Data Engineer

Responsibilities

• Design, implement, and maintain scalable data pipelines and platforms.
• Build secure and efficient Python code for data processing, automation, and warehousing.
• Migrate and integrate data from on premises systems to 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 in schema design.
• Support data governance, metadata tagging, and access controls.
• Collaborate with cross functional teams to deliver end to end data solutions.
• Provide technical guidance in a complex enterprise environment.

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 premise 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.
• Knowledge of AWS services such as S3, IAM, EventBridge, Step Functions, or Lambda.
• Ability to work independently and manage tasks 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
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program

Work Model

• Onsite: Work will primarily be performed at a Booz Allen office or customer facility, with collaboration as required by the role.
• Hybrid: You may be expected to work from a Booz Allen facility frequently, and may be required to visit a customer facility.
• Remote: If listed as remote, there may be occasions where in person work is required at Booz Allen or a customer facility.

Identity Verification

As part of the hiring process, you will complete an identity verification step that uses biometrics and artificial intelligence to confirm authenticity and protect against identity fraud. Interviews and assessments are conducted on camera, and Booz Allen may capture a photograph to verify identity.

Candidate AI Usage Policy

AI tools are part of Booz Allen's daily work, and the company supports responsible use of AI while maintaining a fair candidate process based on your own skills. The use of artificial intelligence or other tools to assist with interview responses is prohibited unless explicit permission is provided.