Senior Software Engineer - Data Infrastructure

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.

Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.

We build the data and machine learning infrastructure to enable Plaid engineers to prototype and iterate on products and features built on top of consumer-permissioned financial data.

Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid.

• Contribute towards the long‑term technical roadmap for data‑driven and machine‑learning iteration at Plaid
• Lead key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities
• Work with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid
• Debug, troubleshoot, and reduce operational burden for the Data Platform
• Grow the team via mentorship and leadership, review technical documents and code changes

• 5+ years of software engineering experience
• Extensive hands‑on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies
• Deep understanding of one of: ML Infrastructure systems (including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring) OR Data Infrastructure systems (including Data Warehouses, Data Lake houses, Apache Spark, Streaming Infrastructure, Workflow Orchestration)
• Strong cross‑functional collaboration, communication, and project management skills, with proven ability to coordinate effectively
• Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions
• Demonstrated leadership abilities, including experience mentoring and guiding junior engineers
• [Nice to have] Experience with Databricks, Airflow, AWS EMR

$180,000 – $270,000 a year

The target base salary for this position ranges from $180,000/year to $270,000/year in Zone 1. The target base salary will vary based on the job's location.

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope…