Full-Stack Data Analytics Engineer (TS/SCI)

Vantor (Maxar Intelligence); Herndon (VA); On-site; USD 140,000 - 200,000; Full time

Job summary

Vantor is seeking an experienced Full Stack Software Engineer to design, develop, and sustain data analytics applications for a government-scale platform. You will build user-facing apps, back-end services, and APIs to enable exploration, visualization, and analysis of large datasets.

You will collaborate with data scientists and government stakeholders to translate analytics needs into scalable, secure software solutions, including dashboards, data services, and CI/CD-enabled deployments.

Qualifications

• 8+ years of total professional experience in a technical software role.
• Experience in full-stack software development and web application engineering.
• Strong proficiency with modern front-end technologies and responsive UI development.
• Backend experience with RESTful APIs and databases.

Responsibilities

• Full-Stack Application Development: design, develop, test, and maintain interactive web applications and back-end services.
• Data Analytics Application Integration: connect data sources, analytical models, and APIs into user-facing apps.
• Data Visualization and User Experience: build dashboards and visualizations for large datasets.
• Back-End Services and API Development: create RESTful APIs and manage data access.
• Agree on Agile development and platform integration, CI/CD, and secure deployment.

Skills

JavaScript/TypeScript

React/Angular/Vue

Python/Java/Go/C#

RESTful APIs

Web app development

Education

Bachelor's degree in CS/Software Eng or related field

Tools

Docker

Kubernetes

AWS

Job description

Vantor is seeking an experienced Full Stack Software Engineer to design, develop, and sustain data analytics applications for a government-scale platform. You will build user-facing apps, back-end services, and APIs to enable exploration, visualization, and analysis of large datasets.

You will collaborate with data scientists and government stakeholders to translate analytics needs into scalable, secure software solutions, including dashboards, data services, and CI/CD-enabled deployments.