Why this role stands out
This hybrid role offers a fantastic opportunity to build impactful, data-driven applications for the NGA, integrating cutting-edge AI and focusing on intuitive user experiences with React and Next.js. You'll thrive here if you're a motivated mid-senior Frontend Engineer eager to leverage your skills in a mission-critical environment with significant opportunities for professional growth. Apply now to contribute to national security and shape the future of geospatial intelligence!
Quick overview
Job description
Job Description Frontend Data Application Engineer React / Analytics UI |
About the Role We're building modern, data-driven applications that support mission users across the National Geospatial-Intelligence Agency (NGA) environment. This role focuses on creating high-quality front-end experiences using React or similar JavaScript libraries and Next. JS or similar frameworks. You'll work closely with data engineers, analysts, and stakeholders to bring structured data into clean, performant, and intuitive interfaces that directly support operational decision-making. There are also active opportunities to integrate AI into user workflows from enhancing data exploration to automating insight generation. If you're motivated to apply AI in IC environments that are actively looking to adopt it, this is a strong place to do that.
What You'll Do Build Mission-Focused Data Applications
- Develop responsive web applications using React, Next.js, or similar frameworks
- Create reusable components for dashboards, charts, and analytical workflows
- Design interfaces that make complex and enterprise datasets easy to navigate
- Collaborate with data engineers to understand schemas, pipelines, and data models (e.g., SQL Server, Data Vault, or similar)
- Shape and transform data as needed for effective presentation in the UI
- Support integration of AI-driven capabilities into analytics applications
- Work with teams exploring applied AI use cases within IC mission systems
- Optimize applications for performance in data-heavy environments
- Continuously refine user experience based on mission feedback and operational needs
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