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Freelance Microsoft Azure Data Engineer Jobs (NOW HIRING)

Data Engineer

Dallas, TX

$113K - $136K/yr

... Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps and Power BI. 5. Combination of Development, Administration ...

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Role Summary We are seeking an experienced Data Engineer Lead to join our onshore team and drive the design, development, and optimization of enterprise data solutions using Microsoft Azure and ...

Data Engineer | ONSITE

Dallas, TX

$54.75 - $67.75/hr

... Microsoft Azure) including Azure EventHub, Azure Minimum Qualifications • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or ...

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 ...

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 ...

Azure Data Engineer- onsite

Charlotte, NC · Hybrid

$106K - $128K/yr

... Microsoft Fabric ecosystem. The resource will design the Medallion architecture, ensuring a ... Azure Data Engineer Associate is strongly preferred. Soft Skills: Ability to lead architectural ...

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 ...

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 ...

Sr. Data Engineer | ONSITE

Dallas, TX

$54.75 - $67.75/hr

... Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps o Scripting: Python, Spark, Unix, SQL Minimum ...

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... with Microsoft Fabric. Part time telecommuting 2 days per week. Job location: Charlotte, NC. To apply, please visit and select the Job Title: Azure Data Engineer. Alternatively, please send your ...

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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 Jun 11, 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, and why are they important?

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:
What states have the most Freelance Microsoft Azure Data Engineer jobs? States with the most job openings for Freelance Microsoft Azure Data Engineer jobs include:
Infographic showing various Freelance Microsoft Azure Data Engineer job openings in the United States as of June 2026, with employment types broken down into 4% Locum Tenens, 4% Internship, 14% Full Time, 29% Part Time, 42% Temporary, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$113K - $136K/yr

Other

Posted 3 days ago


Job description

Data Engineer

Duration – Contract

Location – Dallas, TX

Only Local

Note: Second round interviews will be in person

Job description: Top 3 mandatory skills and experience: SQL, Python, PySpark; Nice to have skills and experience: API Development

Data Engineer - Azure Data Bricks

Description: This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

• Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions

• Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools

• Perform multiple aspects involved in the development lifecycle – design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support

• Provide technical leadership and collaborate within a team environment as well as work independently

• Be a part of a DevOps team that completely owns and supports their product

• Implement batch and streaming data pipelines using cloud technologies

• Leads development of coding standards, best practices and privacy and security guidelines

• Mentors others on technical and domain skills to create multi-functional teams

All you'll need for success Minimum Qualifications- Education & Prior Job Experience

1. Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training

2. 3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions

3. 3 years Data Engineering experience using SQL

4. 2 years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps and Power BI.

5. Combination of Development, Administration & Support experience in several of the following tools/platforms required:

a. Scripting: Python, PySpark, Unix, SQL

b. Data Platforms: Teradata, SQL Server

c. Azure Data Explorer. Administration skills are a plus

d. Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Power Apps, and Azure Functions

e. CI/CD: GitHub, Azure DevOps, Terraform

f. BI Analytics Tool Stack - Cognos, Power BI

Preferred Qualifications- Education & Prior Job Experience

1. 5 years of software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions.

2. 3+ years of Data Analytics experience using SQL

3. 3+ years full-stack development experience, preferably in Azure

4. 3+ years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps, and Power BI.

5. 1+ years of FAST API experience is a plus

6. Airline Industry Experience

7. Skills, Licenses & Certifications

8. Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers.

9. Azure Development Track Certification (preferred)

10. Spark Certification (preferred)