Data Engineer, Senior

Booz Allen Hamilton seeks a Senior Data Engineer to design and operate data infrastructure for a Service-level Headquarters organization using the Palantir Foundry ecosystem in Arlington, VA.

Responsibilities

• Architect, build, and maintain scalable ETL/ELT pipelines with Palantir Foundry, including Pipeline Builder and Code Repositories, for highly unstructured data ingestion and processing.
• Design, implement, and optimize the Foundry Ontology to deliver secure, logically structured data models that support advanced analytics and Activity Based Intelligence (ABI).
• Develop high-performance transformation logic using PySpark, Python, and SQL for distributed, large-scale processing.
• Work with data scientists and analysts to operationalize statistical models and custom algorithms in secure production environments.
• Identify and resolve performance issues and bottlenecks to maintain high throughput across cloud and classified compute environments.
• Build data quality and validation frameworks, including automated pipeline monitoring, to protect the integrity of analytics inputs.

Requirements

• 5+ years of experience in data engineering or big data.
• Hands-on experience with PySpark, Python, and SQL.
• Experience building complex data pipelines and transformations within distributed platforms such as Palantir Foundry.
• Experience structuring, formatting, and optimizing large-scale datasets for use by engineering teams and mathematical or statistical models.
• Knowledge of distributed systems, data warehousing concepts, and data governance in secure enclaves.
• TS/SCI clearance.
• Bachelor’s degree in Computer Science or Engineering.

Technologies

• Palantir Foundry
• Pipeline Builder
• Code Repositories
• Foundry Ontology
• PySpark, Python, SQL
• AWS, Azure

Nice If You Have

• Experience with AWS, Azure, or similar cloud computing architectures that support large data platforms.
• Experience processing and scaling geospatial datasets for intelligence or operational mapping.
• Experience with CI/CD pipelines and version control best practices.
• Experience with DoW Global Force Management policies and processes.
• Knowledge of mathematical modeling and statistical analysis frameworks.
• Knowledge of DoW institutional datasets such as War Data Platform.

Clearance

• Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Identity Verification

• During the hiring process, you will complete an identity verification process that uses advanced biometrics and AI to ensure authenticity and protect against identity fraud.
• You are expected to be on camera during interviews and assessments.
• Booz Allen may take your picture to verify identity and prevent fraud.

Candidate AI Usage Policy

• Using AI or other tools to assist with responses during interviews (in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

• Onsite: Work will primarily be performed full-time at a customer facility, where employees collaborate directly with colleagues and customers as required by the role.

Compensation

• USD 77,600 - 176,000 per year

Benefits

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