pandas, polars, Arrow, DuckDB/DataFusion, Parquet, PostgreSQL

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Location: Boston, MA Remote: Yes (preferred) Willing to relocate: No Technologies: Python, TypeScript, Rust, SQL | pandas, polars, Arrow, DuckDB/DataFusion, Parquet, PostgreSQL | React, ag-grid, FastAPI, Django | MCP servers, LLM tool design, agent evals Email: [email] I build data tools, from the dataframe backend to the browser. I created and maintain Buckaroo ( https://github.com/paddymul/buckaroo ), an open source dataframe UI for Jupyter, marimo, and VSCode — summary stats and a histogram over every column, across pandas and polars. 683 stars. Scrolling millions of rows without eating the browser took a segment-merging row cache and parquet decoded client side. Recently: Tallyman, a data science environment for coding agents. Named computations in a dependency DAG, results rendered live in a browser companion, every step keeping the prompt that made it. Demoed at PyData London 2026. Before that: Flatfile, Attune, Tudor, and Bokeh/Wakari at Anaconda. Looking for data infrastructure, developer tools, or agent tooling — where a hard backend problem has to surface as something a person can use. Contact: [email]

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