Staff Data Engineer - Data & ML Platform

About the Role As a Staff Data Engineer, you will be a technical leader on the Data & ML Platform team, owning the architecture and reliability of the data infrastructure that powers real-time member experiences, analytics, and AI across Hinge Health. Where a Senior Data Engineer owns individual pipelines and systems, you own the patterns, standards, and architectural decisions that shape how the entire platform works. You will design systems that move data from dozens of upstream services — across Kafka event streams and transactional databases — into a unified data platform that serves real-time APIs, analytical workloads, and ML systems on Databricks. You will lead the most complex technical initiatives end-to-end, drive alignment across teams, and make the architectural calls that other engineers build on. You will define data contracts, own schema evolution strategy, and set the standards for how data is modeled, tested, and governed across the platform. You'll work in a modern stack: Python, SQL, Flink, PySpark, Kafka, Delta Lake, dbt, Airflow, Aurora PostgreSQL, and AWS. This is a high-ownership role where you operate with significant autonomy. You'll work closely with a