CareSimple is hiring a Data Engineer to build and own data pipelines, analytics, and automated billing logic for its remote patient monitoring platform, turning device and EHR data into clinical insight and clean CPT-code billing. Day-to-day work centers on SQL, Python, and modern data tooling like dbt, Airflow, and warehouses such as BigQuery, Snowflake, or Postgres.
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
Strong SQL and Python
Experience with modern pipelines and warehouses (dbt, Airflow, BigQuery, 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 CareSimple
CareSimple 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.