Data Performance Engineer at Starburst

At Starburst, we are dedicated to breaking down the barriers of data silos and vendor lock-in. We believe that database companies should not hold their customers hostage, which is why we built a full-featured data lake analytics platform powered by open-source Trino. Our mission is to help organizations discover, organize, and consume their data without the burden of expensive or time-consuming migrations. With over 300 leading organizations relying on us, we have grown into a global, remote-first team that values character, competence, and ownership above all else.

The role

We are seeking a Senior Data Performance Engineer to join our team on a full-time basis. This is a remote position available to candidates anywhere in the world. In this role, you will focus on our flagship product, Starburst Galaxy, helping us push the boundaries of internet-scale data lake analytics. You will be instrumental in analyzing performance metrics, benchmarking our solutions against the market, and shaping the future of our platform through strategic testing and technical recommendations.

Core responsibilities

• Develop a deep mastery of the Starburst Galaxy architecture to provide expert guidance on performance issues across the entire product lifecycle.
• Design and implement comprehensive performance testing strategies, including the creation of instrumentation to compare our solutions against current market offerings.
• Work alongside our product management, engineering, and solutions teams to refine our performance roadmaps and drive continuous product improvement.

Skills and experience

To succeed in this role, you should possess a strong background in performance engineering and a passion for data systems. We are looking for the following qualifications:

• At least 5 years of experience with performance testing design and best practices.
• Proven hands-on experience analyzing and benchmarking complex SaaS products.
• Proficiency in SQL, specifically for data warehousing and analytics use cases.
• Practical experience with software development using Python or Java.
• Strong communication skills, with the ability to translate technical performance concepts for both engineering peers and executive leadership.
• A solid foundational understanding of databases, data processing, and data warehousing.

Compensation and benefits

We are committed to supporting our global team members through a comprehensive benefits package that reflects our investment in your growth. This role includes:

• Remote work flexibility.
• Equity compensation to ensure you share in the success of the company as we grow.

How to apply

If you are a top performer who is excited about solving complex data challenges, we would love to hear from you. Please submit your application to join our team of All-Stars and help us continue to innovate in the data analytics space.