RPM only creates value when the data behind it is accurate, timely, and billable. We're looking for a Data Engineer to build the pipelines and analytics that turn millions of device readings into clinical insight and clean, automated billing across the full set of RPM CPT codes.

You'll join our in-house engineering team and own data infrastructure end to end.

What you'll do
Build and maintain data pipelines from cellular devices, the platform, and EHR integrations
Model and automate RPM billing logic across CPT codes (99453, 99454, 99457, 99458, and the 2026 additions)
Build analytics and dashboards that surface adherence, alerts, and program performance
Develop tooling that augments our clinical team's capacity
Ensure data quality, lineage, and security across systems

What we're looking for
3+ years in data or analytics engineering




Solid SQL and Python
Experience with contemporary pipelines and warehouses (dbt, Airflow, Big Query, Snowflake, or Postgres)
Comfort working with messy, real-world operational data
Care for accuracy in a regulated, healthcare context
Preferred: healthcare, RPM, or billing data experience; familiarity with HIPAA and data security

About Care Simple

Care Easy helps provider organizations deliver remote patient monitoring at scale, with an in-house North American engineering team that owns the full software and firmware stack. We build the technology that lets providers care for far more patients with chronic conditions.

📌 Data Engineer, Rpm Analytics & Billing Montreal
🏢 CareSimple
📍 Montreal