Healthcare Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Healthcare Lead Data Engineer on a contract-to-hire basis, offering a remote position in NYC, NY. Requires 12+ years of IT experience, 5+ in Python, PySpark, SQL, AWS, and healthcare data expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 27, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Big Data #Informatica #Cloud #Spark (Apache Spark) #Bash #Automation #Shell Scripting #Scripting #Data Architecture #Airflow #Agile #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Data Quality #Data Engineering #BI (Business Intelligence) #PySpark #Python #Scala #"ETL (Extract #Transform #Load)" #Data Processing #Data Lake #Data Pipeline #Lambda (AWS Lambda) #Redshift
Role description
Role: Healthcare Lead Data Engineer
Location: NYC, NY (Remote)
Job Type : Contract To Hire
Job Description:
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:
• 12+ 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
Role: Healthcare Lead Data Engineer
Location: NYC, NY (Remote)
Job Type : Contract To Hire
Job Description:
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:
• 12+ 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
