Remote Scientific Data Engineer: Cloud Pipelines & APIs

Booz Allen Hamilton; North Dakota; On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a Scientific Data Engineering Specialist to lead scalable data ingestion, storage, cataloging, API, and processing capabilities. You will ensure high‑volume, secure data pipelines, guide microservice development, and evolve legacy data flows into event‑driven architectures with strong observability.

Collaboration with engineering peers and stakeholders is key. Applicants should have geospatial data experience, Java/Spring Boot expertise, and cloud infrastructure

Qualifications

• Experience with geospatial data processing and PostGIS, CRS, and scientific imagery formats.
• Designing high-throughput microservices and event-driven pipelines for real-time data.
• Tools for scientific visualization and real-time imagery rendering.

Responsibilities

• Provide technical leadership in scalable data ingestion, storage, cataloging, API, and processing.
• Guide development of microservices and modern cloud‑based architectures.
• Evolve legacy data flows into event‑driven systems with strong observability.
• Collaborate across teams and with senior stakeholders on technical direction.

Skills

Geospatial data processing

High-throughput microservices

Scientific visualization tooling

Java Spring Boot & cloud technologies

System architecture & strategy

End-to-end scientific data workflows

Public Trust / Suitability clearance

Education

Bachelor’s degree

Tools

PostGIS

Kafka

Pulsar

AWS EKS

S3

SQS/SNS

IAM

MongoDB

Redis

Job description

Booz Allen Hamilton is seeking a Scientific Data Engineering Specialist to lead scalable data ingestion, storage, cataloging, API, and processing capabilities. You will ensure high‑volume, secure data pipelines, guide microservice development, and evolve legacy data flows into event‑driven architectures with strong observability.

Collaboration with engineering peers and stakeholders is key. Applicants should have geospatial data experience, Java/Spring Boot expertise, and cloud infrastructure