At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day! Magnite conducts 400+ billion ad request auctions daily carrying $450+ million of revenue annually. To stand out among competitors, Magnite strategically focuses on being the most efficient, highest scale independent exchange. The Core Data Engineering team sits within the data engineering group and maintains technical involvement across the applications and infrastructure that make up Magnite's data pipelines. Our pipelines collectively handle 400+ billion events per day and generate terabytes of data per hour across both cloud-based and on-prem infrastructure. This data underpins the various business lines - including client reporting, internal data science, account managers, and product + business teams - and as such we need to build systems that remain scalable and efficient at this volume of data while also ensuring data consistency and reliability. We value communication, discussion, and sharing of ideas to come to the best technical solutions to our large-scale data challenges. We are looking for people who want to get things done and value open collaboration (including constructive feedback when brainstorming). The team's mandate is technical development across the three platform-specific data engineering teams in the group. As such they get exposure to all aspects of our data engineering infrastructure and applications including Spark jobs, Java-based real-time event processing, and large-scale data warehousing.