Full-Stack Data Analytics Engineer | Dashboards & APIs

Vantor Inc.; Herndon (VA); Sur place; USD 140 000 - 200 000; Plein temps

Avantages offerts par ce poste

401(k) match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Résumé du poste

Vantor Inc. is seeking an experienced Full Stack Software Engineer to design, develop, and sustain data analytics applications for a large-scale government platform.

You will build interactive web apps, backend services, and APIs, collaborating with data scientists and government stakeholders to translate requirements into scalable, secure solutions. The role emphasizes delivering user-friendly analytics capabilities, integrating models, and ensuring robust data visualization and exploration.

Qualifications

• Bachelor's degree in computer science, software engineering, information systems, or related field.
• 8+ years of total professional experience in a technical role.
• Experience in full-stack software development and web app engineering.

Responsabilités

• Design, develop, test, and maintain interactive web applications and back-end services for data analytics.
• Integrate data sources, analytical models, and APIs into user-facing apps for advanced analytics workflows.
• Develop interactive dashboards, visualizations, and user interfaces for data exploration and reporting.
• Build RESTful APIs, microservices, and database integrations to support data access and processing.
• Collaborate with engineering and analytics teams to support CI/CD and secure deployment.

Connaissances

JavaScript/TypeScript

React

Angular

Vue.js

REST APIs

Web development

Data-driven apps

Formation

Bachelor's degree in CS or related field

Outils

Docker

Kubernetes

AWS

Azure

GCP

PostgreSQL

MongoDB

Elasticsearch

Description du poste

Vantor Inc. is seeking an experienced Full Stack Software Engineer to design, develop, and sustain data analytics applications for a large-scale government platform.

You will build interactive web apps, backend services, and APIs, collaborating with data scientists and government stakeholders to translate requirements into scalable, secure solutions. The role emphasizes delivering user-friendly analytics capabilities, integrating models, and ensuring robust data visualization and exploration.