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Contract Microsoft Azure Data Engineer Jobs (NOW HIRING)

Jr. Data Engineer | ONSITE

Dallas, TX

$113K - $136K/yr

... Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. Combination of Development ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer Duration - Contract Location - Dallas, TX Only Local Note: Second round interviews ... Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, ...

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- 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

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 ...

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 ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key ... Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold ...

Experience with Azure Synapse, ADF, and Microsoft Fabric is highly valued, with an upcoming migration to Fabric planned. Key Responsibilities * Design, build, and maintain scalable data engineering ...

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Required Skills and Experience * 8+ years of overall experience in data engineering / data architecture. * 4+ years of hands-on experience as a Data Architect on Microsoft Azure. * Strong expertise ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key ... Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold ...

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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 Jun 13, 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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Azure Data & Development Architect

Azure Data & Development Architect

SunStone Consulting LLC

Harrisburg, PA • Remote

$65 - $84.75/hr

Full-time

Posted 13 days ago


Job description

SunStone is seeking an experienced technical leader to design, build, and operationalize end‑to‑end data solutions on Microsoft Azure while also delivering hands‑on development and automation across the Microsoft Power Platform and scripting ecosystems. This role blends cloud data architecture, data engineering, application development, and automation to enable real‑time analytics and reduce manual effort across multiple service lines.

Key Responsibilities

  • Design and deliver Azure data architecture: Lead the design and deployment of scalable, secure, and cost‑efficient data pipelines and analytics platforms on Azure (Data Factory, Synapse, Databricks, Event Hubs, Stream Analytics, Blob/ADLS).
  • Build data engineering solutions: Implement ETL/ELT pipelines, data models, and SQL‑based workflows to support operational systems and strategic analytics.
  • Power Platform development: Architect and develop Power Apps, Power Automate flows, and Power BI integrations to streamline business processes and surface analytics.
  • Automation and integration: Create robust PowerShell solutions and API integrations for cloud orchestration, administrative automation, and system-to-system connectivity.
  • Application development: Develop Python applications for web scraping, data ingestion, data science prototypes, and custom business tools.
  • Process optimization: Automate repetitive tasks using VBA and Python to reduce manual effort and improve accuracy.
  • Governance and best practices: Define and enforce data governance, security, monitoring, and CI/CD practices for data and automation pipelines.
  • Cross‑functional leadership: Collaborate with service line leaders, data engineers, analysts, and IT operations to translate business needs into technical solutions and mentor engineering teams.
  • Operational excellence: Establish observability, alerting, and runbooks for production data systems and automation workflows.

Required Qualifications

  • Experience: 5+ years in data engineering, cloud architecture, or software development with at least 3 years focused on Microsoft Azure data services.
  • Cloud skills: Hands‑on experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, ADLS/Blob Storage, and Azure networking/security patterns.
  • Data engineering: Strong SQL expertise and experience designing ETL/ELT pipelines, data modeling, and performance tuning.
  • Power Platform: Proven experience building Power Apps, Power Automate flows, and integrating Power Platform with Azure services.
  • Scripting and automation: Advanced PowerShell skills for automation and API integration; experience with CI/CD for infrastructure and code.
  • Programming: Proficient in Python for application development, data processing, and automation.
  • Process automation: Experience using VBA or Python to automate business workflows and reporting.
  • Soft skills: Strong communication, stakeholder management, and ability to lead technical design discussions and mentor engineers.

Preferred Qualifications

  • Azure certifications such as Azure Solutions Architect, Azure Data Engineer, or Power Platform Developer.
  • Familiarity with Databricks, Spark, or other big‑data processing frameworks.
  • Knowledge of data governance frameworks, metadata management, and data catalog tools.
  • Knowledge of the healthcare industry/data

Tools and Technologies

  • Cloud: Azure Data Factory, Azure Synapse, Azure Databricks, Event Hubs, ADLS/Blob Storage, Azure Functions.
  • Power Platform: Power Apps, Power Automate, Power BI.
  • Languages: SQL, Python, PowerShell, VBA.
  • DevOps: Git, Azure DevOps or GitHub Actions, CI/CD pipelines.
  • Monitoring: Azure Monitor, Log Analytics, Application Insights.