About Slash

Slash is the premier banking platform for businesses with complex issuing needs. Our all-in-one virtual card and banking solution helps high-spend businesses simplify their workflows, streamline their operation and monetize their card-spend. We’re one of the fastest growing fintechs in the world and we power over a billion dollars a year in business purchasing across a number of industries. Slash is headquartered in San Francisco, and has a strong preference for in-person culture.

Our investors include NEA, Y Combinator, Stanford University, and the founders of Tinder and Plaid.

About the role

As a Data Engineer at Slash, you'll be instrumental in building and maintaining the data infrastructure that powers our fast-growing fintech platform. You'll work closely with our product, analytics, and engineering teams to ensure data reliability, accessibility, and insights that drive business decisions.

What you’ll be doing:

• Design, build, and maintain scalable data pipelines that process billions of dollars in transaction data

• Create and optimize complex SQL queries to extract meaningful business insights

• Develop ETL processes to integrate data from multiple sources including payment processors, banking partners, and internal systems

• Build and maintain our data warehouse architecture

• Collaborate with analytics team to create automated reporting systems and dashboards

• Implement data quality monitoring and alerting systems

• Design schema structures that balance analytical needs with performance

• Create documentation for data models and pipelines

• Partner with product teams to instrument new features and capture relevant metrics

We’re looking for someone who:

• Has 3+ years of experience in data engineering or similar role

• Demonstrates expert-level SQL skills with experience writing complex queries and optimizing performance

• Has strong experience with modern data stack (e.g., dbt, Airflow, Snowflake)

• Shows proficiency in Python or similar programming language

• Has experience building and maintaining data pipelines at scale

• Brings strong analytical thinking and problem-solving abilities

• Can translate business requirements into technical specifications

• Has excellent communication skills and can work effectively with non-technical stakeholders

• Demonstrates attention to detail and commitment to data quality

What's in it for You:

• Opportunity for high growth

• High autonomy + ownership culture

• Comprehensive health + benefits plan

• Working out of our downtown San Francisco office space 

• Unlimited Vacation