Discord
Gaming
SeniorDataEngineer,Analytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer, Analytics at Discord. Skills: Data modeling, Metric design, BI tools, SQL. Design, build, and maintain curated analytical datasets. Own metric definitions end to end”
What You'll Achieve.
Clean, tested, well-documented tables; Dashboards data scientists can trust; Dashboards product managers can trust; Dashboards business stakeholders can trust; Empowering teams to move faster; Reliable data
Industry & Context.
Translate business questions into data models
What They're Looking For.
Must Have
4+ years of experience in analytics or data engineering, 4+ years of experience in designing, developing, and maintaining robust data models, 4+ years of experience writing accurate and effective code in SQL, Experience with designing data model to power a variety of use cases, Fluency in Python or another programming language, Solid fundamentals in version control and CI/CD practices, Experience building and owning executive-level dashboards and reports using BI tools, Business acumen, Excellent communication
Nice to Have
Passion for Discord or online communities, Experience building or contributing to a semantic layer or metrics store, Experience with modern analytics and data engineering tools and workflows, Experience defining and governing metric standards across a data organization, Experience working on analytics for core features, Experience working on analytics for performance and reliability
What You'll Do.
and maintain curated analytical datasets
Own metric definitions end to end
Implement metrics in production
Build and maintain executive-level dashboards
Build self-serve reporting tools
Establish and enforce data quality standards
Drive adoption of consistent data modeling patterns
How You'll Work.
Team & Collaboration
Partnering with data science; Partnering with product team; Partner closely with data science; Partner closely with product manager; Partner closely with engineering teams; Connective tissue between technical and business teams
Communication Scope
Excellent communication; Connective tissue between technical and business teams
Full Job Description
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 Senior 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 Engagement, Performance, and Safety/GRC. What you will be doing: Design, build, and maintain curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses Own metric definitions end to end, from partnering with data science and product team to define what we should measure, to implementing it in production, to surfacing it in visualization tools Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions Partner closely with data science, product manager, and engineering teams to translate business questions into well modeled, performant, and discoverable data assets Establish and enforce data quality standards through testing frameworks, documentation, and monitoring for the datasets
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