Senior Data Engineer - Data Engineering

Stack

Responsibilities

• ▹Understand different aspects of the Plaid product and strategy to inform golden dataset design and usage
• ▹Keep data quality and performance top of mind while designing datasets
• ▹Lead key data engineering projects that drive collaboration across the company
• ▹Advocate for adopting industry tools and practices at the right time
• ▹Own core SQL and Python data pipelines that power the data lake and warehouse
• ▹Deliver well-documented data with defined quality, uptime, and usefulness metrics

Requirements

• ▹4+ years of dedicated data engineering experience solving complex data pipeline issues at scale
• ▹Experience building data models and pipelines on top of large datasets (500TB to petabytes)
• ▹Values SQL as a flexible, extensible tool; comfortable with modern SQL orchestration tools (DBT, Mode, Airflow)
• ▹Experience working with performant warehouses and data lakes (Redshift, Snowflake, Databricks)
• ▹Experience building and maintaining batch and real-time pipelines using technologies like Spark and Kafka
• ▹Appreciation for schema design and evolving analytics schemas on top of unstructured data
• ▹Excited to try new technologies, empathetic collaboration with stakeholders

Soft skills

What we offer

• ▹Comprehensive benefits package including medical, dental, and vision insurance, plus a 401(k) plan
• ▹Additional compensation in the form of equity and/or commission depending on the role

About the company

Plaid believes the way people interact with their finances will drastically improve in the coming years. It builds the tools and experiences used by thousands of developers to create their own products, with a network covering 12,000 financial institutions across the US, Canada, UK, and Europe. Founded in 2013, Plaid is headquartered in San Francisco with offices in New York, Washington D.C., London, and Amsterdam.