Healthcare Lead Data Engineer

Healthcare Lead Data Engineer

Posted Today by 1756883730

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

Detailed Description From Employer:

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

  • 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
  • Optimize data systems for analytics and reporting
  • Ensure data quality and system reliability in production environments