Lorven Technologies Inc.
Healthcare Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Healthcare Lead Data Engineer, a contract-to-hire position based in NYC, NY. Requires 12+ years of experience, including 5+ years in Python, PySpark, SQL, AWS, and healthcare data. Remote work available.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
November 12, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Big Data #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Lambda (AWS Lambda) #Data Engineering #Airflow #AWS (Amazon Web Services) #BI (Business Intelligence) #PySpark #Agile #Data Processing #Scripting #Shell Scripting #Data Lake #Bash #Data Quality #Data Pipeline #Cloud #Data Architecture #Redshift #Scala #Python #Automation #Informatica #S3 (Amazon Simple Storage Service) #Spark (Apache Spark)
Role description
Job Title: Healthcare Lead Data Engineer
Location: NYC, NY (Remote)
Job Type: Contract-to-Hire role (Visa sponsorship is not available)
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
• 12+ years of overall experience and 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
Job Title: Healthcare Lead Data Engineer
Location: NYC, NY (Remote)
Job Type: Contract-to-Hire role (Visa sponsorship is not available)
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
• 12+ years of overall experience and 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
