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.
Required Engineer Skills:
Data Engineering: ETL/ELT pipeline design (our framework); chunked processing partitioned across k8s worker nodes (distinct from the old VM-based approach — distributed workload understanding required); schema mapping (Oracle/SQL Server → BigQuery); row-count validation and data quality checks.
Backend Development: Python 3.x (threading, decorators, generators, context managers); Flask (routing, middleware, blueprints, request lifecycle); REST API design; SQL (transactions, row-level locking, window functions).
Databases: PostgreSQL on GCP PaaS — pooling, migrations, query optimization. Familiarity with Oracle (config, dialect differences) and SQL Server (source extraction).
Google Cloud Platform: BigQuery (DDL/DML, schema, datasets); Cloud Storage; Secret Manager (with k8s); service accounts/ADC (WIF/WIP); general Kubernetes familiarity.
DevOps & Infrastructure: Docker/Podman; CI/CD (Azure DevOps or similar), env var/secrets management; distributed systems (heartbeats, locking, crash recovery on k8s).
General Software Engineering: Multithreading (locking, thread-safe state); background job scheduling; structured logging with per-job isolation; robust error handling/graceful degradation; database migration authoring.
Conditions:
• Compensation: 5500–6500 USD/month
• Contract: B2B
