Data Infrastructure Engineer (Query Engine)

What You’ll Do

zaimler's query engine powers graph-native queries across a two-layer system: an internal storage and indexing layer, and a pass-through layer that queries live into customer data platforms like Snowflake and Databricks. You'll work across the engine's coordinator, compiler, and executor, extending language and function support, and helping build queries that reason across multiple data sources at once.

What You'll Own

• Extend the query engine's language and function support over time
• Help build cross-source query capabilities: answering questions that span multiple data sources in a single query
• Work on the storage and indexing layer that the query engine runs against
• Build and maintain the layer that queries live into external systems like Snowflake and Databricks
• Work directly in the engine's core components: coordinator, compiler, executor

Prior Experience

• Strong database fundamentals: you understand consistency models, transactions, and how storage layers actually work under the hood, not just how to query one
• Experience running systems at real production scale, where naive approaches start to break down
• A systems mindset: background in OS, file systems, distributed systems, or database internals, from industry or research
• Ability to work from ambiguous, evolving problems rather than fully scoped tickets
• A bias toward hands-on execution over pure architecture or process ownership

Nice to Have

• Experience with graph query languages (e.g. Cypher)
• API development experience
• Background at a data intensive company or research lab
• Prior experience at an early-stage startup, developing systems and processes from scratch.