Cascade is building a no-code data analysis platform, allowing analysts to build with the power of Python without needing to code.
Cascade's mission is to give skilled data analysts the tools they need to express their talent without also needing technical skill. Non-technical data analysts have not gotten a tool upgrade in years — 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 in a story-like format. Unlike work done in a spreadsheet, analysis in Cascade is repeatable, auditable, deeply collaborative and automatically up-to-date. Data stories live online, ready for others to explore and build on.
Cascade is led by serial entrepreneurs and is backed by First Round Capital, Redpoint, Susa and other top investors.
Cascade is hiring a Senior 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 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 systems engineer, you'll be joining the initial engineering team at Cascade. This position will work closely with the CTO and founding eng team members as they lay the engineering foundation and build the early versions of the Cascade product. Given the wide nature of the role and the size of the team, you'll have a hand in most new projects, and in many cases, you'll own a new feature from start to finish. 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 React, Typescript, GraphQL, Python, Django, Postgres, Pandas, Arrow, & Redis.