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Booz Allen Hamilton

Data Platforms Software Engineer, Senior

Posted Yesterday
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In-Office
Annapolis Junction, MD
78K-176K Annually
Senior level
In-Office
Annapolis Junction, MD
78K-176K Annually
Senior level
Build and support backend services and production data pipelines for cyber platforms. Design data ingestion, modeling, transformation, validation, storage, and recovery systems. Develop Python testing frameworks, reusable tooling, test environments, CI/CD checks, diagnostics, and documentation. Collaborate with operators and engineers to clarify requirements, make technical decisions, deliver production software, and establish scalable testing practices.
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Data Platforms Software Engineer, Senior

The Opportunity:

We build software that helps cyber operators and analysts make sense of fragmented, high-volume data. As a Senior Software Engineer, you’ll focus on backend services and production data pipelines for cyber platforms. You’ll improve systems already in use and develop new cyber capabilities.


You’ll own services and data pipelines from design through deployment and production support. Working directly with operators, analysts, and other engineers, you’ll clarify requirements and decide how data is ingested, modeled, transformed, stored, and made available to applications. For example, you might build a pipeline that brings together network, endpoint, and other operational data whose formats and schemas change over time, then design the validation, transformation, and recovery mechanisms that keep that data usable when individual sources fail or change.


What You'll Work On:


  • Define a testing strategy around important product behavior and the impact of failures, choosing where unit, integration, and end-to-end tests provide the most useful evidence.
  • Design and build a maintainable testing framework and reusable Python tooling using established testing libraries.
  • Integrate automated checks into CI/CD workflows and keep feedback fast and reliable enough for daily development.
  • Create representative test data, reproducible test environments, and diagnostics that help engineers reproduce failures and distinguish product defects from test, data, or environment problems.
  • Report what was validated, what failed, and where meaningful gaps remain so engineers have a clear view of product quality.
  • Establish testing patterns that other engineers can use and extend through code reviews, worked examples, and documentation of key technical decisions.

Join us. The world can’t wait.


You Have:


  • 4+ years of experience with professional software engineering including building, shipping, and supporting production software
  • 3+ years of experience developing backend software in Python, including services, APIs, or data-processing components
  • 2+ years of experience building and operating production data pipelines, including ETL/ELT workflows, data validation, and failure recovery
  • 2+ years of experience building, deploying, or operating software on a cloud platform such as AWS
  • 2+ years of experience owning technical delivery for a service, data pipeline, or product feature, including clarifying requirements, making design decisions, and supporting production systems
  • Experience with SQL and relational databases, including data modeling, schema design, transformations, and query optimization
  • Experience using Docker or container tools, automated testing, and CI/CD workflows to deliver production software
  • Ability to obtain a TS/SCI clearance with a polygraph
  • Bachelor’s degree in a technical field such as Computer Science, Computer Engineering, or Information Systems

Nice If You Have:


  • Experience building software for cyber operations or working with operational data such as logs, network telemetry, endpoint data, or security events
  • Experience working with workflow orchestration, event streaming, or distributed data-processing systems
  • Experience building frontend applications with modern frontend technologies such as React or TypeScript
  • Experience building data services or integrations for AI-enabled or LLM-based applications deployed to users
  • Experience supporting defense, intelligence, national security, or research and development customers

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.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

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.

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