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Software Engineer, Analytics Platform

 

Software Engineer, Analytics Platform

San Francisco | California | United States

You’ll design, build, support, and own Pinterest’s critical internal data tools end-to-end. Examples of these are Pinterest’s in-house ad-hoc querying IDE, A/B experiments platform, internal analytics tracking app, visual data workflow composer, Jupyter scheduler, and ML feature store manager. You’ll be part of a small and fast moving team that operates as a small startup within a startup, thus benefiting from a quick iteration speed, direct user feedback, and a high degree of product and design freedom, while having the support and engineering backing that Pinterest provides. 

What you’ll do

  • Design, build, support, and own Pinterest’s critical internal data-focused products end-to-end, which are used by the rest of the company.

What we’re looking for:

  • Experience in designing, building, and owning full-stack web applications end-to-end on a modern stack. 
    • Front-end examples: React, Vue, Elm, Cycle.js.
    • Back-end examples: Python, Node.
  • A focus on modern full-stack web app development.
  • You’ve previously used or read about the following technologies, and have opinions as to when to use them, along with their pros/cons: Redux, Flux, Immutable.js, Flow, TypeScript, WebSockets, Apollo, Relay, GraphQL, React Hooks, React Native vs full native, ASM.js, WebGL, SVG vs Canvas, SQLAlchemy, Flask vs Django, Webpack, Grunt, Gulp, Flexbox, Sass, Styled Components, etc.
  • You’re excited about directly listening to users’ feedback, and being self-driven in designing and implementing technical solutions to address their needs.

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