Scientific Data Engineering Specialist

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $77,600–$176,000 / yr
Employment: Full-time
Posted: 8 days ago
Freshness: Confirmed live today
Closes: Jan 17, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k

This role $127k

$62k $227k

below market most similar roles pay here above market

This role pays less than 73% of similar roles. Most pay $126,800–$211,200 — the blue band above. At the midpoint, this role pays about $127k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Scientific Data Engineering Specialist

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The Scientific Data Engineering Specialist provides technical leadership to design and implement scalable data ingestion, storage, cataloging, and processing capabilities. Working with internal data teams, the specialist builds high-volume, secure data pipelines and optimizes microservices to support transformation workflows. Key responsibilities include evolving legacy data flows into event-driven systems, strengthening platform observability, and refining API and notification services. The role requires expertise in Java, Spring Boot, Spring Cloud Gateway, Spring Security, WebFlux, JPA, and Hibernate. Candidates must possess experience with PostgreSQL, PostGIS, and geospatial data processing, alongside scientific formats like GOES-R and NEXRAD. The work involves engineering cloud-native systems for high-volume environmental, observational, weather, and geospatial data, specifically addressing the technical challenges of synchronized distribution and real-time imagery access.

Skills

Java Spring Boot PostgreSQL PostGIS Apache Pulsar Kafka Debezium AWS Kubernetes Docker Terraform Redis MongoDB Hibernate Spring Cloud Gateway Spring Security WebFlux JPA Jenkins GitLab CI/CD Helm OpenShift LocalStack SonarQube JUnit Mockito Testcontainers ArcGIS GRIB2 CI/CD Microservices

What you'll do

Design and implement scalable data ingestion, storage, cataloging, and processing capabilities.
Develop and optimize Java-based microservices for data transformation and advanced processing workflows.
Evolve legacy data flows into modern event-driven systems using messaging and change-data-capture technologies.
Build and refine API and notification services to streamline data exchange and integration.
Enhance metadata and catalog systems to improve data discoverability for downstream users.
Strengthen platform observability by implementing robust metrics, logging, and performance validation.
Support quality practices including test-driven development, integration testing, and automated security tooling.
Define system architecture and technical strategies for high-volume scientific and geospatial data.

What we're looking for

U.S. citizenship is required.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
Experience with geospatial data processing using PostgreSQL, PostGIS, spatial queries, and coordinate reference systems.
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 Spring Boot, Spring Cloud Gateway, Spring Security, WebFlux, JPA, and Hibernate.
Experience building end-to-end scientific data workflows including ingestion, decoding, transformation, and synchronized distribution across microservices.
Experience developing event-driven data pipelines using messaging and change-data-capture technologies such as Apache Pulsar, Kafka, and Debezium.
Bachelor's degree.

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