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Senior Software Engineer, Database Engineering

Company: Cube.js
Location: San Francisco
Posted on: January 16, 2022

Job Description:

Type of work
San Francisco, USA or Remote
At Cube Dev, we are building the API layer for data apps.
We are focused on developer success, bottom-up adoption, and open source. Cube.js, our flagship open-source product, has 11,000 stars on GitHub and 4,000 developers in the community Slack. Cube.js is used by companies ranging from Apple, Intel, and Walmart to fast-growing Silicon Valley startups.
Currently, we are a 20-person remote-first team distributed over the US, UK, and Europe with an HQ in San Francisco. Having raised our Series A in July 2021, we're funded by top-tier Silicon Valley venture funds that have previously invested in Redis, Hazelcast, Gradle, and other infrastructure software startups.
As an engineer of the Cube.js Core team, your main goal will be to build and maintain various parts of open-source Cube.js Core (), community support in our Slack, as well as development of Cube Cloud product.
Some of the things you'll be working on

  • SQL generation and rewriting. Cube.js is a simple yet powerful way to organize SQL queries. The Cube.js way is to generate the best possible SQL query for a given database while abstracting all complex stuff from users and giving them full power of SQL at the same time. To solve this problem, Cube.js parses SQL queries written by users to understand the structure and rewrites them to apply performance optimizations.
  • Cube Store. Cube.js is used to serve analytics for trillions of data points with sub-second response times. To keep up-to-date with growing big data demands and serving speeds we're developing our own database optimized for serving huge aggregated tables with latencies of several milliseconds.
  • Cube.js APM. One of the main tech problems for Cube Cloud is to provide APM analytics of Cube.js instances using Cube.js itself. Being purely a dog food problem, large-scale real-time analytics has a lot of challenges, most of which will be solved for the first time ever using the SQL approach.


    • Expert in database algorithms and data structures: columnar vs row storage, SQL parsing, query planning, indexes, partitioning, join algorithms, filter pushdown optimizations, HLL.
    • Expert in C++, Rust, or any other low-level language.
    • Good communication skills.
    • Fluent English.
    • Previous startup experience or interest in working in a small fast-moving company.

      Bonus points

      • Development experience with JavaScript, React, Node.js.
      • Expert in at least one of the high-level VM languages such as Node.js, Ruby, Python, Java, Scala, C#, or similar.
      • Experience with contributing to or the maintenance of an open-source project.
      • Experience in data engineering, building analytics applications, or OLAP.
      • Experience with Docker and k8s, AWS, GCP.

Keywords: Cube.js, San Francisco , Senior Software Engineer, Database Engineering, IT / Software / Systems , San Francisco, California

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