Ramp is building the world's first finance automation platform designed to save businesses time and money. Ramp offers 5-in-1 software that consolidates corporate cards, expense management, bill payments, accounting, and reporting into one simple and free solution. More than 3,000 businesses are using Ramp to process billions in annualized transaction volume. Customers include some of the fastest growing startups and unicorns like Ro, DoNotPay, ClickUp, and Applied Intuition, as well as established businesses across the US such as Bristol Hospice, Walther Farms, Douglas Elliman, and Planned Parenthood.

Founded in 2019, Ramp is NYC's fastest growing startup, having achieved a unicorn valuation of $3.9 billion in just over 2 years. Ramp has raised $620 million in funding from investors including Founders Fund, Stripe, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. Ramp is part of the Forbes Fintech 50 and Fast Company's Best Workplaces for Innovators program.

About the Role

Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the world! The Data Platform team develops and owns the systems that enable Ramp's reporting, decision-making, and automation around data. Our team is looking for an engineer that will help lay the groundwork for Ramp to scale 10x and beyond. As an early employee, you'll have the opportunity to build new systems that will be critical to Ramp's sustained growth. You'll partner with Ramp's Data Science and Analytics teams, Operations teams, and other engineering teams to build data infrastructure that meets the needs of the firm.

Our ideal candidate is excited about building systems for data collection, storage, and retrieval, and is also passionate about making these systems observable, reliable, scalable, and highly-automated.

What You’ll Do

• Build and integrate the components of Ramp's Data Platform
• Build tools that improve the agility and data experience of Ramp's Data Scientists, Analytics Engineers, and Operations teams
• Build the batch and streaming data pipelines critical to Ramp’s daily operations using Airflow, Spark, Kafka, and other data processing technologies
• Build reliable, scalable, maintainable, and cost-efficient systems across the stack

What You Need

• Minimum 1 year of experience with workflow orchestrators like Airflow, Dagster, or Prefect
• Minimum 1 year of experience building infrastructure on AWS, GCP, or Azure
• Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases
• Strong Python programming skills
• Track record of building highly-reliable infrastructure for data storage and processing

Nice to Haves

• Deep expertise with AWS
• Experience with Terraform and Datadog
• Experience building streaming pipelines based on Kafka or Kinesis

Ramp Benefits (for U.S. based employees)

• 100% medical, dental & vision insurance coverage for you
  • Partially covered for your dependents
  • OneMedical annual membership
• 401k (including employer match)
• Unlimited PTO
• Annual education reimbursement
• WFH stipend to support your home office needs
• Monthly wellness stipend; Headspace annual membership
• Parental Leave
• Relocation support