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Senior Microsoft Azure Data Engineer Jobs (NOW HIRING)

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Recent 4+ years of experience working as Sr. Data Engineer on Azure Cloud Platforms Work Experience ... Data Engineering on Microsoft Azure, etc.

Azure Data Engineer

$117K - $140K/yr

Required - Microsoft Certified: Azure Data Engineer Associate (or higher), Azure Data Factory, Job Summary: We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory ...

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

... a senior or architect role focused on cloud solutions.Azure Expertise Deep, hands-on experience ... Certifications Azure certifications such as DP-203 (Data Engineering on Microsoft Azure) or AZ-305 ...

Azure Data Engineer

Manhattan, NY

$60.75 - $75.25/hr

... Microsoft SQL Server (latest versions) - schema design, query optimization, and maintenance • ... Azure certification (Data Engineer Associate) is an advantage • Knowledge of Azure Synapse ...

New

Senior Azure Data Engineer

Springfield, IL · On-site

$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 ...

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Azure Data Architect - Healthcare client exp is must Location: Remote About the Role We are seeking ... engineering / data architecture. * 4+ years of hands-on experience as a Data Architect on Microsoft ...

Azure Data Engineer

Jersey City, NJ · On-site

$80 - $85/hr

Azure Data Engineer Location: Jersey City, NJ - Hybrid 07311 Duration: 12 months+ Summary: Designs and builds data solutions using Microsoft Azure technologies. Responsibilities : * Develop data ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Engineer Location : Atlanta, GA Remote Duration : Long-Term We are looking for an ... Technical Skills: 1. Microsoft Azure SQL 2. Azure as a platform 3. Data bricks 4. Delta Sharing 5. ...

Azure Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

Azure Data Engineer Location US # Positions 1 Experience (Years) 8 Category Information Technology ... Design and implement scalable data platforms using Azure (ADLS, Azure SQL, Microsoft Fabric)

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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 Jun 14, 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:
What are the most commonly searched types of Microsoft Azure Data Engineer jobs? The most popular types of Microsoft Azure Data Engineer jobs are:
What states have the most Senior Microsoft Azure Data Engineer jobs? States with the most job openings for Senior Microsoft Azure Data Engineer jobs include:
Infographic showing various Senior Microsoft Azure Data Engineer job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Azure Data Engineer + Microsoft Fabric

Tech Tammina LLC

Roswell, GA • On-site

$50.50 - $62.75/hr

Contractor

Posted 8 days ago


Job description

Role: Azure Data Engineer + Microsoft Fabric

Location: Roswell, GA (Hybrid)

Duration: 6 months Contract to Hire

Qualifications (Must-Have):

  • Minimum of 8–10 years of hands-on experience building data pipelines, data models, and supporting enterprise data warehouse solutions.
  • Hands-on experience with Microsoft Fabric for data pipelines, modeling, and analytics.
  • Proficiency with Microsoft Azure data services, including Azure Synapse Analytics.
  • Strong SQL, data modeling, and ETL/ELT development skills.
  • Experience working within a scaled agile framework for data engineering product delivery.
  • Microsoft Azure certifications in analytics technologies are a plus.
  • 4+ years of experience with ETL and cloud data technologies, including Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Logic Apps, Azure Functions, Azure Data Explorer, and Power BI (or equivalent platforms).
  • 4+ years of experience in big data scripting languages such as Python, SCOPE, or SQL.
  • 4+ years of experience in one scripting language for data retrieval and manipulation (e.g., SQL or KQL).