Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. Mapbox Boundaries is an expertly curated set of global boundary data that allows you to add boundaries to your maps, dashboards, and data visualizations. Mapbox Boundaries consists of multiple data layers that come cartographically-matched, georeferenced, and processed as a Mapbox vector tileset ready for integration with your maps and data. From business intelligence analysis and data journalism to territory planning and logistics management, customers utilize boundary maps data in countless solutions. Our Boundaries team is a part of the Search Data organization that supplies address, boundaries, place, and points of interest (POI) data for global searches in countries around the world. Search is crucial for our customers’ applications and we are a key partner to the Maps and Navigation organizations at Mapbox. Whether you’re trying to find a place among the vast ocean of data on a global map or to find the exact location of a venue a few miles down the road, Search is in the critical path of our customers’ experiences. Our world is not static and, therefore, our data cannot be static. It needs to be constantly updated and available for Mapbox developers to utilize when they want to build a BI dashboard, create a navigation app, or customize the world for their audience. We want to expand our Boundaries data offerings to allow our users to consume more of our data to create their version of a living map and location service. This role will be focused on data engineering for feature expansion, improving coverage, increasing polygon precision, and building pipelines to ingest new data sources.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed