About the job
Join Our Team at Prime
At Prime Financial Technologies, we are dedicated to empowering small businesses through innovative financial solutions. Our mission revolves around leveraging advanced data science to streamline credit decision-making, making it easier and faster for small and medium-sized enterprises to access vital funding. As pioneers in Embedded Finance and Ecosystem Lending, we focus on enhancing embedded lending through sophisticated data analytics, which refine the accuracy of pre-qualification and underwriting processes. Our custom financial solutions are tailored to meet the diverse needs of businesses, ensuring a seamless transaction experience for merchants and creating new revenue opportunities for our marketplace and SaaS partners. Our notable investors include Capital One and NEA.
We are seeking individuals who resonate with our mission of democratizing credit access for small businesses. If you are passionate about making a meaningful impact, we would be thrilled to connect with you!
Position Location
This opportunity is based in the Bay Area, CA.
Time Zone Requirements
Our team operates within the East/West Coast time zones.
Travel Requirements
This position entails regular onsite collaboration sessions, occurring several times a year over consecutive days in the Bay Area, CA.
Your Impact
As a Staff Data Engineer at Prime, you will play a crucial role in the development of our data mesh. You'll address challenges related to data modeling, integrity, availability, and analytics, while also enhancing our machine learning infrastructure. Collaborating directly with Product, Engineering, Data Science, ML, and Credit teams, you will help establish a reliable data infrastructure that meets the needs of our internal stakeholders.
Joining us at this pivotal stage means being a key player on our engineering team, consisting of nearly 10 seasoned professionals averaging 15 years of experience. Your contributions will significantly influence our architectural design and technical roadmap, as well as the financial well-being of small business borrowers who partner with Prime.
Responsibilities
- Design and implement large-scale, distributed data processing systems and pipelines.
- Ensure data reliability and integrity across systems.
- Collaborate with cross-functional teams to define data requirements and optimize data usage.
