Senior Data Engineer

🔥 6 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $135k - $165k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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IKS Health

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, develop, and maintain robust ELT/ETL pipelines ingesting clinical, claims, and operational data. • Build and optimize data models in cloud-based data warehouses to support analytics, reporting, and ML workflows. • Implement and manage orchestration frameworks to ensure reliable, monitored, and observable data workflows. • Architect and provision cloud data infrastructure on GCP using infrastructure-as-code tools. • Optimize cloud resource usage for cost efficiency without compromising performance or reliability SLAs. • Ensure all data systems comply with HIPAA, HITECH, and applicable state privacy regulations. • Work with clinical and compliance teams to maintain data governance standards. • Implement data quality frameworks and validation rules to detect anomalies. • Partner with data scientists, analysts, and ML engineers to design datasets and feature stores.

🎯 Requirements

• 5+ years of professional data engineering experience, with at least 2 years focused on cloud-native environments. • Advanced proficiency in Python and SQL for data pipeline development and transformation logic. • Hands-on experience with a modern data warehouse platform (Snowflake, BigQuery, or Redshift). • Experience with dbt (data build tool) or equivalent transformation frameworks. • Demonstrated knowledge of healthcare data standards, including HL7 FHIR, and familiarity with HIPAA compliance requirements. • Strong experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster. • Proficiency with infrastructure-as-code (Terraform or equivalent) and containerization (Docker, Kubernetes). • Solid understanding of data modeling principles, including dimensional modeling and data vault techniques. • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.

🏖️ Benefits

• healthcare • 401 (k) • paid time off