Data Engineer - Data Engineering

Job Summary: Plaid is dedicated to empowering the transformation of financial interactions by building tools for developers. The Data Engineer role focuses on creating robust datasets to support data-driven decisions and collaborate across teams to enhance Plaids data strategy. Responsibilities: • Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. • Have data quality and performance top of mind while designing datasets • Advocating for adopting industry tools and practices at the right time • Owning core SQL and Python data pipelines that power our data lake and data warehouse • Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications: Required: • 2+ years of dedicated data engineering experience, solving complex data pipeline issues at scale. • You have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) • You value SQL as a flexible and extensible tool and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. Preferred: • You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks • You have experience building and maintaining batch and real-time pipelines using technologies like Spark, Kafka Company: Plaid develops financial technology infrastructure that enables applications to connect with users bank accounts and financial data. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Created: 2026-03-09