The Opportunity: 

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research, to national intelligence.  

As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. 

Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good.

Join us. The world can't wait.

You Have:

• 3+ years of experience deploying, configuring, and maintaining enterprise software and data systems in secure, air-gapped, or disconnected environments
• 3+ years of experience building and maintaining ETL or ELT pipelines for structured and unstructured data
• 2+ years of experience in Python and SQL for data manipulation, automation, and pipeline development
• Experience with distributed data systems
• Experience developing RESTful APIs in Python to support data ingestion and integration workflows
• 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 Sensitive Compartmented Information Facility (SCIF) environment with limited connectivity
• TS/SCI clearance
• Bachelor’s degree

Nice If You Have:

• 3+ years of experience building enterprise data engineering solutions in the cloud, including cloud-native technologies from AWS and Azure 
• Experience with relational and non-relational databases such as PostgreSQL, MongoDB, or Elasticsearch, to support deployment and configuration
• 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
• Possession of excellent verbal and written communication, analytical, and problem-solving skills

Clearance:

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.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you 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. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, 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
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.