= [Hiring] Data Engineer - Scoop · San Francisco, CA =

**About Scoop**
Scoop brings co-workers and neighbors together to enjoy a smooth carpooling experience—unlocking new opportunities to create friendships, improve their well-being, and make the most of their valuable time

Learn more in Crunchbase: httpsnews.crunchbase.com/news/scoop-raises-60m-for-corporate-carpooling-as-gridlock-ruins-america/
**Engineering @ Scoop**
Few companies get to face such diverse technical challenges as Scoop, and we’ve built a team of people excited to face these challenges together while investing in each others’ growth

Scoop’s engineering team may move bits and pixels, but we also put real, live human beings in cars together. We’re touching problems academics have written about for years, and have data that no other company has ever collected

But Scoop knows engineering is not a lone discipline. We’re a small team with varied backgrounds: big companies, VC-backed startups, bootcamps, academia. We like to build together, and we like to learn together. Our entire team and process are built around helping youand be successful. And we’d love to tell you more about the impact you could have at Scoop

**In this role, you will
Architect, develop, and deploy infrastructure for large scale ETL pipelines with data processing frameworks
Productionizing machine learning - from research into fault-tolerant, production-scale deployments
Manage data workflows
Work closely with the Data Science, Analytics, Product and Platform teams to understand business needs and create a data platform that serves business needs
Tech Lead projects and mentor team members
**You should
4+ years or equivalent experience
Be proficient in Python and/or Scala (Scala preferred)
Experience designing and operating distributed systems
Emphasis in high code quality, high code clarity, automated testing, and engineering best practices
Be able to clearly communicate complex technical concepts
**Learn more about this role and apply here**
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