AzureDataEngineer - Jersey City, NJ (2 Days Hybrid) - W2 Only / Any Visa EXCEPT H1Bs

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer in Jersey City, NJ, offering a contract-to-hire position with a pay rate of "unknown." Requires expertise in Azure Data Factory, Databricks, Data Lake, and SQL. Hybrid work with two days onsite.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
May 31, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Cloud #Data Ingestion #Logic Apps #Azure #Scala #Storage #Data Lake #Data Catalog #Azure SQL Database #"ETL (Extract #Transform #Load)" #Data Engineering #Jira #Azure SQL #Agile #ADF (Azure Data Factory) #Data Pipeline #Data Warehouse #Batch #Data Architecture #Data Integration #SQL (Structured Query Language) #ADLS (Azure Data Lake Storage) #Migration #API (Application Programming Interface) #Databricks #Azure Databricks #Azure cloud #Azure ADLS (Azure Data Lake Storage) #Data Quality #Azure Data Factory
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, HYR Global Source Inc, is seeking the following. Apply via Dice today! Job Title: Azure Data Engineer Location: Jersey City, NJ (Hybrid 2 Days Onsite Required) Job Type: Contract to hire / Full-Time Job Description: We seek a highly skilled Azure Data Engineer to join our data engineering team for a long term project in Jersey City, NJ. This hybrid role requires working onsite two days per week, collaborating with cross-functional teams to build scalable data pipelines and deploy robust Azure-based data solutions. The ideal candidate will have strong experience in Azure Data Factory, Databricks, and Azure Data Lake and a proven ability to build and optimize real-time and batch data pipelines. Responsibilities: β€’ Build large-scale batch and real-time data pipelines using Azure cloud platform technologies. β€’ Design and implement high-performance data ingestion pipelines from multiple structured and unstructured sources using Azure Databricks. β€’ Lead the design and development of ETL, data integration, and migration solutions. β€’ Develop scalable and reusable frameworks for ingestion, processing, and transformation of data sets. β€’ Partner with data architects, analysts, engineers, and stakeholders to deploy enterprise-grade data platforms. β€’ Integrate end-to-end data pipelines - from source systems to target data repositories - ensuring high data quality, reliability, and consistency. β€’ Work with event-driven and streaming technologies for real-time data ingestion and processing. β€’ Support related project components including API integrations and search services. β€’ Evaluate tools and platforms based on performance and business requirements. Required Skills: β€’ Azure Data Factory β€’ Azure Databricks β€’ Azure Data Lake Storage (ADLS) β€’ Azure SQL Database and Data Warehouse β€’ Proven hands-on expertise in: β€’ Implementing and optimizing Azure cloud data solutions β€’ Performance tuning in the Databricks environment β€’ SQL, T-SQL, and/or PL/SQL β€’ Working knowledge of: β€’ Azure Storage Accounts β€’ Azure Data Catalog, Azure Data Analytics β€’ Logic Apps and Function Apps β€’ Familiarity with Agile methodology and tools like JIRA β€’ Experience handling end-to-end data ingestion projects in an Azure environment is preferred Follow us on LinkedIn -