2 months ago
- Job Type
About Us BookNook is a dual bottom line education technology company that is committed to closing the early reading opportunity gap through innovations that prioritize authentic human connections to support learning. We believe the best edtech solutions are developed and supported by people with their roots in the classroom or the social sector, and we strive to build a team that reflects the diversity of the communities we serve.
A key feature of the BookNook product is our ability to leverage student performance data in order to track their progress and make informed lesson recommendations. We care deeply about the effectiveness of our approach, and as a Data Engineer at BookNook, you will play an integral role in building out and scaling our data strategy. The data engineer will work alongside our data analyst, psychometrician (testing expert), engineers, content experts, and product managers to build out an ETL and BI pipeline to help us answer key questions about the efficacy of our teaching methods. For instance, how does tutoring dosage affect student growth? Which cohorts of students are making the most or least progress, and why? When is a student ready to 'level up'? Our end goal is to productionalize machine learning models to track student growth accurately enough to ameliorate the burden of continual testing.
Join a company with a mission. BookNook has been around since 2016, is growing fast, and has already helped tens of thousands of children improve their literacy, especially those that come from the most disadvantaged environments. We're a scrappy, smart team that gets things done but we are strong believers in family, friends, and work-life balance. Work on exciting technology and make a tangible difference in the world every day.
#LI-Remote Apply now and work remotely at BookNook
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