Software Engineer, Data
At Parafin, our mission is to grow small businesses. Small businesses are the backbone of our economy, yet banks do not have their back. Parafin is a technology company that builds infrastructure which enables small businesses to get easy access to financial services via platforms they sell on.
Parafin's first product offers capital-as-a-service for online platforms. Parafin currently powers the capital programs of platforms ranging from Series B to post-IPO companies such as DoorDash, Amazon, and Worldpay. We are a tight-knit team of engineers and designers, coming from organizations such as Stripe, Square, Plaid, Coinbase, Robinhood, Affirm, Uber, and CERN, and are excited both about helping hundreds of thousands of small businesses grow and thrive, and building products that leaders at top companies have started to use every day.
We are backed by prominent venture capitalists such as Ribbit Capital, Thrive Capital, GIC, Index Ventures, Green Oaks Capital, and SV Angel.
About the Position:
We are looking for a software engineer to join our data platform team and help us set the foundations for the company. You will be responsible for designing, building, and maintaining our data platform, enabling data-driven decision-making across the company. You will also work with stakeholders to develop core data assets and workflows.
What You’ll Be Doing:
Design, build, and maintain scalable and reliable data pipelines, infrastructure, and services
Develop and maintain data models and data warehouses
Work with stakeholders (Data Science, Accounting, Product Eng) to understand their data needs and develop data solutions including ML models
Troubleshoot and resolve data platform issues.
Stay up-to-date on the latest data technologies and best practices.
What We’re Searching For:
2+ years of experience in data/ML development with a strong grasp of engineering fundamentals.
Experience with big data systems like Hadoop, Spark, Flink, and OLAP.
Experience with ETL, data warehouse, and data product development.
Experience with data governance and security best practices.
Experience with MLOps toolsets
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Passion for leveraging data/ML infrastructure to power product development
What We Offer
Salary Range: $160k - $190k
Medical, dental & vision insurance
Unlimited PTO & work from home flexibility
Paid parental leave
Employee assistance program
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.