Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with strong healthcare experience, offering a long-term contract. Required skills include Python, PySpark, SQL, AWS services, ETL, and data lakes. Minimum qualifications include 8+ years of IT experience and 5+ years in relevant technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date discovered
August 8, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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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
#Data Quality #BI (Business Intelligence) #Automation #"ETL (Extract #Transform #Load)" #Lambda (AWS Lambda) #Data Lake #Scala #Big Data #Cloud #SQL (Structured Query Language) #Python #Airflow #Data Pipeline #Scripting #Agile #S3 (Amazon Simple Storage Service) #PySpark #Informatica #Data Engineering #Redshift #Data Architecture #Spark (Apache Spark) #AWS (Amazon Web Services) #Data Processing #Bash #Shell Scripting
Role description
Lead Data Engineer with Strong Healthcare Experience.
Long Term
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
Lead Data Engineer with Strong Healthcare Experience.
Long Term
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
