Senior Data Platform Engineer: End-to-End Warehouse

Commure; California; On-site; USD 150,000 - 230,000; Full time

Job summary

Commure is hiring a Senior Software Engineer to own the data warehouse platform end-to-end, spanning CDC pipelines, data lake, and the analytics-facing layer. You will design, operate, and optimize the stack using Debezium, StarRocks, and dbt, while ensuring security, compliance, and scalable performance for healthcare data across the organization.

You will collaborate with product and analytics teams, build meaningful semantic layers, and establish robust CI/CD and data-quality tooling.

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, Trino, Snowflake, Databricks), and dbt.
• 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).

Responsibilities

• 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.
• Stand up orchestration (Airflow, Dagster, or similar) and the CI/CD, observability, and data-quality tooling that make the platform trustworthy day-to-day.
• Partner with Security and Compliance on PHI/PII handling, access controls, lineage, and auditability so the platform meets HIPAA and SOC 2 bar by default.
• Collaborate with product and analytics teams on schema contracts, ingestion patterns, and self-serve tooling so they can build on the platform with confidence.

Skills

Data Platform

SQL & Query Optimization

Streaming Data (Debezium Kafka)

dbt / Semantic Layer

Tools

Debezium

StarRocks

dbt

Iceberg

Delta Lake

Kafka

Job description

Commure is hiring a Senior Software Engineer to own the data warehouse platform end-to-end, spanning CDC pipelines, data lake, and the analytics-facing layer. You will design, operate, and optimize the stack using Debezium, StarRocks, and dbt, while ensuring security, compliance, and scalable performance for healthcare data across the organization.

You will collaborate with product and analytics teams, build meaningful semantic layers, and establish robust CI/CD and data-quality tooling.