Senior Software Engineer, Data Platform

Commure

. Own Commure's data warehouse platform end-to-end, including CDC pipelines, data lake, query layer, transformation layer, and analytics-facing tooling .

Posted 11/11/2026full-timeUnited StatesSenior💰 $180,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating data platforms, including CDC pipelines, data lakes, and analytics tooling. Proficient in SQL, schema design, and ensuring compliance with HIPAA and SOC 2 standards.

Highest-signal resume keywords

CDC Pipeline DevelopmentData Lake ArchitectureSQL ProficiencyData Quality ManagementHIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DebeziumKafkaRedpandaIcebergDelta LakeHudiStarRocksDbtSchema DesignQuery Optimization

Tools & Technologies

CI/CDObservability ToolsData Quality ToolsInfrastructure-as-CodeKubernetes

Industry Keywords

PHI HandlingPII HandlingData GovernanceAuditabilityAI/ML Workloads

Tech Stack

Tools & technologies

KafkaKubernetesSnowflakeSQL

About the role

Key responsibilities & impact

Own Commure's data warehouse platform end-to-end, including CDC pipelines, data lake, query layer, transformation layer, and analytics-facing tooling
Design and operate low-latency, high-fidelity CDC pipelines using Debezium and Kafka, Redpanda, or an equivalent streaming backbone
Architect a data lake on object storage using Iceberg, Delta Lake, or Hudi with Parquet for batch and streaming workloads
Run and scale StarRocks or adjacent MPP/lakehouse engines, including schema design, materialized views, ingestion patterns, tuning, and cost/performance trade-offs
Build the dbt transformation layer with modeling standards, tests, documentation, and a semantic layer for consistent metrics
Establish orchestration, CI/CD, observability, and data-quality tooling
Partner with Security and Compliance on PHI/PII handling, access controls, lineage, and auditability for HIPAA and SOC 2 compliance
Collaborate with product and analytics teams on schema contracts, ingestion patterns, and self-serve tooling

Requirements

What you’ll need

5+ years of software engineering experience, with significant time building or operating data platforms at scale
Experience with 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, including orchestration, observability, on-call, data quality, and incident response
Preferred: Direct experience with Debezium, StarRocks, and dbt in production
Preferred: Experience building semantic layers or data catalogs/lineage
Preferred: Experience with HIPAA-regulated data, including PHI handling, de-identification, and access governance
Preferred: Experience powering AI/ML workloads, including feature stores, training-set curation, embedding pipelines, or retrieval systems
Preferred: Experience across multiple clouds, infrastructure-as-code, and Kubernetes controllers
Employees must comply with information security policies and attest to these requirements upon hire and annually

Benefits

Comp & perks

Equity
Daily deployment and direct ownership from early thinking to production
Official communications exclusively from @commure.com email addresses