Staff Data Engineer | Luma

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Engineer | Luma in United States.

This role is ideal for a highly experienced data engineer who thrives on building scalable, reliable, and high-performance data systems. You will help shape the architecture and technical direction of an AI-powered research platform, designing event-driven pipelines, distributed systems, and intuitive scientific applications. Working in a collaborative, remote-friendly environment, you will mentor engineers, drive engineering best practices, and contribute to cutting-edge solutions that accelerate scientific discovery. The position offers the opportunity to work with large-scale data, cloud technologies, and modern development frameworks, while having a tangible impact on scientific research workflows. This is a role for someone passionate about innovation, AI integration, and building tools that empower researchers globally.

• Define, design, and drive system architecture for services within a Node.js/TypeScript ecosystem
• Build and maintain serverless, event-driven data pipelines for high-volume scientific data
• Ensure software solutions are scalable, maintainable, and secure
• Mentor and provide technical guidance to engineers, conduct code reviews, and elevate coding standards
• Collaborate with cross-functional teams to implement scientific solutions on a unified data platform
• Improve engineering practices and standards, focusing on observability, reliability, and operational excellence
• Contribute to the design of user interfaces that streamline research and data workflows

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Requirements:

• 12+ years of engineering experience, preferably in a SaaS environment
• Degree in Computer Science, Software Engineering, or equivalent experience
• Advanced expertise in Node.js and React; strong experience in asynchronous processing and data pipelines
• Proven ability to design and implement distributed, event-driven systems and high-performance web applications
• Hands-on experience with large-scale data platforms (Spark, Databricks, Snowflake) and PostgreSQL
• Professional experience with AWS, Kubernetes, RESTful APIs, and CI/CD pipelines (GitHub Actions)
• Knowledge of Agile software development practices and automated testing frameworks
• Experience leading cross-team initiatives, setting technical direction, and mentoring engineers
• Bonus: experience with Scala, Kafka, Terraform, multi-cloud systems, Life Sciences/R&D data management

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Benefits:

• Competitive base salary: $142,445 – $163,811 USD
• Medical, dental, and vision insurance with company contributions
• Health spending accounts and wellness benefits, including mental health and fitness perks
• Company-paid life and disability insurance
• 401(k) retirement plan with 4% company match and immediate vesting
• Flexible time-off policy for exempt employees
• Remote-friendly work environment with occasional in-office collaboration in Boston