Netflix is the leading online video subscription service, reaching millions of US and international households. Netflix became well known as a data driven company for our personalized recommendations and our use of data doesn't stop there. From testing new features for the site to measuring performance across many devices to making wise choices about content, we use our petabytes of data to deliver greater experiences for our viewers. To do that we have built a big data platform that, along with the rest of our infrastructure, lives in the cloud and will continue to grow with us as we expand.
This platform is used by engineers, analysts and data scientists to leverage our data to do interesting and impactful analysis and allow Netflix to continue to innovate. The Data Experience team is working to make it as easy and efficient as possible to work with all of this data. We’re building a cohesive experience to make information more accessible, insightful and actionable by improving discovery, surfacing context and enabling self-service.
Our team contributes to Jupyter
, Apache Toree, Apache Spark, and other open source projects in use at Netflix. We strike a balance between delivering quickly for Netflixers and providing long term value in open source. As part of the team you will evolve these tools in a dynamic environment, incorporating feedback from data scientists, statisticians, and engineers at Netflix.
We need you to bring strong development expertise and an appreciation for delivering delightful designs to help us build meaningful solutions. You will need an excellent ability to communicate across our team and the organization. Your experience can come from a variety of places including work experience, formal or informal education. You will have ample opportunities to grow professionally, to contribute both inside and outside of Netflix, and to enable Netflix to bring moments of joy around the world.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.