The company is a healthcare data analytics provider offering modern data infrastructure, reporting, and AI‑driven insights. Their technology focuses on improving how healthcare organizations manage, analyze, and use clinical data.
Core Solutions
• Healthcare data platform: Consolidates structured and unstructured patient data in near real time to create a unified data foundation.
• Longitudinal clinical data ecosystem: Enables comprehensive management and analysis of patient information.
• Patient engagement platform: Integrates data from multiple sources to support secure communication and holistic patient care.
• Population health management suite: Aggregates clinical and claims data, identifies at‑risk groups, and supports interventions to improve outcomes and reduce costs.
• Care coordination and analytics tools: Provide a complete view of patient data to enhance quality, reduce costs, and support risk stratification.
• AI and analytics services: Transform healthcare data into actionable insights for better care and operational efficiency.
Main expectations: 1. Strong Python 3.x backend development (Flask + multithreading) 2. Solid SQL skills and hands‑on experience with PostgreSQL 3. Practical experience with BigQuery and Google Cloud services 4. Containerization skills (Docker/Podman) and basic Kubernetes knowledge 5. ETL/ELT pipeline experience and large‑scale data processing
Conditions:
• Compensation: 5500–6500 USD/month
• Contract: B2B
• Remote‑friendly
