Commure
Senior Software Engineer, Data Platform
Mountain View, CA, Remote. Posted 3 days ago
The role
You will own Commure's data warehouse platform end-to-end, from change data capture pipelines and streaming to the query layer and analytics tooling. This is a hands-on individual contributor role where you make architecture decisions and set platform standards.
What you will do
- Own the data warehouse platform end-to-end: CDC pipelines, data lake, query layer, transformation layer, and analytics tooling.
- Design and operate CDC pipelines with Debezium and a streaming backbone (Kafka, Redpanda, or equivalent) 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.
- Run and scale StarRocks or adjacent MPP/lakehouse engines: schema design, materialized views, ingestion, tuning, and cost/performance trade-offs.
- Build the transformation layer with dbt: modeling standards, tests, documentation, and a semantic layer.
- Stand up orchestration (Airflow, Dagster, or similar), CI/CD, observability, and data-quality tooling.
- Partner with Security and Compliance on PHI/PII handling, access controls, lineage, and auditability to meet HIPAA and SOC 2 standards.
- Collaborate with product and analytics teams on schema contracts, ingestion patterns, and self-serve tooling.
Required qualifications
- 5+ years of software engineering experience, with significant time building or operating data platforms at scale.
- Experience across the modern data stack: CDC (Debezium or equivalent), streaming (Kafka, Redpanda), data lake formats (Iceberg, Delta, Hudi), an MPP or lakehouse query engine (StarRocks, ClickHouse, T
- Fluent in SQL, schema design, query optimization, and reasoning about cost and latency trade-offs on large datasets.
- Experience running production data infrastructure: orchestration, observability, on-call, data quality, and incident response.
- Agreement to follow the organization's information security policies, report security events, and attest to these requirements at hire and annually.
Nice to have
- Direct experience with Debezium, StarRocks, and dbt in production.
- Experience building semantic layers (dbt Semantic Layer, Cube) or data catalogs and lineage (DataHub, OpenMetadata, Amundsen).
- Experience with HIPAA-regulated data: PHI handling, de-identification, and access governance.
- Experience powering AI/ML workloads: feature stores, training-set curation, embedding pipelines, or retrieval systems.
- Experience across multiple clouds (AWS, GCP, Azure), infrastructure-as-code (Terraform, Pulumi), and Kubernetes controllers.
Before you apply
- Official communication comes only from email addresses ending in @commure.com; emails from other domains are not affiliated with the company.
About the company
Commure is building an AI operating system for healthcare, covering ambient AI documentation, workflow agents, and autonomous revenue cycle management. The posting states it works with 500,000+ clinicians across 500+ healthcare organizations.