Ramp, a rapidly growing financial operations platform, is seeking a Software Engineer for their Data Platform team. This role sits at the intersection of data infrastructure and machine learning, where you'll be instrumental in building systems that power Ramp's reporting and strategic decision-making capabilities.
The position offers an exciting opportunity to work with cutting-edge technologies in the fintech space, including Airflow, Snowflake, ClickHouse, and Kafka. You'll be responsible for developing and maintaining the infrastructure that enables Ramp to extract value from data, while ensuring these systems are observable, reliable, scalable, and highly automated.
As a member of the Data Platform team, you'll collaborate with analytics engineers, applied scientists, and other data professionals to build both internal and external-facing data infrastructure and products. The role requires strong technical expertise in Python, SQL, and cloud infrastructure, combined with an understanding of analytics and machine learning concepts.
Ramp is a well-funded startup backed by prestigious investors like Sequoia, Founders Fund, and Goldman Sachs. The company has achieved significant milestones, including powering over $35 billion in purchases annually and helping more than 25,000 companies save $1B and 10M hours. The team comprises talented individuals from leading financial services and technology companies, creating an environment rich with expertise and opportunities for professional growth.
The compensation package is competitive, ranging from $161.5K to $204.3K, plus equity. Ramp offers comprehensive benefits including full medical coverage, 401k with employer match, flexible PTO, and various stipends for wellness and home office needs. The position is based in New York City, with relocation support available.
This role is perfect for someone who is passionate about building robust data systems and wants to make a significant impact in a fast-growing fintech company that's revolutionizing financial operations for businesses.