Data Engineering Software Engineer, Senior

The Opportunity:

As a senior software engineer with deep backend instincts, you think in terms of contracts, data flow, and the guarantees a service makes to the systems that depend on it. You've built APIs that other engineers build against with confidence, designed data pipelines that handle messy real-world inputs without silent failures, and made architectural choices that held up as the product scaled beyond its first use case. We are building a platform where computational models, optimization engines, and operator interfaces all depend on a shared service layer that must be reliable, well-contracted, and fast, and we need someone like you to build it.

On this team, you'll own the backend services and data infrastructure for two integrated products. One requires a governed repository of computational assets, models with metadata, validation status, version history, and execution records, exposed through a contract-driven API that other services consume. The other requires a signal processing pipeline that ingests streaming operational data, maintains state, and feeds a reasoning engine that produces time-sensitive outputs. In both cases, the services you build are the foundation the products depend on.

You'll join a small and elite team where everyone operates at the technical frontier. You'll be the person on the team who makes everything connectable, ensuring that data flows cleanly from ingestion to reasoning to presentation without friction or failure. You'll build in a rapid development environment with AI-native tooling, delivering reliable and scalable services.

Join us. The world can't wait.

You Have:

• 5+ years of experience designing and building backend services and APIs in Python

• Experience in FastAPI, Flask, or asynchronous web frameworks

• Experience designing contract-driven APIs where multiple consuming services depend on stable and versioned interfaces

• Experience building data ingestion and processing pipelines that handle streaming or near-real-time data, including validation, transformation, and state management

• Experience with relational databases, event streaming platforms, and caching layers for systems that manage both transactional and time-series data

• Ability to obtain a Secret clearance

• Bachelor's degree in computer science or software engineering

Nice If You Have:

• Experience building repository or catalog systems that manage versioned assets with metadata, provenance, and access control

• Experience implementing authentication, audit logging, and schema validation at service boundaries for systems that handle sensitive data

• Experience building products for defense, intelligence, or national security customers

• TS/SCI clearance with a polygraph

• Master's degree in computer science or software engineering

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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.