The Washington Post's census analysis project aimed to create an interactive story on racial and demographic shifts in the U.S. over the past 30 years by processing extensive census data from 1990 to 2020. The Newsroom Engineering team employed Mapbox's MTS, a Spark-based service, to efficiently handle data preprocessing, which involved reconciling changes in census tract boundaries and field definitions, and to construct a tileset for graphics reporting. MTS facilitated rapid iteration through its user-friendly configuration files called "recipes," allowing developers to adjust the tileset layers quickly after a single data upload and ensuring performance across devices through insights from the Tileset explorer tool. The project highlights MTS's advantages over the legacy tool Tippecanoe, including faster processing times, better tooling for visualization and statistics, seamless data pipeline automation, and more robust data manipulation capabilities. By enabling streamlined collaboration and efficient data handling, MTS proved effective for The Washington Post's interactive mapping needs, building on its past projects involving complex datasets.