Founding Data Infrastructure Engineer (Query Engine)

Zaimler is an innovative startup backed by top VC funds, focused on revolutionizing enterprise data preparation for the AI era. We're building cutting-edge solutions to bridge the gap between enterprise business knowledge and data, making it AI-ready faster and more reliable.

As a Founding Data Infrastructure Engineer specializing in Query Engine development, you'll be at the forefront of building scalable, high-performance systems that power our data processing capabilities. This role combines deep technical expertise in distributed systems with the opportunity to shape the foundation of our engineering culture.

The ideal candidate thrives in early-stage environments and is passionate about solving complex data challenges at scale. You'll work with a team of seasoned experts from companies like LinkedIn, Visa, Truera, Hive, and Branch, contributing to systems that handle petabyte-scale datasets and integrate with modern data lake formats.

We offer a collaborative environment in our San Mateo office, with flexible hours that promote in-person innovation. Our comprehensive benefits package includes competitive compensation, equity, full medical coverage, and visa sponsorship for international talent. This is a unique opportunity to join a well-funded startup that's tackling significant challenges in the enterprise AI space, working alongside ML research and data infrastructure experts to shape the future of enterprise AI.

The role demands expertise in languages like Java, Scala, or Rust, combined with deep knowledge of query engine internals and distributed systems. You'll be involved in everything from performance optimization to integration with modern data lake formats, making this an ideal position for someone who wants to make a significant impact in the data infrastructure space.