What is the role of a Staff Data Engineer | Luma at Jobgether?

The Staff Data Engineer | Luma position at Jobgether is a Full-time or part-time position opportunity in the Information Technology field.

Where is this Staff Data Engineer | Luma job located?

United States, Other / Non-US, United States

What type of employment is offered for this Staff Data Engineer | Luma role?

Full-time or part-time position

What is the expected salary for this Staff Data Engineer | Luma job?

Compensation will be discussed during the hiring process.

How can I apply for the Staff Data Engineer | Luma position at Jobgether?

You can apply directly through the application link provided.

Staff Data Engineer | Luma at Jobgether | Jobs and Employment

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.

Accountabilities:

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

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

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

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Staff Data Engineer | Luma at Jobgether – United States

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