Senior Data Engineer - Data Engineering
Plaid is a financial data network and fintech infrastructure company that helps people securely connect financial accounts to digital financial services.
Maintainer signals as of 9/2/2026
Funding history
Projects
About Plaid Inc.
Plaid provides developer infrastructure and financial tools for account connectivity, financial data access, bank payments, identity verification, AML monitoring, credit and underwriting, and fraud prevention. Its network supports thousands of fintech companies and more than 12,000 financial institutions across the United States, Canada, the United Kingdom, and Europe.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
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