Azure Data Engineer - Jersey City, NJ (2 days hybrid) - W2 Only / Any Visa EXCEPT H1Bs

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

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

Direct message the job poster from HYR Global Source Inc

Job Title: Azure Data Engineer

(Hybrid – 2 Days Onsite Required)

Job Type: Contract to hire / Full-Time

Job Description
We seek a highly skilled

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

• Build large-scale batch and real-time data pipelines using Azure cloud platform technologies.
• Design and implement high-performance data ingestion pipelines from multiple structured and unstructured sources using Azure Databricks.
• Lead the design and development of ETL, data integration, and migration solutions.
• Develop scalable and reusable frameworks for ingestion, processing, and transformation of data sets.
• Partner with data architects, analysts, engineers, and stakeholders to deploy enterprise-grade data platforms.
• Integrate end-to-end data pipelines — from source systems to target data repositories — ensuring high data quality, reliability, and consistency.
• Work with event-driven and streaming technologies for real-time data ingestion and processing.
• Support related project components including API integrations and search services.
• Evaluate tools and platforms based on performance and business requirements.
  

• Azure Data Factory
• Azure Databricks
• Azure Data Lake Storage (ADLS)
• Azure SQL Database and Data Warehouse
• Proven hands-on expertise in:
• Implementing and optimizing Azure cloud data solutions
• Performance tuning in the Databricks environment
• SQL, T-SQL, and/or PL/SQL
• Working knowledge of:
• Azure Storage Accounts
• Azure Data Catalog, Azure Data Analytics
• Logic Apps and Function Apps
• Familiarity with Agile methodology and tools like JIRA
• Experience handling end-to-end data ingestion projects in an Azure environment is preferred
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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