Job Details
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
- 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
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