Thunderhawk Technology Partners
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer in Hamilton, NJ (4 days onsite) with a contract length of "unknown" and a pay rate of "unknown." Key skills include Azure Data Services, Databricks, PySpark, Python, SQL, and experience with Snowflake and data governance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Hamilton Township, NJ
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Storage #Delta Lake #Python #PySpark #Cloud #Azure #Scala #Data Engineering #Databricks #Azure Data Factory #ADF (Azure Data Factory) #Data Pipeline #Snowflake #SQL (Structured Query Language) #Spark (Apache Spark) #Data Architecture #Data Governance
Role description
Azure Data Engineer
Location: Hamilton, NJ (4 days onsite)
Job Summary
We are seeking a hands-on Azure Data Engineer to design, build, and optimize modern data platforms supporting analytics and AI initiatives. This role partners closely with technology and business teams to deliver scalable, high-performance data solutions.
Responsibilities
• Design and develop data pipelines using Azure Data Services and Databricks.
• Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric.
• Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage.
Required Skills
• Strong experience in Azure Data Engineering.
• Hands-on expertise with Databricks, PySpark, Python SQL.
• Experience with Azure Fabric, Snowflake, and modern data architectures.
• Solid understanding of cloud data pipelines, performance tuning, and data governance.
• Strong communication and stakeholder collaboration skills.
Azure Data Engineer
Location: Hamilton, NJ (4 days onsite)
Job Summary
We are seeking a hands-on Azure Data Engineer to design, build, and optimize modern data platforms supporting analytics and AI initiatives. This role partners closely with technology and business teams to deliver scalable, high-performance data solutions.
Responsibilities
• Design and develop data pipelines using Azure Data Services and Databricks.
• Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric.
• Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage.
Required Skills
• Strong experience in Azure Data Engineering.
• Hands-on expertise with Databricks, PySpark, Python SQL.
• Experience with Azure Fabric, Snowflake, and modern data architectures.
• Solid understanding of cloud data pipelines, performance tuning, and data governance.
• Strong communication and stakeholder collaboration skills.
