Software Engineer, Ramp

• Our ideal candidate is excited about building systems for data collection, processing, storage, and retrieval, and is also passionate about making these systems observable, reliable, scalable, and highly automated
• 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
• Strong Python programming skills
• Track record of building highly reliable infrastructure for data storage and processing

Desirable

• The Data Platform team develops and owns the systems that enable Ramp's reporting and strategic decision-making, as well as integrating machine learning models into our operational systems and the product itself
• As a member of the Data Platform team, you’ll build and maintain the infrastructure that enables Ramp to realize value from data
• You’ll also partner with Ramp’s analytics engineers, applied scientists, software engineers, and other data professionals to build internally and externally-facing data infrastructure & products
• 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 Data Scientists, Analytics Engineers, Engineers, and Operations teams
• Build the batch and streaming data pipelines critical to Ramp’s daily operations using Airflow, Snowflake, ClickHouse, Kafka, and other data processing technologies
• Collaborate with stakeholder teams on building and productionizing analytical products and machine learning systems
• Build reliable, scalable, maintainable, and cost-efficient systems across the stack