Booz Allen Hamilton offers a comprehensive benefits package and opportunities to work on mission-driven projects. Onsite in Alexandria, VA, you’ll be part of a collaborative team that turns data into meaningful outcomes. The company supports health, life, disability, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, and dependent care to help you thrive both professionally and personally.
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
The opportunity
In a landscape shaped by IoT, machine learning, and artificial intelligence, data both structured and unstructured is growing. A data engineer helps translate this data into actionable insights across diverse sources, supporting critical missions such as fraud detection, cancer research, and national intelligence. You will contribute to building advanced technology solutions and executing data engineering activities on mission-driven projects, deploying pipelines and platforms that render disparate data meaningful. You will guide a cross-functional team of analysts, engineers, developers, and data consumers in a fast-paced, agile setting, applying your expertise in exploratory data analysis to design, build, and maintain scalable client platforms.
Responsibilities
- Deploy and develop pipelines and platforms that organize and give meaning to disparate data.
- Contribute to advanced technology solutions and execute data engineering activities on mission-driven projects.
- Lead a multi-disciplinary team of analysts, data engineers, developers, and data consumers in an agile environment.
- Apply analytical exploration and data examination techniques while managing assessment, design, build, and maintenance of scalable client platforms.
- Collaborate with clients to uncover data-driven answers that support important missions.
Requirements
- 3+ years deploying, configuring, and maintaining enterprise software and data systems in secure, air-gapped, or disconnected environments
- 3+ years building and maintaining ETL/ELT pipelines for structured and unstructured data
- 2+ years using Python and SQL for data manipulation, automation, and pipeline development
- Experience with distributed data and computing tools such as Spark or Databricks
- Experience developing RESTful APIs in Python to support data ingestion and integration workflows
- Experience with relational and non-relational databases, such as PostgreSQL, MongoDB, or Elasticsearch
- Knowledge of the Software Development Life Cycle (SDLC), secure deployment practices, and data security controls
- Ability to work on site and operate independently in a SCIF environment with limited connectivity
- TS/SCI clearance
- Bachelor’s degree
Technologies
- Python
- SQL
- Spark
- Databricks
- PostgreSQL
- MongoDB
- Elasticsearch
- RESTful APIs
Nice if you have
- 3+ years building enterprise data engineering solutions in the cloud, including AWS and Azure
- Experience supporting classified data systems for the Department of Defense or Intelligence Community
- Experience with cross-domain solutions and data transfer guard technologies
- Experience supporting data lake and data warehouse architectures
- Experience with data modeling, metadata management, and data quality frameworks
- Experience with IAM, encryption, and security controls in cloud or on-prem environments
- Experience with Palantir Foundry or similar enterprise data platforms
- Knowledge of containerization or container orchestration technologies
- Strong verbal, written communication, analytical, and problem-solving skills
Work model
- Remote: May require occasional in-person work at a Booz Allen or customer facility
- Hybrid: Frequent work from a Booz Allen facility; may involve customer facility visits
- Onsite: Primary work at a Booz Allen office or customer facility, with collaboration as required
Compensation
Salary range: USD 62,000 to 141,000 per year. The compensation package includes health, life, disability, financial, and retirement benefits, along with paid leave, professional development opportunities, tuition assistance, work-life programs, and dependent care.
Clearance
Applicants may be required to undergo a security investigation and meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Identity verification
As part of the hiring process, Booz Allen uses identity verification based on biometrics and artificial intelligence to ensure authenticity and prevent fraud. Candidates are expected to be on camera during interviews and assessments, and a photo may be taken to verify identity.
Candidate AI usage policy
The use of artificial intelligence tools to assist with interview responses is prohibited unless explicitly permitted.
Commitment to non-discrimination
All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by law.
