At Plaid, we envision a future where financial interactions are seamless and transformative. Our mission is to empower developers by providing them with the tools and experiences needed to innovate in the financial space. Plaid enables millions to lead healthier financial lives by connecting their financial accounts to the apps and services they trust. Partnering with a diverse range of organizations, including Venmo, SoFi, Fortune 500 companies, and major banks, we facilitate connections across a network of over 12,000 financial institutions in the US, Canada, UK, and Europe. Founded in 2013 and headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam.
As we look to 2024-25, our Data Engineering team is committed to developing robust, insightful data sets to drive our business objectives. Data-driven decision-making is at the heart of Plaid's culture. To achieve this, we aim to scale our data systems while ensuring data accuracy and completeness. Our team provides essential tools and guidance to various departments, enabling quick and secure data exploration for valuable insights that enhance customer service. Proficient in SQL and Python, our Data Engineers create data workflows using tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines. Collaborating with engineers, product managers, business intelligence professionals, data analysts, and other teams, we cultivate a data-first mindset at Plaid. Our engineering culture prioritizes individual contributions, fostering a bottom-up approach to ideation and empowering our talented team. We seek engineers motivated to make a tangible impact for consumers and customers, grow collaboratively, deliver Minimum Viable Products (MVPs), and continuously improve our processes.