Analytics Platform Engineer

Cursor

Analytics Platform Engineer at Cursor improving data infrastructure and ingestion systems. Collaborate with multiple teams on scalable platform solutions at the intersection of AI and data.

Posted 5/29/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Own, operate, and improve Cursor’s Databricks and lakehouse infrastructure.
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.
Partner with technical and non-technical partners to understand recurring data problems and turn them into scalable platform solutions.

Requirements

What you’ll need

4+ years of full-time data platform engineering experience.
built modern data stacks at a low level, not just written jobs on top of it.
scaled performant ingestion of billions of data per day.
go-to person for data pipeline orchestration infrastructure used by large user bases; Dagster experience is a strong plus.
build foundational systems for data-savvy users pushing them to their limits.

Benefits

Comp & perks

health insurance
retirement plans
paid time off
flexible work arrangements
professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data platform engineeringdata pipeline orchestrationdata ingestion systemsDatabrickslakehouse infrastructurescalable platform solutionsperformance optimizationdata tooling evaluationDagster

Soft Skills

collaborationproblem-solvingstakeholder engagementcommunication