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Freelance Microsoft Azure Data Engineer Jobs (NOW HIRING)

THE PRUITT GROUP LLC

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 ...

Centstone

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 ...

Scadea

Sr. Data Engineer-Azure Databricks

Houston, TX

$109K - $131K/yr

Azure Data Engineer Associate (DP-203) o Microsoft Azure Fundamentals (AZ-900) or equivalent foundational Azure knowledge is required at a minimum.' * Alteryx Conversion: Familiarity with Alteryx ...

THE PRUITT GROUP LLC

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 ...

DATAMAXIS

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 ...

Sogeti

Senior Azure Data Engineer

Addison, TX · On-site

$102K - $139K/yr

Required Skills 5+ years of hands-on data engineering experience in the Microsoft Azure ecosystem. Strong SQL and data modeling fundamentals. Production experience with Azure Data Factory, Azure ...

InstantServe LLC

Azure Data Engineer

$117K - $140K/yr

Azure Data Engineer Location: Remote We are seeking an experienced Azure Data Engineer to design, build, and maintain scalable data solutions in Azure. The role involves working with data pipelines ...

Prophecy Technologies

Azure Data Engineer

Chicago, IL · On-site

$56.75 - $70.25/hr

Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data ...

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Hands-on experience using Microsoft SQL Servers, Visual Studio, SQL Server Analysis Services (SSAS ... Azure Data Engineer Associate Certification) preferred * Minimum 3 years of experience working on ...

Embtel Inc

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

... 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 ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities * Design and implement ETL pipelines ... Strong expertise in: o Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks) o Azure ...

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All JobsMicrosoft Azure Data Engineer JobsFreelance Microsoft Azure Data Engineer Jobs

Freelance Microsoft Azure Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Aug 9, 2026, the average yearly pay for freelance 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 does a freelance Microsoft Azure Data Engineer do?

A Freelance Microsoft Azure Data Engineer designs, builds, and manages data solutions using Microsoft Azure cloud services. They are responsible for creating and maintaining data pipelines, integrating various data sources, and ensuring the reliability, security, and scalability of data systems. These engineers work on projects such as data migration, real-time analytics, and data warehousing, often collaborating with clients to tailor solutions to specific business needs. As freelancers, they typically handle multiple clients or projects and are expected to stay current with Azure's evolving technologies.

What is the difference between Freelance Microsoft Azure Data Engineer vs Freelance AWS Data Engineer?

AspectFreelance Microsoft Azure Data EngineerFreelance AWS Data Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsAWS Certified Data Analytics, AWS certifications
Work EnvironmentAzure cloud platform, Microsoft ecosystemAWS cloud platform, Amazon ecosystem
Industry UsageOrganizations using Microsoft Azure infrastructureOrganizations using Amazon Web Services infrastructure
Common Search/ComparisonClients seeking Azure-specific data solutionsClients seeking AWS-specific data solutions

The main difference between a Freelance Microsoft Azure Data Engineer and a Freelance AWS Data Engineer lies in the cloud platform specialization. Azure Data Engineers focus on Microsoft Azure services and certifications, working primarily with organizations that utilize Microsoft ecosystems. Conversely, AWS Data Engineers specialize in Amazon Web Services, catering to clients using AWS infrastructure. Both roles require similar data engineering skills but differ in platform expertise and industry usage.

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

Freelance Microsoft Azure Data Engineers often encounter challenges such as adapting quickly to different data architectures and security requirements across various clients. Balancing multiple projects can require excellent time management, as each client may use different Azure services, data sources, and deployment strategies. Additionally, freelancers must stay up-to-date with evolving Azure tools and best practices to provide effective solutions. Strong communication skills are essential for collaborating remotely with diverse teams and ensuring alignment on project goals and timelines.

What are the key skills and qualifications needed to thrive as a freelance Microsoft Azure Data Engineer?

To thrive as a Freelance Microsoft Azure Data Engineer, you need expertise in data engineering, SQL, data modeling, and a solid understanding of cloud computing, often supported by a relevant degree and Azure certifications. Familiarity with Microsoft Azure services (such as Azure Data Factory, Databricks, and Synapse Analytics), data pipeline tools, and scripting languages like Python or Scala is typically required. Strong problem-solving, communication, and project management skills help you deliver effective solutions and collaborate with diverse clients. These skills ensure you can design, implement, and maintain scalable data solutions that meet business needs in dynamic freelance environments.
More about Freelance Microsoft Azure Data Engineer jobs
What cities are hiring for Freelance Microsoft Azure Data Engineer jobs? Cities with the most Freelance 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:
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Freelance Microsoft Azure Data Engineer jobs near you
Infographic showing various Freelance Microsoft Azure Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. 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.

Data Engineer

THE PRUITT GROUP LLC

New Orleans, LA • On-site

$110K - $132K/yr

Contractor

Re-posted 10 days ago

Job description

We are looking for a talented and driven Data Engineer with strong expertise in Azure Data Factory and other Microsoft technologies to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining data pipelines, integration solutions, and data-centric applications. Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key to optimizing data processing, storage, and analysis.

Responsibilities:

  1. Design and Develop Data Pipelines: Partner with cross-functional teams to gather data requirements and create robust, scalable, and reliable data pipelines using Azure Data Factory and other Microsoft tools, ensuring high data quality.

  2. Data Integration: Consolidate data from diverse sources—including databases, APIs, and third-party platforms—into centralized data lakes or warehouses utilizing Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and related technologies.

  3. Data Transformation: Execute data transformation and cleansing processes to prepare data for analysis, reporting, and business intelligence applications.

  4. Data Modeling: Develop and implement data models and schemas that align with business needs and industry standards, promoting efficient data access for end-users and applications.

  5. Optimization and Performance Tuning: Regularly monitor and fine-tune data pipelines and processing tasks to enhance performance, reduce latency, and ensure accurate, timely data delivery.

  6. Data Security and Compliance: Enforce data security protocols, including encryption and access controls, to protect sensitive information and maintain compliance with data privacy regulations.

  7. Troubleshooting and Issue Resolution: Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold system performance and data accuracy.

  8. Collaboration and Documentation: Collaborate with data scientists, analysts, and other stakeholders to address data needs, while maintaining thorough documentation of pipelines, models, and integration workflows.

  9. Cloud Infrastructure Management: Oversee Azure cloud resources, monitor usage, and apply best practices for cost-effective infrastructure management.

  10. Continuous Learning and Improvement: Keep abreast of the latest Azure Data Factory developments and Microsoft technologies, integrating best practices and innovative solutions to continually enhance data engineering processes.

Requirements:

  1. A Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
  2. Demonstrated experience as a Data Engineer with a strong emphasis on Microsoft technologies, especially Azure Data Factory.
  3. Advanced skills in SQL, data modeling, and working with database platforms such as Azure SQL Database, Azure Synapse Analytics, and Cosmos DB.
  4. Hands-on experience designing and developing data pipelines using Azure Data Factory or comparable ETL/ELT tools.
  5. Solid understanding of cloud-based data storage and processing solutions within the Microsoft Azure ecosystem.
  6. Knowledge of data warehousing principles and data integration methodologies.
  7. Proficiency in programming languages like Python, C#, or Java for data manipulation and automation purposes.
  8. Familiarity with data security protocols and compliance standards related to data management.
  9. Strong analytical and problem-solving abilities with a keen attention to detail.
  10. Excellent communication and collaboration skills, capable of working effectively within cross-functional teams.
  11. Relevant Microsoft certifications (e.g., Azure Data Engineer Associate) are preferred.
  12. Experience with Microsoft Fabric is a plus but not required.