Senior Data Engineer - Data Engineering
Plaid is a financial technology company providing APIs and network connectivity for businesses to build financial products. Its platform supports bank-account linking, financial data access, identity verification, fraud and risk tools, credit underwriting, and bank payments.
Maintainer signals as of 8/12/2026
Funding history
Projects
About Plaid
Plaid operates a financial data network and API platform that lets businesses connect to financial institutions and build financial experiences. Its products support account and identity verification, real-time balance and transaction data, investment and liability data, income and underwriting workflows, fraud and AML risk checks, and multi-rail bank payments. It serves developers, businesses, financial institutions, platforms, lenders, banks, and consumer-facing financial-product providers.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design golden datasets and data usage principles, lead data engineering projects, own SQL and Python pipelines for the data lake and warehouse, improve data quality and performance, adopt industry tools, and define dataset quality, uptime, and usefulness.
Requirements
- 4+ years of dedicated data engineering experience
- Experience building data models and pipelines on large datasets
- SQL
- DBT
- Mode
- Airflow
- Redshift
- Snowflake
- Databricks
- Spark
- Kafka
- Schema design
- Data privacy
- Data integrity
Responsibilities
- Understand product and strategy to inform dataset choices and data usage principles
- Design datasets with data quality and performance in mind
- Lead data engineering projects
- Advocate for industry tools and practices
- Own SQL and Python data pipelines
- Document data and define dataset quality, uptime, and usefulness
Benefits
- Equity