Principal Software Engineer, Cube

Salary not provided

SQL

AWS

Tableau

Node.js

Postgres

Abstract

C++

Athena

Rust

Metabase

Snowflake

BigQuery

Slack

Cube

Expert level

Remote in US

Analytical API platform

Open for applications

Analytical API platform

21-100 employees

B2BAnalyticsBusiness IntelligenceSaaSAPI

Open for applications

Salary not provided

SQL

AWS

Tableau

Node.js

Postgres

Abstract

C++

Athena

Rust

Metabase

Snowflake

BigQuery

Slack

Cube

Expert level

Remote in US

21-100 employees

B2BAnalyticsBusiness IntelligenceSaaSAPI

Company mission

To power the next generation of data experiences by bringing clarity, consistency, and context to business data and making it easy to securely deliver that data to every data consumer in the enterprise.

Job

Company

Role

Who you are

Expert in data structures and algorithms
Base understanding of how databases work
Strong coding skills
Experience 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

Desirable

Experience with Abstract Syntax Trees and parsing
Experience with database query planning process
Experience in data engineering, building analytics applications, or OLAP
Experience with implementing network protocols, analyzing packets
Embedding native code into Node.js or any other language

What the job involves

Cube is The Semantic Layer platform for data engineers and application developers to make data accessible and consistent across every application
It helps provide access to data, organize it, and deliver it to every tool so data engineers and developers can build powerful, fast, and consistent data applications
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 provides SQL API which gives an ability to access Cube 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 PostgreSQL server has
Under the hood, It uses an advanced rewrite term system powered by EGraphs to plan queries and Apache Data Fusion to execute those
We’re looking forward to further improving SQL API support by providing sophisticated join queries, predicate push down, cost based optimization and post processing capabilities as well as support for more BI platforms and data consuming tools
That’s why we’re looking for a Principal 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

Our take

With data scattered across various systems, many businesses struggle to meaningfully analyse it. The inconsistency in formats and locations makes data integration complex and time-consuming, so Cube tackles this challenge with its semantic layer platform.

Cube's platform unifies data from different sources into a consistent format. This simplifies data ingestion and analysis for developers. Plus, it provides a central API that eliminates the need to manage multiple data systems and APIs individually.

Recently securing substantial funding, Cube is now ready to expand its market reach and platform development. It will work to improve its capabilities to handle complex calculations and reduce the need for custom coding. This will lead to greater efficiency and cost savings for its users, positioning the company in a prime position for growth.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Jun 2024

$25m

EARLY VC

Jul 2021

$15.5m

SERIES A

Total funding: $46.7m

Company benefits

Work from anywhere (we'll cover the cost of a coworking space if you'd rather prefer not working from home)
Generous stock options
Unlimited Personal Time Off
Off-sites several times a year for a week of meetings, events, and fun
Personal development support such as training courses, free books on our Kindle account, and other options

Company HQ

SoMa, San Francisco, CA

Articles

Cube reels in $25M for its semantic layer platform for data

Cube Announces New Intelligent Capabilities to Accelerate Development of AI and Embedded Analytics Solutions

Leadership

Artyom Keydunov

(CEO)

Previously co-founded Statsbot where they served as the CEO for 4 years. Prior to that, they were a Senior Ruby Developer at Happy Numbers.

Pavel Tiunov

(CTO)

Previously co-founded Statsbot and served as the CTO for 4 years. They also co-founded AllcountJS. They are also experienced as a Software Engineer, having worked at Toptal, Quarta VK and NetCracker

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