Data Engineer

• Own data architecture end-to-end. Every new project we build is slightly different – how do we capture, model, and serve critical business data so it’s both flexible and straightforward.
• Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and ensure every teammate has access to the data they need, where they need it.
• Enforce data quality at scale. Build tests, monitoring, and reconciliation systems that make datasets observable and anomalies actionable.
• Design and maintain scalable data models, decision tools, and analytics infrastructure to empower self-serve analytics and derive insight.
• Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, comprehensible data through semantic layers, APIs, and real-time query systems.

Data Engineer

Senior Data Engineer