
10,000+ employees
☁️ SaaS
🤝 B2B
🤖 Artificial Intelligence
💰 Seed on 2006-12
SaaS • B2B • Artificial Intelligence
IKS Health is a healthcare technology company that provides an AI-driven care enablement platform and services to health systems, physician enterprises, ambulatory practices and specialty clinics. Their offerings include revenue cycle management, clinical documentation (ambient AI scribe, virtual medical scribing, transcription), denial prediction, medical coding and audits, patient access solutions, care coordination and value-based care optimization, combining agentic AI with human expertise to improve clinical workflows, reduce clinician burden, and enhance financial performance.
🔥 11 minutes ago
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10,000+ employees
☁️ SaaS
🤝 B2B
🤖 Artificial Intelligence
💰 Seed on 2006-12
SaaS • B2B • Artificial Intelligence
IKS Health is a healthcare technology company that provides an AI-driven care enablement platform and services to health systems, physician enterprises, ambulatory practices and specialty clinics. Their offerings include revenue cycle management, clinical documentation (ambient AI scribe, virtual medical scribing, transcription), denial prediction, medical coding and audits, patient access solutions, care coordination and value-based care optimization, combining agentic AI with human expertise to improve clinical workflows, reduce clinician burden, and enhance financial performance.
• contribute to the development and deployment of AI and machine learning infrastructure • Design, develop, and maintain ELT/ETL pipelines • Build and optimize data models in cloud-based data warehouses • Architect and provision cloud data infrastructure on GCP • Ensure all data systems comply with HIPAA and HITECH regulations • Implement data quality frameworks and validation rules • Partner with data scientists, analysts, and ML engineers
• 5+ years of professional data engineering experience • Advanced proficiency in Python and SQL • Hands-on experience with a modern data warehouse platform (Snowflake, BigQuery, or Redshift) • Experience with dbt (data build tool) • Knowledge of healthcare data standards and HIPAA compliance • Strong experience with workflow orchestration tools (Apache Airflow, Prefect, or Dagster) • Proficiency with infrastructure-as-code (Terraform) and containerization (Docker, Kubernetes) • Solid understanding of data modeling principles • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
• healthcare • 401 (k) • paid time off
Apply Now🔥 13 minutes ago
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🔥 39 minutes ago
Senior Data Engineer contributing to AI and machine learning infrastructure at IKS Health. Building cloud-based data infrastructures and maintaining robust data pipelines for healthcare analytics.
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