What is a Data Engineer at Plaid?
At Plaid, the Data Engineer role is central to building and scaling the financial infrastructure that connects thousands of applications to users' bank accounts. Making data-driven decisions is deeply embedded in the company's culture. To support this, the Data Engineering team is tasked with scaling data systems to handle hundreds of terabytes to petabytes of data while maintaining absolute correctness, high availability, and strict completeness.
As a Data Engineer, you will focus on building robust, high-performance "golden datasets." These foundational datasets directly power business-critical goals, enabling product, engineering, finance, and marketing teams to build insights-based products. You will have the unique opportunity to carve out the ownership and service-level agreements (SLAs) of internal datasets and visualizations, turning unowned data areas into highly reliable, structured resources.
Our engineering culture is heavily individual contributor-driven, favoring bottom-up ideation and empowering engineers to take full ownership of their work. You will collaborate cross-functionally across the entire organization, using modern data orchestration tools to deliver maximum business impact. If you are motivated by solving complex pipeline issues at scale, shipping minimum viable products (MVPs), and leaving things better than you found them, this role offers an exceptionally high-impact environment.




