About the role 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. Join us. The world can’t wait. Requirements Experience with geospatial data processing using PostgreSQL, PostGIS, spatial queries, coordinate reference systems, spatial envelopes, and georeferenced data Experience processing scientific data formats such as GOES-R, NEXRAD, GRIB2, SYNOPTIC, or polar-orbiter Experience designing and implementing Java- and Spring-based microservices using technologies such as Spring Boot, Spring Cloud Gateway, Spring Security, WebFlux, JPA, and Hibernate Experience building end-to-end scientific data workflows, including ingestion, decoding, transformation, georeferencing, storage, cataloging, and synchronized distribution across microservices Experience developing scientific visualization capabilities, including real-time imagery access, interactive mapping, ArcGIS integrations, plotting, or meteorological visualizations Experience engineering cloud-native scientific data systems supporting high-volume environmental, observational, weather, or geospatial data Experience developing event-driven data pipelines using messaging and change-data-capture technologies such as Apache Pulsar, Kafka, and Debezium Experience defining system architecture, developing technical strategies, and presenting technical direction to senior government or program stakeholders Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor's degree Nice If You Have Experience modernizing legacy scientific or government systems into decoupled, cloud-native architectures Experience with AWS services such as EKS, S3, SQS, SNS, IAM, EC2, and ElastiCache Experience with Kubernetes, Docker, Helm, Jenkins, GitLab CI/CD, OpenShift, Rancher, or Terraform Experience with scientific or operational data stores and caching technologies such as MongoDB, Redis, PostgreSQL, and PostGIS Experience with Java virtual threads, structured concurrency, reactive systems, or other techniques for processing large numbers of concurrent files or requests Experience with automated quality and security tooling such as JUnit, Mockito, Testcontainers, LocalStack, SonarQube, or container security scanning Experience supporting meteorological, satellite, radar, atmospheric-science, or other environmental-data missions Experience collaborating with government stakeholders, scientific users, engineering teams, DevOps teams, or quality-assurance organizations Experience mentoring developers, supporting onboarding, or establishing shared engineering standards and reusable libraries Vetting Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Benefits 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.
