Count is seeking experienced software engineers interested in tackling deep technical challenges in the data analytics space. The role involves developing in-house technologies such as a custom WebGL rendering engine, a data visualization library, and a reactive SQL/Python notebook and database query framework. Example projects include accelerating rendering using quadtree tiling, extending interactivity and customizability of visualizations, leveraging LLMs in data exploration, and developing serverless frameworks for executing database queries at high concurrency. The tech stack includes TypeScript, Python, Node, WebAssembly, WebGL, Apache Arrow/Parquet, DuckDB, Kubernetes, and React.
Count is like Jupyter, Tableau and Miro combined in one tool. Some of the world's leading data teams use it for everything from iterating data models and performing in-depth analyses to creating process flow maps of their entire business.
