Data Platform Engineer

Cursor is on a mission to automate coding and is seeking a Data Platform Engineer to help build the best tools for professional programmers. In this role, you'll own the systems that ensure reliable, secure, and efficient data operations, partnering with various teams to create scalable infrastructure for data management.

Responsibilities:

• Own, operate, and improve Cursor’s Databricks and lakehouse infrastructure as the data team size and data volume scales
• Build and optimize ingestion systems for first-party product data and 3rd-party business systems
• Ensure observability, alerting, and operational standards across all data infrastructure layers
• Evaluate and roll out data tooling where it solves real stakeholder needs, including BI platforms, catalogs, ingestion tools, and reverse ETL systems
• Partner with technical and non-technical partners to understand recurring data problems and turn them into scalable platform solutions

Requirements:

• You have 4+ years of full-time data platform engineering experience
• You have built up modern data stacks at a low level, not just written jobs on top of it
• You have scaled performant ingestion of billions of data per day
• You're the go-to person for data pipeline orchestration infrastructure used by large user bases; Dagster experience is a strong plus
• You want to build foundational systems at a company where data-savvy users will immediately push them to their limits