Senior AWS Cloud Data Engineer Healthcare Domain
Posted 3 days ago by Concent Software Solution LLC
Negotiable
Undetermined
Remote
Remote
Summary: We are seeking a highly experienced Senior AWS Cloud Engineer with over 15 years in IT, specializing in AWS, Python, and PySpark, particularly within the healthcare domain. The role involves designing and building secure, scalable cloud-based data platforms that comply with healthcare regulations. The ideal candidate will leverage their expertise to handle sensitive healthcare data effectively. This position is fully remote, allowing for flexibility in work arrangements.
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
Key Skills:
- 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)
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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).