Staff Data Engineer

Role Summary

Key Responsibilities

• Design, build, and own large‑scale batch and streaming data pipelines using Spark, Kafka, and Python
• Define and maintain robust data models to support analytics, reporting, and ML consumption
• Ensure data quality, reliability, observability, and performance across production pipelines
• Act as a technical lead for complex data initiatives spanning multiple teams
• Partner with Data Science teams to: Enable ML feature pipelines Support model training and inference data flows Operationalize ML outputs into downstream systems
• Enable ML feature pipelines
• Support model training and inference data flows
• Operationalize ML outputs into downstream systems
• Drive best practices in data engineering, including code quality, testing, and production readiness
• Mentor engineers and raise overall engineering standards across the data platform