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Senior Microsoft Azure Data Engineer Jobs (NOW HIRING)

Azure Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Senior Azure Data Analyst A senior Azure Data Analyst with extensive experience working with the ... Microsoft Certified: Azure Data Engineer Associate * Databricks Certified Data Engineer Associate ...

Azure Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Azure Data Engineer (Azure Data Factory & Azure Data Lake) Overview / Summary We are seeking an ... using Microsoft Azure services. The ideal candidate will have expertise in Azure Data Factory ...

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/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

Sunrise, FL · On-site

$109K - $131K/yr

senior (1 2 + years ) Azure Data Analyst with extensive experience working with the Azure Data ... Microsoft Certified: Azure Data Engineer Associate * Databricks Certified Data Engineer Associate ...

Azure Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... Microsoft's Azure platform. This position is responsible for working with the existing team to ... A Data Engineer should be comfortable working within a core team, occasionally interfacing with ...

Azure Data Engineer

$56.25 - $69.75/hr

Design and implement scalable data platforms using Azure (ADLS, Azure SQL, Microsoft Fabric ... Implement CI/CD pipelines and DevOps practices using Azure DevOps, GitHub, Repo. * Ensure data ...

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

Exposure to Microsoft Fabric is preferred but not required. This role will focus on supporting data ... Collaborate with senior engineers on ETL design, optimization, and performance tuning . * Perform ...

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

Exposure to Microsoft Fabric is preferred but not required. This role will focus on supporting data ... Collaborate with senior engineers on ETL design, optimization, and performance tuning . * Perform ...

Sr. Azure Data Engineer

Northbrook, IL · On-site

$116K - $139K/yr

They are seeking a Senior Azure Data Engineer to leverage their expertise in data modeling and ETL processes to develop scalable analytics solutions on Microsoft Fabric while ensuring alignment with ...

Azure Data Engineer

$56.25 - $69.75/hr

Azure Data Engineer @ Remote Tech Stack: Azure Cloud Azure Data Factory Azure Synapse Azure ... We are looking for a Senior Data Engineering to assist with designing and building out silver/gold ...

Azure Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

... Microsoft Azure Cloud and services experience. Qualifications : Required : • Synapse • SQL ... PySpark • Fabric • Data EngineeringData Warehouse • Work across Fabric workloads: COSMSO ...

Azure Data Engineer

$117K - $140K/yr

The Senior Azure Cloud Engineer will be responsible for designing, deploying, and maintaining our Azure Data pipelines. You will develop, optimize, and maintain data pipelines as well as support data ...

Azure Data Engineer

$117K - $140K/yr

The Senior Azure Cloud Engineer will be responsible for designing, deploying, and maintaining our Azure Data pipelines. You will develop, optimize, and maintain data pipelines as well as support data ...

Azure Data Engineer

$117K - $140K/yr

The Senior Azure Cloud Engineer will be responsible for designing, deploying, and maintaining our Azure Data pipelines. You will develop, optimize, and maintain data pipelines as well as support data ...

Azure Data Engineer

$117K - $140K/yr

The Senior Azure Cloud Engineer will be responsible for designing, deploying, and maintaining our Azure Data pipelines. You will develop, optimize, and maintain data pipelines as well as support data ...

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Senior Microsoft Azure Data Engineer information

See salary details

$81K

$126.3K

$175K

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

As of Jul 6, 2026, the average yearly pay for senior microsoft azure data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Microsoft Azure Data EngineerData Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentPrimarily cloud-based, Azure platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning, building, and maintaining data solutions on AzureDeveloping data pipelines, databases, and ETL processes
Industry UsageUsed in organizations leveraging Azure cloud servicesUsed across various industries and cloud providers

The main difference is that a Senior Microsoft Azure Data Engineer specializes in designing and managing data solutions specifically on the Azure platform, often requiring Azure certifications. In contrast, a Data Engineer may work with various cloud providers or on-premises systems without a focus on Azure, handling broader data pipeline and database tasks across different environments.

