Software Engineer, Data Platform

The role

This engineer sits on Ramp's Data Platform team, building the foundational systems that turn company data into business value. The work centers on tooling for the full data science lifecycle, partnering with applied scientists, AI engineers, and risk engineers on infrastructure that speeds up model development.

What you would do

• Construct pieces of the analytics and machine learning platforms
• Create tooling that makes life easier and data more usable for scientists and ML builders
• Work alongside stakeholder teams to ship machine learning features into production
• Design systems that are dependable, scalable, simple to maintain, and economical to run

What they asked for

• Hands-on use of workflow orchestration software such as Airflow, Dagster, or Prefect
• Background constructing infrastructure on a major cloud provider
• Working fluency in SQL and modern cloud warehouses like Snowflake, Redshift, or BigQuery
• Grasp of analytics and ML concepts with sympathy for how data scientists work
• Solid proficiency writing Python

Nice to have

• Deep AWS expertise
• Prior work on real-time or online ML serving
• Experience building a feature store
• Familiarity with Terraform and Datadog
• Experience designing streaming pipelines