Software​/Data Engineer - Geospatial Algorithms Security Clearance

Position: Software/Data Engineer - Geospatial Algorithms with Security Clearance
Software Engineer – Geospatial Algorithms 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 Qualifications/

Skills Required:

• 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
o Real-time data processing and streaming architectures

• 3+ years with AWS cloud-native services
o Advanced knowledge of Lambda, API Gateway, Event Bridge, SQS, SNS
o

Experience with data services: RDS, Dynamo

DB, Redshift, S3, Athena
o Container orchestration with ECS, Fargate, or EKS

• Strong problem-solving abilities with proven track record of resolving complex technical challenges

Preferred Qualifications:

• 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