Staff Data Engineer | Luma

Role Overview

Staff Data Engineer at Dotmatics, supporting Luma, an AI-native multimodal research platform for scientific intelligence. You’ll help build reliable, scalable data and engineering systems that accelerate scientific discovery.

Responsibilities

• Define and drive system architecture for services in a Node.js/TypeScript ecosystem.
• Improve engineering standards, patterns, and best practices for distributed systems, observability, and reliability.
• Architect and implement serverless and event-driven data processing pipelines for high-volume scientific data.
• Ensure scalability, maintainability, and security of software solutions.
• Provide technical guidance: lead mentorship, perform code reviews, and raise the bar for design, code quality, and operational excellence.
• Help shape user interfaces that improve usability and speed up scientific research.
• Collaborate with other teams to build scientific solutions on top of a best-in-class scientific data engine.

Requirements

• 12+ years of engineering experience (preferably in a SaaS environment).
• Preferably a degree in Computer Science, Software Engineering, or equivalent.
• Advanced data engineering pipeline and asynchronous processing experience.
• Expert knowledge of Node.js and React.
• Proven experience designing and implementing distributed, event-driven systems.

Nice-to-Haves / Additional Signals

• Experience with using AI in everyday work or personal projects, with motivation to apply AI to software development and drug discovery.
• Based in the EST time zone; infrequent office visits in Boston for team meetings.