Staff Data Engineer

Prime • San Francisco, CA

10d • Hybrid

About The Position

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!
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.

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

Nice To Haves

• Experience serving Data Science & ML Engineering Teams
• Start up and fintech experience a huge plus
• DevOps knowledge

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed