Full-Stack Engineer - Geospatial & Cloud Analytics

InvestedintheMission; Herndon (VA); On-site; USD 113,000 - 165,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Adoption reimbursement

Pet insurance

Student loan repayment assistance

Job summary

Vantor is seeking a seasoned full-stack software engineer to support the full analytical workflow, including ELT, data processing, and AI/ML techniques on large geospatial datasets. You will work with cloud-based processing and collaborate with diverse teams to deliver scalable, mission-critical software.

The role requires U.S. citizenship with TS/SCI clearance and a Bachelor's in CS or related field, plus 5+ years of experience. Strong Linux, Docker, Kubernetes, and AWS skills are essential.

Qualifications

• U.S. citizenship and TS/SCI clearance required.
• Bachelor's degree in Computer Science or related field.
• 5+ years of software development experience including design and implementation.
• Proficiency in one major multiparadigm language (Python/Java/Go/Rust).
• Experience with data extraction, manipulation, visualization of large datasets.
• Experience designing cloud architectures, including AWS and C2S.
• Experience with containers and orchestration (Docker, Kubernetes) in cloud or hybrid environments.
• Proficiency with Linux environments and CI/CD pipelines.

Responsibilities

• Design and implement scalable solutions for mission-critical applications.
• Participate in all stages of the software development lifecycle.
• Apply standards to produce maintainable software.
• Work with cloud stacks to extract, transform, and visualize geospatial data.
• Develop analytics products to derive actionable insights for users.
• Troubleshoot issues and collaborate with diverse teams.

Skills

Python

Java

Go

Rust

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

AWS

CI/CD pipelines

Job description

Vantor is seeking a seasoned full-stack software engineer to support the full analytical workflow, including ELT, data processing, and AI/ML techniques on large geospatial datasets. You will work with cloud-based processing and collaborate with diverse teams to deliver scalable, mission-critical software.

The role requires U.S. citizenship with TS/SCI clearance and a Bachelor's in CS or related field, plus 5+ years of experience. Strong Linux, Docker, Kubernetes, and AWS skills are essential.