Builds the data foundation for an AI and analytics product by matching records, modeling reliable datasets, and improving the quality and consistency of entertainment data.
About this role
Backend engineer for a new AI and data product using entertainment fan data to support decisions such as hit forecasting, overseas expansion and advertising investment. The role connects data prepared by the data platform to product features through reverse ETL. Work includes designing, building and operating APIs and server-side services; selecting databases according to data volume, processing needs and response speed; and implementing reliable, performant processing for large-scale and real-time data. It also includes enabling data scientists and analysts to run workflows themselves, with occasional collection or technical processing of external-service and web data. The listed stack includes Go, Python, TypeScript, React, Next.js, Tailwind, GraphQL, Google Cloud, Spanner, Firebase and Cloud SQL. Applicants need practical experience designing, developing and operating backend web services or APIs; three or more years building and operating Go web applications, or equivalent skills and experience; experience manipulating and analyzing data with SQL; and computer-science fundamentals including data structures and algorithms.
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