The Data Engineering team's primary objective for 2024-25 is to establish robust golden data sets to support the company's goal of creating more insight-driven products. Plaid emphasizes data-driven decision-making and needs to scale its data systems while ensuring data accuracy and completeness. The team provides tools and guidance to engineering, product, and business teams, enabling them to explore data efficiently and safely. Data Engineers utilize SQL and Python for building data workflows, employing tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool for orchestrating data pipelines. They collaborate with various departments to develop Plaid's data strategy and foster a data-first mindset, operating within an IC-driven engineering culture that encourages bottom-up ideation and team empowerment. The role is designed for engineers motivated by creating consumer and customer impact, team growth, shipping MVPs, and continuous improvement.