We are looking for a Founding Engineer, Core. to join our team and help build our core technology. As a founding engineer, you will work directly with the co-founders to design and develop a platform that supports various data storage and processing technologies, including Snowflake, DuckDB, Trino, and ClickHouse.

This is a full-time position in our San Francisco office, where you will have the opportunity to participate in the development of the company's technologies from the ground up and be responsible for key technical milestones.

You are a backend engineer with experience working with distributed systems, database engines, and data infrastructure.

You may work on:

- Creating and refining the core logic that determines when to route queries to Snowflake, DuckDB, Trino, or ClickHouse based on cost, performance, and data freshness.
- Developing a system to map the logical query engine plan and serialize the plan representing the SQL view for consistent use across multiple systems.
- Creating an automated test suite to compare query latency, throughput, and cost between supported engines on real workloads and data layouts.
- Develop and maintain query engine APIs for modeling and testing query engine behavior in different scenarios.
- Help build a new generation of Iceberg-optimized data storage layer designed to better serve analytics workloads using columnar engines such as DuckDB.
- Create a framework to ensure data integrity across multiple query engines.
- Scale infrastructure in distributed systems.
Experience that will help you succeed

- Data engineering, data storage, distributed systems, and infrastructure development
- Cloud data platforms such as Snowflake, Databricks, Dremio, ClickHouse, etc.
- Lakehouse systems built on open table formats such as Iceberg, Hudi, or Delta Lake
- ETL, data modeling, database optimization, performance tuning, and query engine optimization
- Python, Rust, or Java
- Startups and early-stage companies