CipherHealth

Data Engineer

• Own the warehouse, transforms, orchestration, and serving layer, including dashboards, reverse ETL, and agents
• Build reliable pipelines from product events, CRM, marketing, finance, support, and other sources
• Implement contracts, retries, visibility, tested models, metrics, quality tests, anomaly detection, lineage, SLAs, and incident processes
• Partner with Engineering on events, tracking plans, data contracts, access governance, PII, and documentation
• Build and own the quality and adoption of the agent layer, including health monitoring, failed-job summaries, cost and performance flags, draft models/tests/docs, schema-change alerts, health reports, and suggested fixes
• Run platform reviews, retrospectives, SLA reporting, and prioritization with Product, Analytics, and go-to-market teams
• Ensure clear ownership, tests, documentation, and rollback for major data products
• Deliver end-to-end as an individual contributor with no direct reports

Explore Data Engineer at CipherHealth. Review requirements and application details.