Software Engineer, Data Platform

About the Company

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

Responsibilities

• Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.
• Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers.
• Collaborate with stakeholder teams on building and productionizing machine learning applications.
• Build reliable, scalable, maintainable, and cost-efficient systems across the stack.

Requirements

• Experience with workflow orchestrators like Airflow, Dagster, or Prefect.
• Experience building infrastructure on AWS, GCP, or Azure.
• Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.
• Intuition around analytics and machine learning, and empathy for data science workflows.
• Strong Python programming skills.

Preferred Qualifications

• Expertise with AWS.
• Previous experience building online machine learning systems.
• Previous experience building a feature store.
• Experience with Terraform and Datadog.
• Experience building streaming systems.

Benefits

• Flexible PTO
• Centralized home-office equipment ordering
• Health and wellness stipend
• Budget for intra-office travel
• Weekly coffee stipend
• Comprehensive medical, dental, and vision insurance