Cube is an API-first business intelligence platform for data engineers and application developers to make data accessible and consistent across every application.
It helps provide access data, organize it, and deliver it to every tool so developers can build powerful, fast, and consistent data applications.
At Cube we are building a technology stack for modern analytics. If you are fascinated by the software that powers large technology companies but want the challenges and freedom that come with working in a small startup, then the job at Cube.js is for you. We are a small and dedicated team in San Francisco, funded by top-tier SV investors, working on making advanced analytics infrastructure developed at large tech companies accessible to all developers around the world.
Cube is used to build analytical APIs over trillion data point datasets in SQL databases (e.g., Postgres, ClickHouse) and data warehouses (e.g., Google BigQuery, AWS Athena, Snowflake). Such APIs serve requests with sub-second latency and high concurrency.
Cube.js provides SQL API which gives an ability to access Cube.js from BI tools like Apache Superset, Metabase, Tableau, etc. To achieve that we have implemented a server with the same interface and protocol as the MySQL server has. It’s written in Rust language but we embedded it into the Cube.js process (Node.js) via Neon. Under the hood, It uses different strategies for execution: simple transpiling from SQL to OLAP or real query engine (it uses Apache Data Fusion).
We’re looking forward to further improving SQL API support by providing joins, data blending and post processing capabilities as well as support for more BI platforms and data consuming tools.
That’s why we’re looking for a Software Engineer to join the Cube team to work on SQL API. You will contribute to Cube and maintain its codebase on GitHub, participate in community support in Slack.
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