dbt
• Airflow
• Pipeline Builder
• AIP
• Foundry
• Apache Iceberg
• Terraform
• CloudFormation
• NoSQL databases
• Graph databases

Benefits

• Health benefits
• Life insurance
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development opportunities
• Tuition assistance
• Work-life programs
• Dependent care assistance
• Recognition awards program

Work Model

• Remote: May require occasional in-person work at Booz Allen or a customer facility.
• Hybrid: Frequent on-site collaboration at a Booz Allen facility, with potential customer site visits.
• Onsite: Primarily based at a Booz Allen office or customer facility, with collaborative in-person work.

Identity Statement

As part of the hiring process, you will undergo an identity verification process that uses advanced biometrics and artificial intelligence to confirm authenticity and deter fraud. Interviews and assessments require you to be on camera, and Booz Allen may take your photo to verify identity and prevent fraud.

Candidate AI Usage Policy

AI tools are part of Booz Allen's daily operations, but the candidate process remains grounded in your own skills and knowledge. Use of artificial intelligence or other tools to assist with interview responses is prohibited unless explicit permission is provided.