Senior Data Engineer

📋 Description Take full-lifecycle ownership of the streaming platform - architecture, implementation, production Run the platform in production - own latency/throughput SLOs, monitoring and alerting Build and extend streaming pipelines that ingest CDC events from operational databases and SaaS Transform and enrich in Spark (Structured Streaming or dbt-on-Spark micro-batch) Enable secure, governed data access over PHI Make the platform reliable and observable - idempotent/replayable pipeline design, data-quality 🎯 Requirements 6+ years building and operating production data systems Deep, production experience with Apache Kafka Strong, hands-on Apache Spark experience (PySpark) AWS-native data engineering across streaming, processing, storage, and catalog services (e.g., MSK Comfort debugging distributed data pipelines Expert-level SQL and Python 🎁 Benefits alternative medicine coverage flexible PTO paid parental leave (up to 16 weeks) paid holidays 401k program transportation perks