Staff Software Engineer - Data Infrastructure

Responsibilities

• Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid
• Leading 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
• Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid
• Debugging, troubleshooting, and reducing operational burden for our Data Platform
• Growing the team via mentorship and leadership, reviewing technical documents and code changes

Qualifications

• 6+ 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 the below: Data Infrastructure systems, including Data Warehouses, Data Lakehouses, 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
• Experience with Airflow
• Experience with AWS EMR
• Experience with Python

Benefits

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.

Pay

Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Compensation Range

$207.6K - $273.6K