SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Plaid is seeking a Senior Data Engineer to scale and maintain the company's data systems while ensuring data correctness and completeness. You will build golden datasets and tooling used across engineering, product, and business teams to enable data-driven decision-making at scale.
In this high-impact role, you will own core SQL and Python data pipelines powering Plaid's data lake and warehouse. You'll carve out ownership of internal datasets and visualizations—currently an unowned area—and establish SLAs around them. You'll work with DBT, Airflow, Redshift, Atlan, and Retool to orchestrate pipelines and define workflows that integrate with Golang applications.
Key responsibilities include understanding Plaid's product and strategy to inform dataset design, leading cross-functional data engineering projects, advocating for industry best practices, and ensuring well-documented data with defined quality and uptime standards. You'll collaborate directly with engineering, product, marketing, finance, and other teams to build Plaid's data strategy and foster a data-first mindset.
Required qualifications: 4+ years of dedicated data engineering experience solving complex pipeline issues at scale; proven experience building data models and pipelines on large datasets (500TB to petabytes); strong SQL expertise and familiarity with modern orchestration tools (DBT, Mode, Airflow); hands-on experience with performant warehouses (Redshift, Snowflake, Databricks); experience building batch and real-time pipelines using Spark and Kafka; schema design expertise; comfort managing low-level data infrastructure; and strong stakeholder communication skills.
Plaid powers millions of people's financial lives through integrations with Venmo, SoFi, Fortune 500 companies, and major banks. The company's network covers 12,000 financial institutions across the US, Canada, UK, and Europe.
