Senior Data Engineer

The role

You will build data workflows and pipelines to support data-driven decisions across the company. You will own core SQL and python data pipelines that power the data lake and data warehouse.

What you will do

• Understand Plaid product and strategy to inform golden dataset choices and design.
• Design datasets with data quality and performance in mind.
• Lead key data engineering projects that drive collaboration across the company.
• Advocate for adopting industry tools and practices.
• Own core SQL and python data pipelines that power the data lake and data warehouse.
• Maintain well-documented data with defined quality, uptime, and usefulness.

Required qualifications

• 4+ years of dedicated data engineering experience solving complex data pipelines issues at scale.
• Experience building data models and data pipelines on top of large datasets (500TB to petabytes).
• Comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow.
• Experience working with performant warehouses and data lakes such as Snowflake and Databricks.
• Experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka.
• Ability to evolve an analytics schema on top of unstructured data.
• Interest in producing proof-of-concepts that balance technical advancement and user experience.
• Interest in managing, deploying, and improving low level data infrastructure.
• Empathetic when working with stakeholders.
• Champion for data privacy and integrity.

Benefits

• Medical
• Dental
• Vision
• 401(k)

About the company

Plaid builds tools and experiences that thousands of developers use to connect financial accounts to apps and services. The company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.