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Azure Data Engineer

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🇺🇸 Jersey city, New jersey, United States
Posted 29 May 2026

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Job description

Azure Data Engineer – Microsoft Fabric (W2 Contract)
Job Title:Azure Data Engineer – Microsoft FabricLocation:Remote / Hybrid / Onsite (USA)Job Type:Contract – W2 OnlyExperience Required:10+ YearsWork Authorization:USC, GC, GC-EAD, H4-EAD, TN, H1B Transfer AcceptedJob SummaryWe are seeking a highly skilled Azure Data Engineer with 10+ years of experience in designing and implementing enterprise-scale cloud data solutions using Microsoft Azure and Microsoft Fabric. The ideal candidate should have strong expertise in modern data engineering, big data processing, ETL/ELT frameworks, Lakehouse architecture, and real-time analytics platforms.The candidate must possess hands-on experience with Microsoft Fabric, OneLake, Azure Databricks, Synapse Analytics, Data Factory, and scalable cloud-native data platforms.Candidates with Microsoft Fabric Certifications are highly preferred.Required Skills & Qualifications
  • 10+ years of experience in Data Engineering and Cloud Data Platforms
  • Strong hands-on expertise in:
  • Microsoft Fabric
  • Fabric Data Engineering
  • Fabric Data Factory
  • Fabric Lakehouse
  • OneLake
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Data Lake Storage (ADLS Gen2)
  • Strong experience with:
  • Python
  • PySpark
  • SQL
  • Spark SQL
  • Delta Lake
  • Expertise in:
  • ETL/ELT Pipeline Development
  • Data Warehousing
  • Medallion Architecture
  • Dimensional Data Modeling
  • Data Migration & Modernization
  • Experience working with:
  • Real-time Streaming
  • Kafka
  • Event Hub
  • Stream Analytics
  • Strong knowledge of:
  • Data Governance
  • Microsoft Purview
  • RBAC & Security
  • Data Lineage
  • Data Quality Frameworks
  • Experience integrating Fabric with Power BI and enterprise reporting solutions
  • Hands-on experience with CI/CD pipelines using:
  • Azure DevOps
  • GitHub Actions
  • Terraform / ARM / Bicep
  • Experience working in Agile/Scrum environments
  • Excellent communication and stakeholder management skills

Preferred CertificationsThe following certifications are highly preferred:
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Microsoft Azure Solutions Architect Expert
  • Databricks Certified Data Engineer

Roles & Responsibilities
  • Design, build, and optimize scalable cloud-native data solutions using Azure and Microsoft Fabric
  • Develop enterprise-grade Lakehouse architectures and modern analytics platforms
  • Build high-performance ETL/ELT pipelines for structured and unstructured data
  • Implement secure and governed data platforms using Microsoft best practices
  • Collaborate with Architects, Data Scientists, BI Teams, and Business Stakeholders
  • Optimize data processing performance, scalability, and operational cost
  • Implement DevOps and Infrastructure-as-Code practices for deployment automation
  • Support cloud migration and modernization initiatives
  • Create reusable frameworks, standards, and best practices for data engineering teams

Nice to Have
  • Experience with Snowflake or Redshift
  • Exposure to AI/ML and Copilot-enabled analytics solutions
  • Knowledge of Data Mesh architecture
  • Experience in Banking, Healthcare, Retail, or Insurance domains
  • Kubernetes and containerized workload exposure

Why Join Us?
  • Opportunity to work on enterprise-scale Microsoft Fabric initiatives
  • Exposure to latest Azure cloud and modern analytics technologies
  • Long-term W2 Contract opportunity
  • Collaborative and innovation-driven environment
  • High visibility projects with Fortune 500 clients

Pay: $35.00 - $45.00 per hourWork Location: In person

Job details

EmployerSign in to view the employer name
LocationJersey city, New jersey, United States
Posted29 May 2026
SalaryNot specified
Work locationRemote / Hybrid / Onsite (USA)Job Type:Contract – W2 OnlyExperience Required:…
SponsorshipVisa Sponsored ✓
Categories
Information TechnologyEngineering and Technology

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