Data Platform Engineer, Ramp

• 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

Desirable

• The Data Platform builds infrastructure and tools that enable Ramp to realize business value from data
• We partner closely with stakeholder teams to build this infrastructure and the applications on top of it
• This role is particularly focused on building platforms that support the data science development lifecycle
• You’ll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models
• 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