Member of Technical Staff (Software Engineer, Data Platform)

📋 Description

• Design and operate large-scale batch and streaming data pipelines powering product features, AI
• Build event-driven streaming systems (Kafka, Kinesis, PubSub, etc.) for real-time ingestion and
• Lead data orchestration architecture usingAirflow or Dagster, managing scheduling, retries, SLAs
• Ensure data correctness, freshness, lineage, and recoverability amid rapid scale and evolving
• Build self-serve data platforms for engineers, scientists, and analysts with safe discovery and
• Improve developer experience with abstractions, standards, and data platform as a product used by

🎯 Requirements

• 5+ years (Senior) or 8+ years (Staff) of software engineering experience.
• Strong production data infrastructure experience.
• Hands-on batch and/or streaming data processing at scale.
• Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).
• Proficiency in Python and at least one backend language (Go, TypeScript, etc.).
• Strong systems thinking on reliability, latency, cost, and complexity tradeoffs.

🎁 Benefits