Lead Data Engineer — Real-Time Pipelines

Role at a glance

Make pipelines boring for downstream teams.

Aurora Healthcare (demo) streams clinical ops events into research sandboxes. You will lead the team that enforces schema evolution, PII rules, and replay—without making analysts wait a week for every new field.

What you will do

• Design shared standards for event naming, versioning, and backfills when producers change behavior at 2 a.m. anyway
• Tighten SLAs on late data, dead-letter queues, and quarantine with human-readable playbooks, not a wall of PagerDuty noise
• Build partnership with product engineering so new features ship with telemetry, not a post-launch data scramble

What we need

• 5+ years in data engineering with streaming systems in production
• You know how to test pipelines: contract tests, replay harnesses, and realistic failure injection

How we will interview you

Architecture review with our principal engineer, pair on a real outage scenario (tabletop + fix sketch), and a culture chat with the data org. We check references for collaboration, not leetcode speed.

Note: this posting is demo data for the portal. Compensation band tests filters only. Apply via example.com addresses in this record.