About Prime
Prime Financial Technologies is a software company with a mission to accelerate small businesses. At Prime, we harness advanced data science in credit decisioning to simplify and accelerate credit distribution to small and medium-sized businesses. Operating at the cutting edge of Embedded Finance and Ecosystem Lending, Prime’s focus is on embedded lending, where sophisticated data analytics are utilized to sharpen the accuracy of pre-qualification and underwriting processes and also deliver financial solutions that are customized to the needs of businesses. Prime’s integrations are designed specifically for marketplace and SaaS platforms, ensuring a seamless transaction experience for merchants and new diversified revenue streams for platforms. Our investors include Capital One and NEA.
Most join us because they connect with our mission of democratizing access to credit for small businesses. If you are energized by the impact you can make at Prime, we’d love to hear from you!
Position Location
This role is available in the following locations: Los Angeles, CA, NYC metro area, or Bay Area, CA.
Time Zone Requirements
The team operates in either East/West Coast time zones.
Travel Requirements
This team has regular onsite collaboration sessions. These occur several times per year and span consecutive days in the Bay Area, CA, Los Angeles, CA, or NYC office. If you need to travel to make these meetups, Prime will cover all travel related expenses.
How You’ll Make an Impact
You will be instrumental in building out Prime’s data mesh. As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on. You will work directly with Product, Engineering, Data Science, ML, and Credit functions to understand stakeholder use cases and develop reliable, trusted data infrastructure for internal stakeholders.
By joining our company at this stage, you’ll be taking on a meaningful role on an engineering team of just under 10 individuals with an average of 15 years of experience on which to draw from and learn from. You will have an immense impact on the company’s architecture and technical roadmap, not to mention the impact on financial outcomes of small business borrowers through their shared journey with Prime.
What You’ll Do
Design large scale, distributed data processing systems and pipelines
Ensure the reliability and integrity of data at Prime
Collaborate with other engineering, data science, and cross functional partners in service of our customers
Influence and develop our architecture and technical roadmap
Write high quality, maintainable and scalable code
Identify and troubleshoot issues
Maintain the quality bar for engineering excellence at Prime
Stay up to date with emerging technologies, best practices, and industry trends in data engineering and software development
Commit to integrating our core values of Win the Day, Get out of the Building, Embrace the Unknown, and Excellence as a Habit in all aspects of your daily responsibilities and professional interactions
Technologies we use
Languages: Python, Javascript
Infrastructure: AWS, Terraform, Elastic Container Service, Elastic Load Balancer, API Gateway, SQS, SNS, Step Functions
Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog
Distributed Compute: Spark/Databricks
Frameworks: Flask, React, Tailwind, REST
Tooling: Github, Sentry, Grafana
Multiple 3rd party financial system integrations
What We’re Looking For
Minimum Requirements
8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines
4+ years as a data engineer building data products
Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc)
Passion for everything data: data models, catalogs, analytics, pipelines, and solving complex data problems
Experience with the complete development cycle, from product definition to delivery
Excellent communication skills
Growth mindset
Bias to action
Evidence of constant learning
The motivation and ability to work well in a high-growth and dynamic environment
Preferred qualifications
Experience serving Data Science & ML Engineering Teams
Start up and fintech experience a huge plus
DevOps knowledge
What You’ll Love
Competitive salary and equity grants
Top tier medical, dental vision insurance
Life insurance and disability benefits
Personal development, technology, and ergonomic Budgets
401K matching
Unlimited PTO, work from home flexibility, and parental leave
Transparent company culture and proactive communication via weekly all hands, lunch & learns, and monthly founder AMAs
Senior team of experienced professionals highly motivated to solve tough problems and ship remarkable products
Join our growing team as we build out the next generation of lending infrastructure for small businesses.
