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CursorCursorSan Francisco, CA

Software Engineer, Data Infrastructure

Builds and scales large-scale data infrastructure including batch systems with Spark and Ray Data, streaming pipelines with Kafka/Flink, and storage on S3/Iceberg. Requires deep hands-on experience with production data pipelines and performance debugging.

Salary not listed
On-siteData Engineering

About the role

What we're looking for

We’re looking for someone who has built real systems at scale and cares about correctness, cost, and ergonomics.

Strong signals include:

  • Deep experience with Spark (Databricks or open-source Spark both count)
  • Production experience with Ray Data
  • Hands-on ownership of large data pipelines and storage systems
  • Comfort debugging performance issues across compute, storage, and networking layers
  • Clear thinking about data modeling and long-term maintainability

Nice to have

  • Experience running or scaling ClickHouse
  • Familiarity with dbt, Dagster, or similar orchestration and modeling tools

Skills

SparkRay DataKafkaFlinkS3IcebergDelta LakeClickHousedbtDagster
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