Data Engineer at InClassToday

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Employer: InClassToday

Expires: 09/01/2020

About EveryDay Labs (formerly InClassToday)EveryDay Labs improves student outcomes through the power of behavioral science. We are partnering with school districts across the country to reduce absenteeism because we believe every student deserves the opportunity to learn every day.Our Absence Reports program uses behavioral science and data analytics to provide parents and families with tailored, actionable information about their children’s attendance. Seven randomized control trial studies conducted across 14 school districts have proven that the program reduces chronic absenteeism by 10-15%. We are passionate about iterating our products, refining our processes, and embracing and cultivating change. To date, we have served students across more than 2,000 schools, preventing more than 500,000 absences, equating to over 180 million minutes of instructional time they would have otherwise missed.Every day we strive to live our values: Student-Centered… at Scale, Stronger Together, Behavioral Science at the Core, Innovation Grounded by Evidence and Research, and Fearless about Learning.How You Can HelpAs Data Engineer at EveryDay Labs, your work will immediately improve student outcomes by helping districts across the country to reduce absenteeism and increase learning time for students who need it most — in the classroom and in remote learning. Your primary responsibilities will be analyzing student attendance data for our school district partners in order to deliver our Absence Reports program, write code to configure new district programs and automate processes, and to help our partners make data-informed decisions about their broader portfolio of attendance strategies. As an early member of our Engineering & Data Science team at EveryDay Labs and will work across a variety of projects, products, and services.As a team, our goal is to produce software and insights that are proactive, guiding our stakeholders—both internally and in schools—towards the right thing to do next, rather than taking a reactive view or simply describing what has already happened.Qualifications:Experience managing, manipulating, and analyzing large datasets.Proven fluency in PythonProficiency with one or more other languages commonly used in data science and engineering such as R, Scala, Java, C++, Ruby and/or one or more dialects of SQL, such as Postgres, PL/SQL, or T-SQL.Excellent statistical analysis skills, ideally including experience with randomized field experiments.Attention to detail, ability to manage simultaneous work streams, and strong communication skills.Driven by mission: you feel a deep sense of ownership for your work, and a relentless desire to deliver better results. You are passionate about solving problems.Fearless about learning: You love learning new things. You’re curious and ask good questions. You solicit feedback from others, accept it from grace, and act on it.Flexibility: You are comfortable with technical ambiguity, contributing in a variety of different and evolving ways, and enjoy considering the tradeoffs involved in different technical approaches.Bonus Points for:Understanding of how data is used in K-12 education and the challenges faced by the classroom teacher, principal, and district administrator.Experience working remotely or as part of a geographically distributed team.Knowledge of modern, cloud-based data pipeline best practices.Experience designing, implementing, and supporting modern, enterprise-scale microservice layers.Experience architecting data warehouses and data lakes that are organized, performant, and easy to use.Experience with frameworks or services we use, like Pandas, NumPy, and Docker.Familiarity with the tools we use, like AWS, Jenkins, GitHub, Jupyter, Confluence, and Slack.Experience using non-relational data stores, such as document stores, key-value stores, and graph databases.An MA or PhD.EveryDay Labs is an equal opportunity employer, and we are actively seeking to build a team and workplace that reflect the diversity of the communities we serve. We especially encourage people underrepresented in the tech industry to apply, and welcome your application even if you do not meet every one of the above requirements.EveryDay Labs does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We have offices in Oakland, CA and San Mateo, CA, and we are also remote-friendly, though candidates must be legally eligible to work in the United States.