Senior Data Engineer

Replicate
Job Overview

logoYou’re a generalist data and analytics expert who thrives on developing data infrastructure at scale. You act like an owner and feel a desire to lead; you’ve likely been a data engineer at traditional companies but you’re ready to amplify your impact as the first data hire at a leading AI startup.
Replicate is building the fastest way to deploy machine learning models. We offer access to all types of open source models across modalities and levels of customization. The business is complex and we need a solid data foundation to guide decisions and hold ourselves accountable. You’ll be responsible for owning this foundation across the company.
We’re looking for the right person, not just someone who checks boxes, so you don’t need to satisfy all of these things. But you probably have some of these qualities:Think like a software engineer: You put things in GitHub, use continuous integration, give things good names, make it consistent with how we do things in the product. We want to create data systems that integrate with the rest of our systems, not their own silo with a different culture.Experience building 0→1: You’ve set up data stacks and pipelines from scratch in the past.Expert with SQL and other common analytics tools: You know your way around BI tools like Metabase and can leverage them to deliver actionable insights.Agility and efficiency: You can move fast and prioritize effectively, delivering 80/20 solutions that address core needs.Experience with usage-based businesses: You understand the nuances of analyzing usage-based businesses from the ground up.Collaboration and partnership: You can work collaboratively with Finance, Product, Infrastructure, and Growth teams to create and maintain dashboards that measure key business metrics. You’re a solid communicator and can help teams pull together a story; you go beyond reporting metrics, diving deeper to understand what’s driving the numbers.
This role is based in our San Francisco office.

Job Detail
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