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Contract Microsoft Azure Data Engineer Jobs (NOW HIRING)

Senior Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Contract Experience Level: 10+ years of experience Job Overview We are seeking a highly skilled ... The ideal candidate will have strong hands-on experience with Databricks or Microsoft Fabric ...

Azure Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Azure Data Engineer Work Location & Reporting Address ... Denver, CO (Onsite) Contract duration (in months): 6-12 Job Details: Must Have Skills: * Azure Data ...

Azure Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data solutions on Microsoft Azure. The role requires deep hands on expertise with modern ingestion frameworks to ...

Azure Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Azure Data Engineer The Azure Data Engineer is responsible for building, implementing, and supporting Microsoft BI solutions to meet market and/or client requirements. They apply knowledge of ...

Azure Data Engineer- onsite

Charlotte, NC · Hybrid

$106K - $128K/yr

We are hiring Azure Data Engineer- onsite for a Contract To Hire position in Charlotte, NC Client ... Microsoft Fabric ecosystem. The resource will design the Medallion architecture, ensuring a ...

Azure Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Microsoft Certified: Azure Data Engineer Associate * Databricks Certified Data Engineer Associate or Professional Responsibilities: * Data Pipeline Development: * Create and manage scalable data ...

Azure Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Role: Azure Data Engineer Location: Bellevue, WA Duration: 6 months Azure Data Engineer Synapse ... Microsoft Power BI~Microsoft Fabric

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and ...

Azure Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data solutions on Microsoft Azure. The role requires deep hands on expertise with modern ingestion frameworks to ...

Azure Databricks Engineer

Frisco, TX · On-site

$51.50 - $64/hr

Azure Databricks Job Responsibilities: · Understand all concepts covered in Azure Data Engineer Associate, Azure Database Administrator Associate, Microsoft Azure Data Fundamentals and Power Bl Data ...

Azure Databricks Engineer

Berkeley Heights, NJ · On-site

$57.50 - $71.25/hr

Azure Databricks Job Responsibilities: · Understand all concepts covered in Azure Data Engineer Associate, Azure Database Administrator Associate, Microsoft Azure Data Fundamentals and Power Bl Data ...

Azure Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Microsoft Certified: Azure Data Engineer Associate * Databricks Certified Data Engineer Associate or Professional Responsibilities: * Data Pipeline Development: * Create and manage scalable data ...

Azure Data Engineer

$117K - $140K/yr

We are looking for an experienced Azure Data Engineer with strong Power BI expertise to design ... Work with Microsoft Fabric and OneLake for unified data management * Support and integrate AI/ML ...

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Contract Microsoft Azure Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do contract microsoft azure data engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for contract microsoft azure data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Contract Microsoft Azure Data Engineers when joining new projects?

Contract Microsoft Azure Data Engineers often encounter challenges such as quickly understanding existing data architectures, adapting to varying data governance standards, and integrating with diverse client teams. Since contract roles are typically project-based, engineers must rapidly familiarize themselves with the organization’s Azure environment, security protocols, and workflow tools. Strong communication and a proactive approach to documentation help streamline collaboration with permanent team members, ensuring smooth project delivery despite tight timelines.

What are the key skills and qualifications needed to thrive as a Contract Microsoft Azure Data Engineer, and why are they important?

To thrive as a Contract Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and proficiency with Azure data services, typically supported by a degree in computer science or a related field. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and relevant Azure certifications (like Azure Data Engineer Associate) are highly valued. Strong problem-solving, communication, and adaptability are essential soft skills for collaborating with stakeholders and addressing evolving project requirements. These skills ensure efficient data solutions, seamless cloud integration, and successful project delivery in dynamic enterprise environments.

What are Contract Microsoft Azure Data Engineers?

Contract Microsoft Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and manage data solutions using Microsoft Azure cloud services. They are responsible for developing data pipelines, integrating data from multiple sources, and ensuring data is stored securely and efficiently in the cloud. These engineers typically work with technologies like Azure Data Factory, Azure SQL Database, and Azure Databricks to support analytics and business intelligence needs. Their contract status means they may work for specific projects or short-term engagements rather than as permanent employees.

