EDI Data Engineer

Summary:

• The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence.
• This role focuses on data optimization, workflow automation, and ensuring reliable data operations in a cloud-based environment

Minimum Qualifications:

• 8+ years of IT experience, with 5+ years in:
• Python, PySpark, and SQL for big data processing
• Data lakes (Iceberg format), ETL (Informatica), and data quality
• AWS services: S3, Glue, Redshift, Lambda, EMR, Airflow, Postgres
• BASH/Shell scripting
• Experience with healthcare data and leading data teams
• Agile development experience

 
Responsibilities:

• Design and maintain scalable data pipelines and architectures
• Lead data projects and ensure best practices
• Optimize data systems for analytics and reporting
• Ensure data quality and system reliability in production environments