$80K — $100K *
At Plaid, we believe that the way consumers and businesses interact with their finances will drastically improve in the next few years. Our goal is to build the tools and infrastructure for developers to create this next generation of financial services applications. Today, hundreds of companies such as Venmo, Square, and Coinbase rely on Plaid to integrate with banks and the financial system.
Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.
In addition, Plaid will not be successful if we can't move quickly. We build the data and machine learning infrastructure to enable Plaid engineers to prototype and iterate on products and features built on top of consumer-permissioned financial data.
Engineers on the Data Infrastructure team work on one of the 3 work streams within the team (analytics infra, production data infra, ML platform) to scale our existing data pipelines and build the various pieces of ML platform from the ground up.
We work in Python, Golang, and Typescript. Our systems are built on top of Docker, Kubenetes, Mesos, Spark, S3, Redshift, Airflow, and ElasticSearch.
Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them.
Valid through: 3/16/2021