What is the difference between Contract Microsoft Azure Data Engineer vs Contract Data Engineer?

AspectContract Microsoft Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentCloud-based, Azure platform-focusedOn-premises or cloud, various platforms
Industry UsageOrganizations using Microsoft AzureOrganizations using diverse data platforms
Job FocusDesigning, building, and maintaining Azure data solutionsDeveloping data pipelines and managing data workflows

The Contract Microsoft Azure Data Engineer primarily focuses on designing and implementing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, a Contract Data Engineer may work across various environments, including on-premises or different cloud providers, with a broader scope of tools and platforms. The Azure Data Engineer role is ideal for those specializing in Microsoft Azure, while the Data Engineer role offers more flexibility across data environments.

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What job categories do people searching Contract Microsoft Azure Data Engineer jobs look for? The top searched job categories for Contract Microsoft Azure Data Engineer jobs are:
Senior Azure Data Engineer

Senior Azure Data Engineer

Damco Solutions

Hamilton, NJ • On-site

$113K - $136K/yr

Other

Posted 11 days ago


Job description

Job Title: Senior Azure Data Engineer
Location: Hamilton, NJ (Hybrid - 4 days onsite)
Employment Type: Contract
Experience Level: 10+ years of experience
Job Overview
We are seeking a highly skilled Senior Azure Data Engineer to design, build, and optimize modern data platforms in an enterprise Azure environment. The ideal candidate will have strong hands-on experience with Databricks or Microsoft Fabric (preferred), with Snowflake exposure as a plus.
This role focuses on developing scalable, secure, and high-performance data solutions that support analytics, reporting, and AI/ML-enabled workloads . The position offers the opportunity to work at the intersection of data engineering, analytics, and applied AI while collaborating with cross-functional business and technical teams.
Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines and data models using Microsoft Fabric, Databricks, or Snowflake
  • Architect and optimize lakehouse and data warehouse solutions for analytics and enterprise reporting
  • Implement data governance best practices , including data quality, metadata management, lineage, and access controls
  • Integrate Azure services such as Azure Data Factory (ADF), Synapse Analytics, Azure Functions, and Logic Apps
  • Enable seamless Power BI integration , including semantic models and enterprise dashboards
  • Build and maintain CI/CD pipelines and manage source control using Git-based DevOps workflows
  • Collaborate with analytics, business, and AI teams to deliver data-driven solutions
  • Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability
  • Support and implement machine learning workflows using Azure ML, Databricks ML , or open-source frameworks
  • Stay current with emerging technologies in data engineering, analytics, and AI
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems , or a related field
  • 10 years of hands-on experience in data engineering, analytics, or data platform development
  • Strong experience with at least one of the following platforms:
    • Databricks (Apache Spark, PySpark, Delta Lake, notebooks) - preferred
    • Microsoft Fabric (Lakehouse, Warehouse, Spark, Data Engineering pipelines, Power BI integration) - preferred
    • Snowflake
  • Advanced proficiency in SQL and Python (Scala or Java is a plus)
  • Strong understanding of Apache Spark and distributed data processing concepts
  • Experience with Azure Data Factory, Synapse Analytics , and related Azure services
  • Exposure to machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
  • Experience with Azure ML, Databricks ML , or similar ML platforms
  • Solid knowledge of Azure cloud services , DevOps practices , and CI/CD pipelines
Technical Skills
  • Advanced SQL and Python
  • Apache Spark (PySpark) and Delta Lake
  • Microsoft Fabric / Databricks / Snowflake
  • Azure Data Factory (ADF), Synapse Analytics, Logic Apps
  • Power BI , semantic models, and enterprise reporting
  • CI/CD pipelines , Git, and DevOps workflows
  • Applied ML and AI exposure using Azure or open-source tools
Soft Skills
  • Strong communication and stakeholder collaboration skills
  • Analytical mindset with excellent problem-solving abilities
  • Ability to work cross-functionally in fast-paced environments
  • High level of ownership, accountability, and adaptability to new technologies