Thunderhawk Technology Partners
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is an Azure Data Engineer position in Hamilton, NJ, requiring 8-10 years of experience. It involves designing data pipelines with Azure services, Databricks, and ETL workflows using PySpark, Python, and SQL. Onsite work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 4, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Hamilton Township, NJ
-
🧠 - Skills detailed
#Storage #PySpark #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Cloud #ADF (Azure Data Factory) #Delta Lake #Spark (Apache Spark) #SQL (Structured Query Language) #Python #Azure Data Factory #Data Pipeline #Data Architecture #Data Governance #Scala #Snowflake #Data Engineering #Databricks #Azure
Role description
Azure Data Engineer
Location: Hamilton, NJ (4 days onsite) -- This is an onsite role. Remote is not an option.
Job Summary
We are seeking a hands-on Azure Data Engineer with 8-10 years of experience designing, building, and optimizing 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 and 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) -- This is an onsite role. Remote is not an option.
Job Summary
We are seeking a hands-on Azure Data Engineer with 8-10 years of experience designing, building, and optimizing 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 and 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.
