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Azure Data Engineer Jobs (NOW HIRING)

Azure Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

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

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

Azure Data Engineer Location: Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be local to MA or NH) Duration: Long Term Contract Position Summary We are seeking a highly motivated ...

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Azure Data Engineer Location: Branchville, NJ, Charlotte, NC and Hartford CT Years of Experience: 7-10 Years Job Summary: We are seeking a highly skilled Data Engineer with a strong background in ...

Azure Data Engineer

Montague, NJ · On-site

$97K - $117K/yr

Azure Data Engineer Location: Branchville, NJ, Charlotte, NC and Hartford CT Years of Experience: 7 10 Years Job Summary: We are seeking a highly skilled Data Engineer with a strong background in ...

Azure Data Engineer

Skokie, IL · On-site

$115K - $138K/yr

Azure Data Engineer The client is looking for an Azure Data Engineer with experience designing and building data warehouses in Azure leveraging Microsoft Azure Cloud computing. This role involves ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Azure Data Engineer

Riverside, NJ · On-site

$115K - $138K/yr

Azure Data Engineer Location: Delran, NJ Duration: 12 months * 6+ years of total experience as a Data Engineer with very strong data engineering/data analytics skills. * Experience of the following ...

Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Azure Data Engineer: * 10+ years of strong experience in a large & complex application development environment, last 2 projects in investment banking or financial services industry and on data-heavy ...

Azure Data Engineer

Lake Zurich, IL · On-site

$116K - $140K/yr

HI Our client is looking for a Senior Azure Data Engineer in Forest Lake, IL . Below is the detailed requirement. Job positing Title: Senior Azure Data Engineer Location: Forest Lake, IL Required ...

Azure Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

zure Data Engineer Location: Redmond area / if remote, should work in PST time zone and IST overlapping Duration: Contract Description: * Expertise with Azure data services, such as Microsoft Fabric ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Azure Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

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

Azure Data Engineer

$117K - $140K/yr

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 Databricks , Oracle , and ...

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Azure Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do azure data engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for 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 is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
More about Azure Data Engineer jobs
What cities are hiring for Azure Data Engineer jobs? Cities with the most Azure Data Engineer job openings:
What are the most commonly searched types of Azure Data Engineer jobs? The most popular types of Azure Data Engineer jobs are:
What states have the most Azure Data Engineer jobs? States with the most job openings for Azure Data Engineer jobs include:
Infographic showing various Azure Data Engineer job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 1% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Azure Data Engineer

Azure Data Engineer

RIT Solutions, Inc.

Sunrise, FL • On-site

$109K - $131K/yr

Other

Posted 10 days ago


Job description

senior (1 2 + years ) 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: zure Data Analyst
2. How many years working with: zure 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:
Stay updated with emerging technologies and best practices in data engineering, evaluating and recommending