: Title: Data Engineer - EDI

Location: New York, NY (100% Remote) Duration: 3-4 Months (C2H)

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 Strong problem-solving and communication skills

Responsibilities Design and maintain scalable data pipelines and architectures Lead data projects and ensure best practices Collaborate across teams to meet data needs Ensure data quality and system reliability in production environments Optimize data systems for analytics and reporting