2 months ago
Base Salary
$210k - $275k/yr
Responsibilities
- Own the data warehouse platform end-to-end, including CDC pipelines, data lake, query layer, transformation layer, and analytics tooling.
- Design and operate low-latency, high-fidelity CDC pipelines and streaming transport from operational databases into the warehouse.
- Architect object-storage data lakes using open table formats and Parquet for batch and streaming workloads.
- Run and scale StarRocks or adjacent MPP/lakehouse engines, including schema design, materialized views, ingestion, tuning, and cost/performance optimization.
- Build dbt transformation standards, tests, documentation, and a semantic layer for shared metrics.
- Establish orchestration, CI/CD, observability, and data-quality tooling for reliable daily operations.
- Partner with Security and Compliance on PHI/PII handling, access controls, lineage, auditability, HIPAA, and SOC 2 requirements.
- Define schema contracts, ingestion patterns, and self-service tooling for product and analytics teams.
- Set architectural direction, write key production code, and establish platform patterns for other teams.
Requirements
- 6+ years of software engineering experience, including significant experience building or operating data platforms at scale.
- Experience with CDC technologies such as Debezium, streaming systems such as Kafka or Redpanda, data lake formats such as Iceberg, Delta Lake, or Hudi, query engines such as StarRocks, ClickHouse, Trino, Snowflake, or Databricks, and dbt.
- Fluency in SQL, schema design, query optimization, and cost and latency trade-offs for large datasets.
- Experience operating production data infrastructure, including orchestration, observability, on-call, data quality, and incident response.
- Preferred experience with Debezium, StarRocks, and dbt in production.
- Preferred experience with semantic layers such as dbt Semantic Layer or Cube and data catalogs or lineage tools such as DataHub, OpenMetadata, or Amundsen.
- Preferred experience handling HIPAA-regulated data, including PHI, de-identification, and access governance.
- Preferred experience supporting AI/ML workloads through feature stores, training-set curation, embedding pipelines, or retrieval systems.
- Preferred experience across AWS, GCP, and Azure, infrastructure-as-code with Terraform or Pulumi, and Kubernetes controllers.
Tech Stack
Apache AirflowApache KafkaAWSAzureClickHouseDatabricksdbtGoogle Cloud PlatformKubernetesSnowflakeTerraform
Categories
Data Engineering
About Commure
Commure builds an AI-native healthcare platform for providers and health systems, spanning ambient clinical documentation, provider copilots, coding, and revenue cycle automation, integrated with 60+ EHRs. It sells enterprise software and services to hospitals and care organizations to streamline clinical and administrative workflows. The privately held company is headquartered in Mountain View, California, and reports adoption by 500,000+ clinicians across 500+ organizations, with billions in claims processed annually.