Staff Software Engineer, Data Warehouse

About the role

At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs.

Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.”

Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here.

The future of healthcare is being built right now. Come deliver this transformation.

ABOUT THE ROLE

We're hiring a Staff Software Engineer to own Commure's data warehouse platform end-to-end. You'll design, build, and operate every layer of the stack:

- CDC pipelines

- Streaming transport

- Schema governance and data contracts

- Query and serving layer

- Analytics platform

The core stack today: Debezium for CDC, StarRocks as our MPP query and serving engine, and dbt for transformation and modeling. This is a hands-on IC role with broad scope. You'll make architectural calls, write the code that matters most, and set the patterns other teams build on.

WHAT YOU'LL DO

- Own the data warehouse platform end-to-end: CDC pipelines, data lake, query layer, transformation layer, and the analytics-facing tooling that sits on top.

- Design and operate CDC pipelines with Debezium (and Kafka, Redpanda, or an equivalent streaming backbone) that move data from operational databases into the warehouse with low latency and high fidelity.

- Architect the data lake on object storage using an open table format (Iceberg, Delta Lake, or Hudi) with Parquet, enabling both batch and streaming workloads and clean separation of storage from compute.

- Run and scale StarRocks (or adjacent MPP/lakehouse engines) as the query and serving layer - schema design, materialized views, ingestion patterns, tuning, and cost/performance trade-offs.

- Build the transformation layer with dbt: modeling standards, tests, documentation, and a semantic layer that gives every team a single source of truth for metrics.