Data Infrastructure Engineer: Cross-Source Query Engine

zaimler, Inc

San Mateo (CA)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Medical benefits
401k
Onsite in San Mateo

Job summary

zaimler, Inc is building the next-generation semantic platform that connects fragmented enterprise data and enables reasoning over knowledge. You will extend the query engine's language and function support while building cross-source query capabilities across Snowflake, Databricks, and more.

You’ll work in the engine's core components—coordinator, compiler, executor—across storage, indexing, and live data access layers, tackling production-scale systems with a practical, hands-on mindset.

Qualifications

  • Strong database fundamentals: understanding of consistency models, transactions, and storage layers
  • Experience running production-scale systems
  • Systems mindset: OS, file systems, distributed systems, or database internals
  • Ability to work from ambiguous, evolving problems rather than fully scoped tickets
  • Bias toward hands-on execution over pure architecture or process ownership

Responsibilities

  • Extend the query engine's language and function support over time
  • Help build cross-source query capabilities: answering questions spanning 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

Job description

zaimler, Inc is building the next-generation semantic platform that connects fragmented enterprise data and enables reasoning over knowledge. You will extend the query engine's language and function support while building cross-source query capabilities across Snowflake, Databricks, and more.

You’ll work in the engine's core components—coordinator, compiler, executor—across storage, indexing, and live data access layers, tackling production-scale systems with a practical, hands-on mindset.

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