You'll be a Data Infrastructure Engineer focused on zaimler's query engine, which powers graph-native queries across internal storage and live customer data platforms. You'll work on the coordinator, compiler, and executor components, extending language and function support to enable reasoning and aggregation across multiple data sources. This role is critical to delivering the semantic platform that makes enterprise data AI-ready at scale.

What You'll Do

• Design and extend the query engine's compiler and executor to support new language features and functions.
• Build and optimize graph-native query capabilities that reason across multiple data sources simultaneously.
• Develop pass-through query logic that seamlessly integrates with customer platforms like Snowflake, Databricks, and Oracle.
• Collaborate with the platform team to improve query performance, reliability, and scalability in high-volume data ecosystems.
• Debug and resolve complex query execution issues in production environments serving Fortune 500 customers.

What We're Looking For

• Strong systems programming experience, ideally with query engines, distributed systems, or data infrastructure.
• Proficiency in languages like C++, Rust, or Java for building high-performance systems.
• Experience with SQL, query optimization, or compiler design.
• Familiarity with data platforms and federated query execution across multiple sources.
• Ability to reason about performance trade-offs and scale challenges in enterprise data systems.
• Collaborative mindset and comfort working in a fast-moving startup environment.