Software Engineer – Geospatial Algorithms

aqua IT • Herndon OR Springfield, VA

5d • Onsite

About The Position

This role focuses on software engineering practices applied to geospatial data processing and the development of spatial algorithms at scale. The engineer will work with vector geospatial data products and their associated processing pipelines, including ingestion, transformation, and quality validation workflows. A strong understanding of modern software engineering principles and cloud-native environments is essential for designing and deploying scalable, production-grade geospatial solutions.

Requirements

• TS/SCI with CI Poly required
• Must be willing to work in SCIF daily or as needed
• 5+ years of professional software engineering experience with cloud-first development approach
• 5+ years of hands-on experience with AWS CDK for Infrastructure as Code
• 3+ years building complex, reusable CDK constructs and stacks
• Proficiency in async programming and performance optimization
• 3+ years implementing multi-environment deployment strategies using CDK
• 5+ years of advanced Python development experience
• 4+ years of data engineering experience
• ETL/ELT pipeline development using AWS services
• Experience with data lakes, data warehousing, and analytics platforms
• Real-time data processing and streaming architectures
• 3+ years with AWS cloud-native services
• Advanced knowledge of Lambda, API Gateway, EventBridge, SQS, SNS
• Experience with data services: RDS, DynamoDB, Redshift, S3, Athena
• Container orchestration with ECS, Fargate, or EKS
• Strong problem-solving abilities with proven track record of resolving complex technical challenges

Nice To Haves

• 3+ years of software engineering experience with a focus on geospatial data processing and spatial algorithm development
• Hands-on experience working with vector geospatial data products and familiarity with common processing workflows, including ingestion, transformation, and quality validation
• Strong command of modern software engineering principles and cloud-native environments, with demonstrated ability to build and deploy scalable, production-grade geospatial solutions

Responsibilities

• Demonstrated familiarity with software engineering practices specifically applied to geospatial data processing and the development of spatial algorithms at scale
• Strong understanding of vector geospatial data products and their associated processing pipelines, including ingestion, transformation, and quality validation workflows
• Thorough understanding of modern software engineering principles and cloud-native environments, with the ability to design and deploy scalable, production-grade geospatial solutions

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed