Cascade is a no-code data analysis platform, allowing analysts to convert messy data into clear results without fighting spreadsheets or waiting for engineering help.
Every company contains smart, data-driven professionals capable of delivering extraordinary insights that drive critical decisions. But those teams pay a heavy tax, spending large chunks of time cleaning data or waiting in the engineering backlog. Cascade's mission is to uplevel those teams, giving them the tools they need to deliver results without code. Cascade unlocks their skillset by allowing them to combine data of all kinds and sizes, manipulate and explore datasets, run sophisticated operations and publish the results. By automating the messy data work, Cascade frees teams to express their talent fully and become more valuable to their organizations.
Cascade is backed by First Round Capital, Redpoint, Susa and other top investors, and is led by serial entrepreneurs.
Cascade is hiring a Backend Engineer to own, improve, and scale the platform to support increased usage and flexibility. A specific focus of the role will be to architect and build upon our in-memory backend data compute engine allowing analysts to seamlessly wrangle large sets of structured data and reduce performance bottlenecks across all of Cascade services and operations.
As a Backend Engineer, you'll be one of the first ten engineers at Cascade and thus tasked with handling a wide nature of tasks and responsibilities. You'll teach your peers patterns and best practices for production systems learned in previous roles as well as those gained from a broad understanding of Cascade systems. At the same time, you'll learn from the unique challenges of operating a large-scale data analysis platform with a robust set of tools. The eng stack is multi-tiered and consists of Python, Django, GraphQL, React, Typescript, Pandas, Arrow, & Redis.
