Software/Data Engineer - Geospatial Algorithms

AQUA IT
Herndon, United States of America
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Herndon, United States of America

Tech stack

Geographic Information Systems
Algorithm Design
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Cloud Computing
Computer Programming
Data as a Services
Information Engineering
ETL
Data Warehousing
Amazon DynamoDB
Performance Tuning
Amazon Web Services (AWS)
Software Engineering
Servicebus
Build Management
Data Lake
Kubernetes
Deployment Automation
Amazon Web Services (AWS)
Api Gateway
Amazon Web Services (AWS)
Stream Processing
Data Pipelines
Redshift

Job description

  • Demonstrated familiarity with software engineering practices specifically applied to geospatial data processing and the development of spatial algorithms at scale

Requirements

  • 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, EventBridge, SQS, SNS o Experience with data services: RDS, DynamoDB, Redshift, S3, Athena o Container orchestration with ECS, Fargate, or EKS

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

Apply for this position