Parafin partners with platforms to deliver seamless, flexible access to financing, giving small businesses the capital they need to grow with confidence. Backed by Redpoint.
About the role
Build and maintain scalable data pipelines that power analytics data models and trusted datasets. Write efficient SQL to transform, validate, and optimize data for analytics and reporting.
What they're looking for
- Knowledge of data modeling and analytics engineering best practices
- Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms
- Experience with Git and version control
- Familiarity with Airflow, Dagster, or other workflow orchestration tools
- Experience working with financial services, lending, payments, or product analytics data
- Experience in a startup or other fast-paced, high-growth environment
More about this role
At Parafin, we’re on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
We are looking for a Data Analytics...
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