Senior Data Engineer
San Francisco, CA
Location/City : CA - San Francisco
Area Code : 415
Job Type : 1: Full Time
Id : 23374
23374 Senior Data Engineer
San Francisco, CA
Our client s mission is to help students (and their teachers) practice and master whatever they are learning. Every month more than 50 million active learners from 130 countries practice and master more than 300 million study sets on every conceivable topic and subject. They are developing new learning experiences by modeling how students learn and by drawing upon knowledge acquisition, retention, and pedagogy in cognitive science. They are always seeking to help students master any subject by optimizing study efficiency and engagement.
Their business model is robust with two strong revenue streams advertisements and paid subscriptions. The ads business allows them to offer amazing study tools to millions of students around the globe for free. Their premium subscriptions give students and teachers to ability to create custom content and access learning analytics tools.
Our client values diversity, humility, transparency, and collaboration as the best paths to success as individuals, as a team, and as a company. Their success as an online learning community depends on a strong commitment to diversity, equity and inclusion. We are actively working with them to build a team that is representative of the diverse communities they serve, creating an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, our client welcomes applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply.
We're looking for a data engineer to help improve product and make strategic decisions using one of the largest education datasets in the world. As one of the top 20 most visited websites in the US, our client has incredibly rich and high-velocity data that allow them to continuously experiment and improve user experience, affecting millions of students worldwide. In this role, you will help improve analytics-facing data and ETL infrastructure and work with analysts and data scientists in order to unlock the potential of data. This role is critical to everything that our client does; experimentation and data-driven decision making is at the core of their philosophy, and you will play a central role in shaping strategic capabilities.
Take ownership of our analytics-facing data pipelines; lead architectural decisions.
Interface with analysts and stakeholders to understand their data needs.
Understand logging systems and work with application engineers to ensure logging is reliable.
Lead data quality efforts to support analytics as a strategic assets.
Build out abstractions and tooling to ensure that pipelines are robust and maintainable.
Strong programming fundamentals; proficiency in a scripting language.
Strong proficiency in SQL.
An affinity for data modeling and rigorous, well-tested data transformation pipelines.
Excellent communication skills, and the ability to empathize with others.
A genuine interest in improving education.
Experience with PHP, JVM.
Experience designing elegant APIs for data processing.
Experience with Google Cloud Platform.