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Software Engineer - Data Infrastructure






San Francisco, CA, US


Plaid is lowering the barrier to entry for developers building financial applications. This entails solving the complex data problems at the core of financial services. The Data Science and Infrastructure team is charged with building systems that can handle the millions of users and billions of transactions that enter the Plaid platform. We work mostly in Python, Golang, and Typescript. We're also heavy users of S3, Redshift, Airflow, Docker, Mesos, Spark, and ElasticSearch.

What we do

    • Provide self-served business insights so anyone at Plaid can explore our data quickly and safely and get the business insights they need.
    • Build the data and ML infrastructure to enable any Plaid engineer to prototype and iterate on products and features built on top of consumer-permissioned financial data.

What excites us

    • Production experience building out data systems that make it a breeze to analyze terabytes of data
    • Experience in Spark, Hadoop, Airflow, or other data tools
    • A good understanding of core ML principles and a solid understanding of statistics and CS theory
    • Bachelor's degree or equivalent work experience in Computer Science, Engineering, or a closely related field

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