Our dashboards are slow. Pipelines break. Analysts can't trust the data. Data scientists wait days for features.

You fix that. As a Senior Data Engineer, you build the pipes, warehouses, and tools that let 2000+ people make data-driven decisions at petabyte scale. If data is late, wrong, or expensive — you feel it. If queries run 10x faster and costs drop 50% — that's also you.

What You'll Do

1. Build & Scale Data Pipelines

• Design, build, and operate batch + real-time pipelines ingesting 1M+ events/sec from app, logs, and 3rd party sources
• Own data modeling: dimensional, Data Vault, or lakehouse on Iceberg/Hudi/Delta. You decide, you defend
• Transform messy raw data into clean, tested, documented marts that 1000+ users trust
• Orchestrate 1000+ DAGs with Airflow: SLAs, retries, backfills, ...