ML Data Systems Engineer: Scale, Reliability & Pipelines

cursor; New York, San Francisco (NY, CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Cursor is seeking a qualified Data Infrastructure Engineer based in New York. This role involves designing, maintaining, and optimizing data systems with a focus on correctness and performance. The ideal candidate will have deep expertise in Spark, production experience with Ray Data, and hands-on ownership of large data pipelines.

Responsibilities include ensuring data quality and performance, implementing data retention strategies, and maintaining system reliability. Candidates with experience in ClickHouse and dbt will be preferred. Flexible work arrangements are available.

Qualifications

• Deep experience with building real systems at scale.
• Hands-on ownership of large data pipelines and storage systems.
• Clear thinking about data modeling and long-term maintainability.

Responsibilities

• Own the design and maintenance of data systems and infrastructure.
• Ensure correctness and performance in data workflow.
• Implement retention and compression strategies for data storage.

Skills

Experience with Spark

Production experience with Ray Data

Debugging performance issues

Data modeling

Tools

ClickHouse

dbt

Dagster

Job description

Cursor is seeking a qualified Data Infrastructure Engineer based in New York. This role involves designing, maintaining, and optimizing data systems with a focus on correctness and performance. The ideal candidate will have deep expertise in Spark, production experience with Ray Data, and hands-on ownership of large data pipelines.

Responsibilities include ensuring data quality and performance, implementing data retention strategies, and maintaining system reliability. Candidates with experience in ClickHouse and dbt will be preferred. Flexible work arrangements are available.