Data Engineer, Analytics

Discord · San Francisco Bay Area

Experience: 2+ years of experience

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. Discord is looking for an experienced and passionate Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well-documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and self-serve from. You'll define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. If this sounds exciting to you and you’re passionate about data modeling, metric design, and empowering teams to move faster with reliable data, read on! We're hiring for multiple verticals on our Data Engineering team, including Growth and Safety. What you will be doing : Design, build, and maintain curated analytical datasets and data models that serve as the canonical sources for metrics, dashboards, and analyses. Partner closely with data science, product managers, and engineering teams to translate business questions into well-modeled, performant, and discoverable data assets. Execute metric workflows, from metric definition and logging schema design to data modeling and visualization, with guidance from manager and senior team members. Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions. What you should have 2+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets 2+ years of experience in d

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