

Smart IT Frame LLC
Azure Big Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Big Data Engineer on a contract basis in Philadelphia, PA (Hybrid – 4 days onsite). Requires 8+ years in Azure, expertise in Azure Databricks, PySpark, and Synapse Analytics, with a preferred healthcare background.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Philadelphia, PA
-
🧠 - Skills detailed
#Azure Databricks #Storage #Data Lake #Synapse #Spark (Apache Spark) #Python #SQL (Structured Query Language) #ADF (Azure Data Factory) #Databricks #Shell Scripting #Scripting #PySpark #Azure #Big Data #Azure Data Factory #Data Engineering #Spark SQL
Role description
Job Role: Azure Big Data Engineer
Location: Philadelphia, PA (Hybrid – 4 days onsite a week) - Local Candidates Only
Mode of Hiring: Contract
Req Skills: Azure Databricks + PySpark + Synapse Analytics + TIDAL Scheduler – Healthcare background
Key Responsibilities
Job description:
• Overall 8+ years of experience in Azure
• Hands on working experience with Azure technologies namely:
• Azure Databricks
• Azure Data Factory
• Synapse Analytics (dedicated SQL pool)
• Azure Data Lake Gen 2
• PySpark and Python
• Good experience and knowledge in scripting languages such as Python, PySpark, Spark SQL or Shell Scripting, etc.
• In-depth understanding of various storage services offered by Azure and TIDAL Scheduler.
Environments:
• Certification in Databricks, solution architecture, data engineering, and development in Azure is preferred.
• Minimum of 2 years of real project experience.
• Strong client-facing communication and facilitation skills.
• Good to have Healthcare background.
Job Role: Azure Big Data Engineer
Location: Philadelphia, PA (Hybrid – 4 days onsite a week) - Local Candidates Only
Mode of Hiring: Contract
Req Skills: Azure Databricks + PySpark + Synapse Analytics + TIDAL Scheduler – Healthcare background
Key Responsibilities
Job description:
• Overall 8+ years of experience in Azure
• Hands on working experience with Azure technologies namely:
• Azure Databricks
• Azure Data Factory
• Synapse Analytics (dedicated SQL pool)
• Azure Data Lake Gen 2
• PySpark and Python
• Good experience and knowledge in scripting languages such as Python, PySpark, Spark SQL or Shell Scripting, etc.
• In-depth understanding of various storage services offered by Azure and TIDAL Scheduler.
Environments:
• Certification in Databricks, solution architecture, data engineering, and development in Azure is preferred.
• Minimum of 2 years of real project experience.
• Strong client-facing communication and facilitation skills.
• Good to have Healthcare background.






