Negotiable
Outside
Remote
USA
Summary: The Healthcare Lead Data Engineer is responsible for designing and leading scalable data architectures and pipelines to support analytics and business intelligence in a cloud-based environment. This role emphasizes data optimization, workflow automation, and ensuring reliable data operations. The position requires extensive experience in IT and healthcare data management. The engineer will also lead data projects and collaborate across teams to meet data needs.
Key Responsibilities:
- Design and maintain scalable data pipelines and architectures
- Lead data projects and ensure best practices
- Collaborate across teams to meet data needs
- Optimize data systems for analytics and reporting
- Ensure data quality and system reliability in production environments
Key Skills:
- 8+ years of IT experience, with 5+ years in Python, PySpark, and SQL for big data processing
- Experience with data lakes (Iceberg format), ETL (Informatica), and data quality
- Proficiency in 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
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Title: Healthcare Lead Data Engineer
Location: NYC, NY | Tampa, FL - Remote
Senior Data Engineer - Position 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
Responsibilities
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