- San Francisco
Plaid is lowering the barrier to entry for developers building financial applications. A big part of this entails solving the complex data problems at the core of financial services. The data engineering team is charged with building infrastructure that can handle the millions of users and billions of transactions that touch the Plaid platform. Our job is to better understand behavioral patterns, evaluate risk, and enable developers to move money and data quickly and safely. We work mostly in Scala and Python—but we also push production code in Go and Node.js. We're heavy users of Mesos, Docker, and Spark.
What excites us - Production experience building out data systems that make it a breeze to analyze terabytes of data - Experience in Scala, Hadoop, or other data frameworks - A good understanding of core ML principles and a solid understanding of statistics and CS theory
Plaid is focused on democratizing financial services through technology. We build beautiful consumer experiences, developer-friendly infrastructure, and intelligent tools that give everyone the ability to create amazing products that solve big problems.
Thousands of companies such as Robinhood, Acorns, Stripe, and Venmo, and a growing number of Fortune 50 companies, choose Plaid to deliver a best-in-class user experience so that they can create the next generation of applications. But we’re just getting started...
We value cross-team collaboration and diversity of thought. There's always an opportunity to learn from each other outside of day-to-day work, whether it's company-wide off sites, internal hackathons, or co-worker meetups.
In Engineering, we value humility, high-ownership, a focus on impact, transparency, and being shipping obsessed.
We have diverse backgrounds and skills, but we're all passionate about building a more efficient and inclusive financial infrastructure—together.
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