Booz Allen Hamilton is hiring a Senior Data Engineer in Arlington, VA (onsite) to support a Service-level Headquarters organization. In this role, you will design and optimize data infrastructure using the Palantir Foundry ecosystem to deliver production-ready data pipelines and models that support advanced analytics and a common operating picture (COP).
Bring your expertise to architect ETL/ELT workflows for highly unstructured sources, engineer the Foundry Ontology for secure and logically structured data, and build transformation logic for large-scale distributed processing. Salary range: USD 77,600 - 176,000 per year.
What You’ll Do
- Architect, build, and maintain scalable ETL/ELT pipelines using Palantir Foundry, including Pipeline Builder and Code Repositories, to ingest and process highly unstructured data sources.
- Design, implement, and optimize the Foundry Ontology to support secure, logically structured data models for advanced analytics and Activity Based Intelligence (ABI).
- Develop high-performance transformation logic using PySpark, Python, and SQL for distributed, large-scale data processing.
- Partner with data scientists and analysts to operationalize statistical models and custom algorithms in secure production environments.
- Diagnose and resolve system bottlenecks to maintain high performance across both cloud and classified compute environments.
- Create data quality and validation frameworks, including automated pipeline monitoring, to protect the integrity of inputs feeding analytics models.
Required Qualifications
- 5+ years of experience with data engineering or big data.
- 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 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 You’ll Use
- Palantir Foundry, Pipeline Builder, Code Repositories, Foundry Ontology
- PySpark, Python, SQL
- AWS, Azure
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
Nice If You Have
- Experience with AWS, Azure, or similar cloud computing architectures supporting 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 and Security Information
Applicants selected 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 be asked to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. Booz Allen also reserves the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
The use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether 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 will collaborate directly with colleagues and customers as required by the role.
Employees working virtually are generally expected to have their cameras on during meetings.
