Senior AWS Cloud Data Engineer Healthcare Domain

Senior AWS Cloud Engineer Healthcare Domain

Remote

Job Summary

We are looking for a seasoned Senior AWS Cloud Engineer with 15+ years of experience and a strong background in AWS, Python, and PySpark, along with healthcare domain expertise. The ideal candidate will design and build scalable, secure, and compliant cloud-based data platforms handling sensitive healthcare data while adhering to regulatory standards.

Key Responsibilities

• Design and implement cloud-native architectures on AWS for healthcare applications and data platforms
• Build and maintain scalable data pipelines using Python and PySpark for processing large healthcare datasets
• Develop ETL/ELT workflows for structured and unstructured healthcare data (EHR/EMR, claims, clinical data)
• Work with AWS services such as:
• Amazon S3, EMR, Glue, Lambda, Redshift, RDS, Athena
• Ensure data security, privacy, and compliance with healthcare regulations (e.g., HIPAA)
• Implement data lakes and data warehouses for healthcare analytics and reporting
• Optimize performance and cost efficiency of cloud workloads
• Automate deployments using Infrastructure as Code (Terraform/CloudFormation)
• Implement orchestration using Airflow or AWS Step Functions
• Enable real-time and batch data processing pipelines
• Collaborate with data engineers, clinicians, analysts, and business stakeholders
• Provide technical leadership and mentorship to engineering teams

Required Skills & Qualifications

• 15+ years of IT experience, with significant experience in cloud engineering
• Strong hands-on experience with AWS cloud services
• Expert-level proficiency in Python and PySpark
• Experience working with large-scale healthcare datasets
• Strong knowledge of:
• Data modeling, ETL pipelines, and distributed computing
• Hands-on experience with AWS services:
• S3, EMR, Glue, Lambda, Redshift, Athena
• Experience building secure and compliant data systems
• Knowledge of healthcare data standards such as:
• HL7, FHIR, ICD, CPT (preferred)
• Strong SQL and database skills (RDBMS and NoSQL)

Familiarity with CI/CD, DevOps, and containerization (Docker/Kubernetes).