Senior Data Engineer
Summary
Builds and maintains healthcare data pipelines and analytics infrastructure using Python, PostgreSQL, BigQuery, and GCP to process clinical data and deliver AI-driven insights.
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