IKS Health
10,000+ employees
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
IKS Health is a healthcare technology and services company that combines AI-driven software and human expertise to streamline clinical, operational, and financial workflows across the care journey. The company provides platform-based solutions including revenue cycle management, patient access, denial prediction and optimization, medical coding, clinical documentation (ambient AI scribe, virtual scribing, transcription), care team enablement, and value-based care/risk optimization. IKS Health serves health systems, physician enterprises, ambulatory and specialty practices, and emphasizes human-in-the-loop agentic AI built on cloud technologies to reduce administrative burden, improve financial performance, and enhance care quality.
Senior Data Engineer
🕒 Yesterday
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IKS Health
10,000+ employees
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
SaaS • Artificial Intelligence • B2B
IKS Health is a healthcare technology and services company that combines AI-driven software and human expertise to streamline clinical, operational, and financial workflows across the care journey. The company provides platform-based solutions including revenue cycle management, patient access, denial prediction and optimization, medical coding, clinical documentation (ambient AI scribe, virtual scribing, transcription), care team enablement, and value-based care/risk optimization. IKS Health serves health systems, physician enterprises, ambulatory and specialty practices, and emphasizes human-in-the-loop agentic AI built on cloud technologies to reduce administrative burden, improve financial performance, and enhance care quality.
📋 Description
• Contribute to AI and machine learning infrastructure development • Build and maintain cloud-based data infrastructure • Design, develop, and maintain robust ELT/ETL pipelines • Optimize data models in cloud-based data warehouses • Implement and manage orchestration frameworks • Architect and provision cloud data infrastructure on GCP • Ensure compliance with HIPAA and HITECH regulations • Implement data quality frameworks and validation rules • Collaborate with data scientists and analysts
🎯 Requirements
• 5+ years of professional data engineering experience • Advanced proficiency in Python and SQL • Hands-on experience with modern data warehouse platforms • Experience with dbt or equivalent transformation frameworks • Strong experience with workflow orchestration tools • Proficiency with infrastructure-as-code and containerization • Solid understanding of data modeling principles • Bachelor's or Master's degree in a related technical field
🏖️ Benefits
• healthcare • 401 (k) • paid time off
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