Data Engineer

About the role

As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines that power mission-critical outcomes. You will work on complex, high-impact programs that help clients solve real-world challenges with data. You’ll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile environment.

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.

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-prem 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.

Qualifications

• TS/SCI clearance.
• High school diploma or GED.

Skills

• Experience with Pipeline Builder, AIP, and Foundry's application development ecosystem.
• Experience with ETL tools, such as dbt and Airflow.
• Experience with NoSQL and graph databases, and DevOps tools and automation practices.
• Experience designing and building data warehouses.
• Experience working in multiple SDLC models, including Agile, Waterfall, Iterative, or Spiral.
• Experience with open table formats, such as Apache Iceberg.
• Experience with infrastructure-as-code, including Terraform or CloudFormation.
• Knowledge of data lakes and lakehouse architectures and database performance concepts, such as partitioning.
• Knowledge of Zero Trust and attribute-based access control (ABAC).

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program.

Pay

The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).

Schedule

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.