Thunderhawk Technology Partners

Azure Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with 8-10 years of experience, based in Hamilton, NJ (4 days onsite). Contract length is potential contract-to-hire, offering a pay rate of "unknown." Key skills include Azure Data Services, Databricks, PySpark, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 21, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Hamilton Township, NJ
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🧠 - Skills detailed
#Cloud #"ETL (Extract #Transform #Load)" #Databricks #Azure Data Factory #Data Architecture #Storage #Data Pipeline #AI (Artificial Intelligence) #Data Governance #Snowflake #PySpark #Spark (Apache Spark) #Python #ADF (Azure Data Factory) #SQL (Structured Query Language) #Azure #Data Engineering #Scala #Delta Lake
Role description
Role: Azure Data Engineer Need US Citizens or Permanent residents (GCs) for this role. This is a potential contract to hire opportunity. 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 hands-on 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. • Real experience with implementing AI use cases. • 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.