IMS Group
Data Engineer(Only W2 and Healthcare Exp)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 8+ years of experience, focused on healthcare data, optimizing data pipelines in Databricks using Python and PySpark. Contract length is unspecified, and pay rate is not provided. Fully remote position.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#SQL Server #Kubernetes #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #PySpark #Scala #Docker #Python #Azure SQL #Automation #Data Integration #Azure #Data Engineering #Data Modeling #Data Pipeline #SQL (Structured Query Language) #Databricks #Normalization
Role description
Title: Data Engineer - Only W2 Not on C2C
Fully Remote
What You’d Be Doing:
• Developing and optimizing data pipelines in Databricks using Python and PySpark
• Designing ETL/ELT frameworks and scalable data models
• Working within Azure SQL environments (Managed Instance, Azure SQL DB, SQL Server VMs)
• Supporting large-scale healthcare data harmonization and normalization efforts
• Leveraging Docker and Azure Kubernetes Service (AKS) for automation workflows
• Driving performance optimization and scalability improvements
What They’re Looking For:
• 8+ years of enterprise data engineering experience
• Strong Databricks experience (Python + SQL/PySpark)
• Deep Azure SQL Server ecosystem experience
• Strong background in data modeling and ETL/ELT design patterns
• Experience with Docker and Azure Kubernetes Service
• Healthcare data integration experience strongly preferred
Title: Data Engineer - Only W2 Not on C2C
Fully Remote
What You’d Be Doing:
• Developing and optimizing data pipelines in Databricks using Python and PySpark
• Designing ETL/ELT frameworks and scalable data models
• Working within Azure SQL environments (Managed Instance, Azure SQL DB, SQL Server VMs)
• Supporting large-scale healthcare data harmonization and normalization efforts
• Leveraging Docker and Azure Kubernetes Service (AKS) for automation workflows
• Driving performance optimization and scalability improvements
What They’re Looking For:
• 8+ years of enterprise data engineering experience
• Strong Databricks experience (Python + SQL/PySpark)
• Deep Azure SQL Server ecosystem experience
• Strong background in data modeling and ETL/ELT design patterns
• Experience with Docker and Azure Kubernetes Service
• Healthcare data integration experience strongly preferred
