Founding Data Infrastructure Engineer (Query Engine)

AI-focused company bridging enterprise business knowledge and data, democratizing data discovery and curation for the era of generative AI.
Data
Staff Software Engineer
In-Person
8+ years of experience
AI · Enterprise SaaS

Description For Founding Data Infrastructure Engineer (Query Engine)

Join Zaimler, a venture-backed company revolutionizing enterprise data preparation for the AI era. We're tackling the critical challenge of making enterprise data AI-ready through innovative solutions that bridge the gap between business knowledge and data infrastructure.

As a Founding Data Infrastructure Engineer focusing on Query Engine development, you'll be at the forefront of building scalable, high-performance systems that power our data democratization mission. You'll work with cutting-edge technologies and contribute to solving complex challenges in distributed systems and query processing.

Our team comprises seasoned experts from industry leaders like LinkedIn, Visa, Truera, Hive, and Branch, bringing decades of experience in data infrastructure and machine learning. We're looking for someone who thrives in early-stage environments, has deep technical expertise in distributed systems, and can navigate the complexities of building robust systems from scratch.

You'll have the opportunity to shape our engineering culture, mentor others, and work cross-functionally in an environment that values transparency and innovation. If you're passionate about distributed systems, query optimization, and want to make a significant impact on how enterprises leverage AI, this role offers an exciting opportunity to be part of a transformative journey in enterprise AI.

The position offers the chance to work with modern data lake formats, contribute to open-source platforms, and stay at the cutting edge of query processing and distributed systems development. Join us in our mission to empower AI and data scientists while building the future of enterprise AI infrastructure.

Last updated a month ago

Responsibilities For Founding Data Infrastructure Engineer (Query Engine)

  • Build scalable, fault-tolerant query engines optimized for performance and resource efficiency
  • Apply advanced techniques for query execution optimization
  • Develop integrations with modern data lake formats and semantic layers
  • Architect solutions for distributed environments
  • Contribute to or extend platforms like Apache Spark, Presto, and Trino
  • Collaborate with product, data science, and engineering teams
  • Research and implement latest advancements in query processing and distributed systems

Requirements For Founding Data Infrastructure Engineer (Query Engine)

Java
Scala
Rust
Linux
  • Proficiency in programming languages such as Java, Scala, Rust, or C++
  • Deep understanding of query engine internals, distributed systems architecture, and parallel query processing
  • Experience with modern big data technologies (e.g., Apache Spark, Presto, Trino) and data formats
  • Proven ability to build and optimize scalable systems for petabyte-scale datasets
  • Strong grasp of SQL semantics, execution plans, and query optimization techniques

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