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Freelance 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

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

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

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

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

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

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

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

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

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

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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Freelance Azure Data Engineer information

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How much do freelance azure data engineer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for freelance azure data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What does a Freelance Azure Data Engineer do?

A Freelance Azure Data Engineer is a professional who designs, builds, and maintains data solutions on Microsoft Azure for various clients or organizations on a contract or project basis. Their responsibilities include developing data pipelines, managing data storage, ensuring data security, and optimizing data processes using Azure services like Azure Data Factory, Azure SQL Database, and Azure Databricks. They often work independently, collaborating with clients to understand requirements and deliver scalable, cloud-based data solutions. This role requires strong knowledge of cloud computing, data engineering best practices, and Microsoft Azure's suite of data tools.

What is the difference between Freelance Azure Data Engineer vs Azure Data Analyst?

AspectFreelance Azure Data EngineerAzure Data Analyst
CredentialsAzure certifications, SQL, data engineering skillsAzure certifications, Power BI, data analysis skills
Work EnvironmentProject-based, remote or on-site, client-specificProject-based or full-time, remote or on-site, client or internal teams
Industry UsageUsed across industries for building data pipelines and infrastructureUsed for interpreting data, creating reports, and visualizations

Freelance Azure Data Engineers focus on designing and implementing data infrastructure using Azure, while Azure Data Analysts primarily analyze data and create visual reports. Both roles require Azure certifications but serve different functions in data management and analysis.

What are some common challenges faced by Freelance Azure Data Engineers when working with multiple clients?

Freelance Azure Data Engineers often face challenges such as managing diverse client requirements, adapting to different data architectures, and ensuring data security across various environments. Balancing multiple projects can require strong time management and communication skills, especially when clients have overlapping deadlines or use different Azure services. Effective documentation and proactive communication with client teams are essential to align expectations and deliver consistent, high-quality solutions.

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

To thrive as a Freelance Azure Data Engineer, you need expertise in data modeling, ETL development, and a strong grasp of cloud data architectures, typically supported by a degree in computer science or related fields. Familiarity with Microsoft Azure data services (such as Azure Data Factory, Synapse Analytics, and Azure SQL Database), proficiency in SQL, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top freelancers in this role. These competencies are crucial for delivering scalable, efficient, and reliable data solutions that meet diverse client needs in dynamic project environments.
More about Freelance Azure Data Engineer jobs
What cities are hiring for Freelance Azure Data Engineer jobs? Cities with the most Freelance 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 Freelance Azure Data Engineer jobs? States with the most job openings for Freelance Azure Data Engineer jobs include:
Infographic showing various Freelance Azure Data Engineer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
Azure Data Engineer

Azure Data Engineer

RIT Solutions, Inc.

Sunrise, FL • On-site

$109K - $131K/yr

Other

Re-posted 12 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