Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The position is hybrid.
This information is not specified in the job description.
Required skills include strong SQL skills, proficiency in Python, experience with data warehousing technologies like Redshift, familiarity with data pipeline tools like DBT and Airflow, understanding of data modeling principles, experience with search technologies like ElasticSearch and Atlanta, and data visualization tools like Retool.
Plaid emphasizes collaboration with engineers, product managers, business intelligence, data analysts, and other teams, contributing to a data-first mindset and building cross-functional partnerships.
A strong candidate will have experience leading key data engineering projects, designing and implementing golden datasets with a focus on data quality and performance, and the ability to collaborate cross-functionally while contributing to data strategy.
Connects financial accounts to apps securely
Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.