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 a data professional 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 use your skills to deliver an advanced visual application to include developing data analytics for desktop and web-developed visual analytic software. You'll facilitate the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing, as well as using the specified open source, COTS, and GOTS technologies. You will establish an application that produces manageable, actionable intelligence from streams of a structured and semi-structured data technology solutions for some of the most mission-driven projects in the industry. 

Work with us to use data for good. 

Join us. The world can’t wait. 

You Have:   

• 5+ years of experience designing, developing, and operationalizing enterprise‑scale data applications and pipelines 

• 5+ years of experience building scalable ETL/ELT workflows using Python, SQL, NiFi, COTS, and GOTS applications 

• 5+ years of experience automating batch and streaming workflows, including retrieving, parsing, and processing structured and unstructured data 

• Experience with schema-aligned ingestion, data normalization, provenance, and end‑to‑end lineage tracking 

• Experience with data-layer security models, ABAC, RBAC, governance practices, and record lineage 

• Experience with multiple database types, including SQL, NoSQL, graph, or vector databases 

• Experience with search technologies such as Elasticsearch or OpenSearch 

• Experience with containerized environments such as Docker or Kubernetes for hybrid, on-prem, or multi-enclave operations 
• Top Secret clearance
• Bachelor’s degree and 8+ years of experience with data engineering concepts, including data collection, storage, processing, cleaning, or transforming or 12+ years of experience with data engineering concepts, including data collection, storage, processing, cleaning, or transforming in lieu of degree 

Nice If You Have:   

• Experience with data engineering projects supporting event‑driven systems, software development, or AI/ML implementations 

• Experience working with distributed event‑messaging frameworks such as Kafka, Redis, or RabbitMQ 

• Experience with API development 

• Experience with Agile development methodologies 

• AWS Cloud Certifications 

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret 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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as 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.

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.