Data Engineer, AI/ML III/IV

At Zone 5 Technologies, we're redefining what's possible in unmanned aircraft systems. Our team of engineers and innovators is developing cutting-edge autonomous solutions that push the boundaries of UAS technology - solving complex challenges that matter.

We're building the future of UAS capabilities, and we're looking for exceptional talent to join us. If you're driven by hard problems, energized by rapid innovation, and ready to make an impact on next-generation flight systems, you belong here.

We are seeking a Data Analyst to build production-grade user interfaces and visualization systems for complex autonomy datasets. You will transform data insights into polished, intuitive dashboards, develop frontend components for analytics applications, and create compelling visual narratives that enable engineers to understand flight test results, sensor performance, and system behavior at a glance.

Responsibilities:Frontend Development & Dashboard Implementation

• Build responsive, production-ready web dashboards using modern frontend frameworks (React, TypeScript)

• Develop reusable UI components and visualization libraries for internal analytics applications

• Implement interactive features including filtering, brushing, zooming, and coordinated views across multiple charts

• Create polished user experiences with attention to performance, accessibility, and visual design

• Manage state, data flow, and API integration in complex single-page applications

Advanced Data Visualization

• Design and implement sophisticated visualizations for time-series, geospatial, and multi-dimensional data

• Build custom chart types and interactive graphics tailored to autonomy and flight test use cases

• Develop 3D trajectory viewers, map-based displays, and sensor visualization overlays

• Create real-time data streaming visualizations for live monitoring of autonomous systems

• Implement animation and transition effects that clearly communicate data changes over time

UI/UX Design & Data Presentation

• Design intuitive interfaces that make complex technical data accessible to diverse engineering audiences

• Create visual hierarchies and information architectures that guide users to critical insights

• Develop design systems and style guides for consistent visual language across analytics tools

• Conduct user testing and iterate on designs based on feedback from engineering teams

• Translate data insights into clear visual narratives that communicate findings effectively