Data Engineer

San Francisco, CA, United States

Scoop


Role Location

  • San Francisco, CA, United States

Employees

101 - 250 people

Address

22 4 Th St Fl 9
San Francisco, CA, 94103, US

Tech Stack

  • Node.js
  • Scala
  • Apache Spark
  • AWS
  • iOS Development
  • Android
  • Python
  • Swift

Role Description

In this role, you will: - Architect, develop, and deploy infrastructure on which data moves - Operationalize machine learning—from research into fault-tolerant, production-scale deployments - Apply grit and inventiveness, both in writing new software and also deploying existing tools like Airflow, Spark - Work closely with data scientists and Scoop’s product team to understand their needs and create a platform that empowers them

About Scoop

Founded by Rob and Jon Sadow in 2015, our team mixes technology and elbow grease every day, with one statistic in our crosshairs: 80% of Americans drive alone to work, wasting valuable minutes every morning. A big problem? Sure, but we know we can crack it through our talents, partnerships, and the Scoop Community that’s already exploding.

Company Culture

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 you grow and be successful. And we’d love to tell you more about the impact you could have at Scoop.

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.