About the job
About Us:
At Parafin, our mission is to empower small businesses, the backbone of our economy. Traditional banks often overlook their needs, but we provide technology that simplifies access to essential financial tools directly through the platforms they already use for sales. We collaborate with industry leaders such as DoorDash, Amazon, Worldpay, and Mindbody to deliver fast and flexible funding, spend management, and savings tools seamlessly integrated into their services. By handling the complexities of capital markets, underwriting, servicing, compliance, and customer support for our partners, we enable small businesses to thrive.
Our team is composed of innovators from top companies including Stripe, Square, Plaid, Coinbase, and Robinhood. Together, we share a passion for developing tools that drive success for small businesses. Backed by notable venture capitalists like GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin is a Series C company that has successfully raised over $194 million in equity and $340 million in debt facilities.
Join us in creating a future where every small business has access to the financial resources they need to succeed.
About the Position:
We are seeking an experienced software engineer to join Parafin’s Infrastructure team and take the lead in developing our next-generation Data Platform. This pivotal role ensures that our data infrastructure remains reliable, scalable, and user-friendly, as we continue enhancing financial services for small businesses.
As a Senior Software Engineer, your responsibilities will include designing, building, and maintaining systems for data ingestion, transformation, and delivery across the organization. You will closely collaborate with Data Science, Platform Engineering, and Product Engineering teams to facilitate data-driven product development and informed decision-making.
What You’ll Do:
Design and construct robust, highly scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow on AWS.
Enhance the data platform development experience for Engineering, Data Science, and Product teams by creating intuitive abstractions, self-service tools, and comprehensive documentation.
Manage and uphold core data pipelines and models that support internal dashboards, machine learning models, and customer-facing products.
Oversee the Data & ML platform infrastructure via Terraform, including full administration of Databricks workspaces: manage user access, monitor performance, optimize configurations (e.g., clusters, lakehouse settings), and ensure high reliability.
