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Scientific Data Engineering Specialist
The Opportunity:
Provide technical leadership in designing and implementing scalable data ingestion, storage, cataloging, API, and processing capabilities as a Scientific Data Engineering Specialist. Ensure that high-volume, secure, and reliable data pipelines operate effectively across various internal data teams. Contribute to modern cloud-based architectures and guide the development and optimization of microservices that support ingestion, transformation, and advanced processing workflows. Partner closely with engineering peers to evolve legacy data flows into event-driven systems and strengthen platform observability, metrics, and logging. Build and refine API and notification services to streamline data exchange and integration. Enhance metadata and catalog systems to improve data discoverability and synchronization with downstream users. Support strong quality practices, including test-driven development, integration testing, and performance validation. Participate actively in sprint activities, architectural discussions, and cross-team collaboration to help drive clarity, alignment, and technical direction. Work with us to use data for good. Due to the nature of work performed within this facility, U.S. citizenship is required.
You Have:

• Experience with geospatial data processing using tools such as PostGIS, advanced coordinate reference systems, spatial envelopes, and scientific imagery formats such as GOES-R, NEXRAD, and polar-orbiter products
• Experience engineering cloud-native scientific data systems supporting high-volume environmental, observational, or geospatial data
• Experience designing and implementing high-throughput microservices and event-driven pipelines that process real-time scientific datasets, including satellite imagery, radar data, and model output
• Experience developing tooling for scientific visualization, including real-time imagery rendering, spatial mapping, and interactive meteorological products
• Experience architecting concurrent, performance-critical systems capable of handling large numerical and geospatial workloads using Java, Spring Boot, and cloud technologies
• Experience defining system architecture, writing technical strategies, and presenting scientific or technical program direction to senior stakeholders
• Ability to build end-to-end scientific data workflows, including ingestion, decoding, transformation, georeferencing, cataloging, and synchronized distribution across microservices
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• HS diploma or GED

Nice If You Have:

• Experience with scientific programming languages or frameworks such as Python, geospatial libraries, scientific image decoders, or spatial analytics tools
• Experience with distributed scientific data systems such as Kafka, Pulsar, or other messaging tools used in real-time environmental data dissemination
• Experience with cloud infrastructure for scientific workloads, including AWS EKS, S3, SQS/SNS, IAM, and container-based orchestration for large data pipelines
• Experience with satellite, radar, or atmospheric science domains, including handling raw instrument data, encrypted telemetry, or environmental sensor outputs
• Experience with NoSQL or scientific storage patterns, including MongoDB, Redis, or other high-performance caching systems suitable for scientific applications
• Experience with scientific visualization frameworks, WebGL-based rendering, map services, or ArcGIS integrations supporting operational users
• Experience supporting mission-critical systems with strict performance, reliability, and concurrency requirements common in scientific and environmental operations
• Experience collaborating with scientific end-users such as forecasters, analysts, or research teams, to translate mission needs into technical designs

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
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, 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.