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

To thrive as a Senior Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud architecture, and proficiency with Azure services, supported by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Synapse Analytics, Power BI, and relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are typically required. Strong problem-solving, communication, and project management skills distinguish top professionals in this role. These capabilities are essential for designing robust data solutions, ensuring data integrity, and effectively collaborating with stakeholders in complex cloud environments.

What are the most common challenges faced by Senior Microsoft Azure Data Engineers when designing cloud-based data solutions?

Senior Microsoft Azure Data Engineers often encounter challenges such as optimizing data pipeline performance, ensuring data security and compliance, and managing costs within cloud environments. Balancing scalability with efficiency, especially when dealing with large volumes of real-time data, requires a deep understanding of Azure services and best practices. Additionally, collaborating with data architects, analysts, and DevOps teams to integrate and maintain robust data solutions is a key aspect of the role. Staying updated with Azure’s rapidly evolving ecosystem is essential for long-term success.

What does a Senior Microsoft Azure Data Engineer do?

A Senior Microsoft Azure Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft Azure cloud services. They manage data pipelines, ensure data quality, and optimize storage and processing for large-scale data environments. These professionals also collaborate with other teams to implement best practices in data security, compliance, and performance, leveraging tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their expertise helps organizations make data-driven decisions and improve business outcomes.
More about Senior Microsoft Azure Data Engineer jobs
What cities are hiring for Senior Microsoft Azure Data Engineer jobs? Cities with the most Senior Microsoft Azure Data Engineer job openings:
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What job categories do people searching Senior Microsoft Azure Data Engineer jobs look for? The top searched job categories for Senior Microsoft Azure Data Engineer jobs are:
Infographic showing various Senior Microsoft Azure Data Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Azure Data Engineer

Azure Data Engineer

RIT Solutions

Sunrise, FL • On-site

$109K - $131K/yr

Other

Posted 10 days ago


Job description

Senior Azure Data Analyst

A senior Azure Data Analyst with extensive experience working with the Azure Data suite listed below. The client would like to see certifications.

Candidates must have recent capital markets/trading and/or hedge fund experience and excellent communication skills. Hot & moving fast!! *** Candidate Must Have's on a resume and for submittal: 1. How many years working with: Azure Data Analyst 2. How many years working with: Azure Data Factory (ADF) 3. How many years working with: Azure Databricks

(highlighted expertise)

4. How many years working with: Logic Apps 5. How many years working with: Capital Markets/Hedge Funds Technical Skills:
  • Programming & Tools:
    • 10+ years of experience in SQL, Python..Net is a plus.
    • 5+ years of experience in Azure cloud services, including:
      • Azure SQL Server
      • Azure Data Factory (ADF)
      • Azure Databricks (highlighted expertise)
      • Azure Data Lake Storage (ADLS)
      • Azure Key Vault
      • Azure Functions
      • Logic Apps
  • 5+ years of experience in GIT and deploying code using CI/CD pipelines.
  • Certifications (Preferred):
    • Microsoft Certified: Azure Data Engineer Associate
    • Databricks Certified Data Engineer Associate or Professional
  • Responsibilities:

    1. Data Pipeline Development:
      • Create and manage scalable data pipelines to collect, process, and store large volumes of data from various sources.
    2. Data Integration:
      • Integrate data from multiple sources, ensuring consistency, quality, and reliability.
    3. Database Management:
      • Design, implement, and optimize database schemas and structures to support data storage and retrieval.
    4. ETL Processes:
      • Develop and maintain ETL (Extract, Transform, Load) processes to ensure accurate and efficient data movement between systems.
    5. Data Warehousing:
      • Build and maintain data warehouses to support business intelligence and analytics needs.
    6. Performance Optimization:
      • Optimize data processing and storage performance for efficient resource utilization and quick data retrieval.
    7. Documentation:
      • Create and maintain comprehensive documentation for data pipelines, ETL processes, and database schemas.
    8. Monitoring and Troubleshooting:
      • Monitor data pipelines and systems for performance and reliability, troubleshooting and resolving issues as they arise.
    9. Technology Evaluation: