Software Engineer – Geospatial Data & Database

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• Software Engineer – Geospatial Data & Database

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
• 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, Event Bridge, SQS, SNS
• Experience with data services: RDS, Dynamo
  
  DB, 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 hands‑on experience managing and optimizing Postgre
  
  SQL or Aurora Postgres databases in production environments, with demonstrated expertise in PostGIS for geospatial workloads
• Strong understanding of database security best practices, including Row Level Security (RLS) implementation and multi‑tenant access control strategies
• Proven experience designing and optimizing spatial database schemas, implementing spatial indexing strategies, and tuning complex geospatial queries for performance at scale
• Solid operational experience with database administration tasks including backup/recovery, version upgrades, scaling strategies, monitoring tools, and troubleshooting production incidents
• Familiarity with cloud-native database services (AWS RDS/Aurora preferred) and infrastructure‑as‑code practices