Senior Data Engineer - Revenue Data Platform

📋 Description

• Own parts of a large-scale processing platform for billing and cost attribution.
• Design high-throughput data pipelines for billing, cost attribution, and revenue data.
• Improve platform reliability, reduce latency, and optimize Spark processing.
• Collaborate with Finance and Product on root-cause investigations and new billing features.
• Work across Python and Scala with Spark, Airflow, Trino, and Apache Iceberg.
• Participate in on-call rotation and uphold high reliability for production systems.

🎯 Requirements

• Experience building/operating production data pipelines at scale using Spark and Airflow.
• Strong ownership mindset for cross-functional investigations and data correctness.
• Ability to balance feature delivery with platform health and technical debt.
• Analytical, rigorous approach to data correctness and reliability.
• Comfort working in ambiguous environments and aligning multiple stakeholders.
• Commitment to code quality and operational excellence.

🎁 Benefits

• Competitive salary and equity; comprehensive benefits including healthcare, 401(k) match, PTO