Data Engineer, Places

Build and maintain data pipelines for place and location-related information, working with noisy signals and large geospatial datasets. Improve the quality, reliability, and observability of derived datasets by defining data-quality metrics and feedback loops. Prototype with Python, SQL, and notebooks, integrate scoped production experiments with backend systems, and run offline evaluations and A/B tests as needed.