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Azure Data Factory Jobs (NOW HIRING)

Azure Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Dallas, TX / Tulsa, OK ( Onsite & In-Person Interview ) Top Mandatory Skills: 4 -7 years of hands-on experience in Data Engineering Azure Databricks/Azure Data Factory (Primary Skillset) Azure Data ...

Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Design and implement data pipelines using Azure Data Factory (ADF) and Azure Synapse Analytics. * Develop and optimize ETL/ELT processes for structured and semi-structured data. * Build and manage ...

Azure Data Architect

Boston, MA · On-site

$69 - $90/hr

Working with data technologies such as Azure Databricks, Azure Data Factory, and OpenAI Qualifications Job Requirements: 5-10 years of experience in data architecture Five plus years of working with ...

Azure Data Engineer

$117K - $140K/yr

Azure Data Engineer (Azure Data Factory & Azure Data Lake) We are seeking an experienced Azure Data Engineer responsible for designing, developing, and maintaining scalable data integration and data ...

Azure Data Engineer

Tulsa, OK · On-site

$99K - $119K/yr

Dallas, TX / Tulsa, OK (Onsite & In-Person Interview) Top Mandatory Skills: * 4-7 years of hands-on experience in Data Engineering Azure Databricks/Azure Data Factory (Primary Skillset) * Azure Data ...

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience with Azure Data Factory * Experience with PySpark * Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing) * Experience working within Retail ...

Azure Data Engineer

$117K - $140K/yr

Develop and maintain ETL processes using Azure Data Factory. * Write efficient and optimized SQL queries to extract, transform, and load data. * Work with relational databases to ensure data ...

Azure Data/Ops Architect

Dallas, TX · On-site

$63 - $82.25/hr

Experience with Azure Data Factory * Experience with PySpark * Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing) * Experience working within Retail ...

Azure Data Engineer

Memphis, TN · On-site

$102K - $122K/yr

Job Posting Minimum of 10+ years of experience in data engineering, with a focus on Azure Data Factory. Strong background in ETL processes, data integration, and data warehousing. Proficiency in ...

Senior Azure Data Engineer

$117K - $140K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Azure Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Azure Data Architect The Architect will own the Azure Data Services technical architecture: data ... Create a data factory, orchestrate data processing activities in a data-driven workflow, monitor ...

Azure Data Engineer

$117K - $140K/yr

Develop and maintain ETL processes using Azure Data Factory. * Write efficient and optimized SQL queries to extract, transform, and load data. * Work with relational databases to ensure data ...

Azure SQL Developer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

TSQL Programmer and Batch Developer (Using Azure Data Factory and Python Scripting) * Experience in Requirement Analysis, Strategic Analysis, Software Development Fundamentals, Design, Development ...

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Azure Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Azure Data Engineer (Azure Data Factory & Azure Data Lake) Overview / Summary We are seeking an experienced Azure Data Engineer responsible for designing, developing, and maintaining scalable data ...

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Azure Data Factory information

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$11

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How much do azure data factory jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for azure data factory in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is an Azure Data Factory job?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

Is ADF better than SSIS?

Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) are both data integration tools, but ADF is a cloud-based service optimized for large-scale, cloud-native data workflows, while SSIS is an on-premises tool suited for traditional ETL processes. For jobs involving cloud data movement, ADF offers better scalability and integration with Azure services, whereas SSIS is preferred for on-premises environments and complex transformations requiring local resources.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals with skills in this tool are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related Azure services enhances job prospects in data engineering and analytics roles.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is ADF difficult to learn?

Azure Data Factory (ADF) is a data integration service that requires understanding of data workflows, pipelines, and cloud-based tools. While it has a learning curve for beginners, familiarity with SQL, data transformation concepts, and cloud environments can help accelerate the learning process. Many users find that hands-on practice and official documentation make mastering ADF achievable within a reasonable timeframe.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, enabling efficient data processing and analytics. Knowledge of data integration, ETL processes, and familiarity with Azure environment are important for working with Azure Data Factory.
More about Azure Data Factory jobs
What cities are hiring for Azure Data Factory jobs? Cities with the most Azure Data Factory job openings:
What are the most commonly searched types of Azure Data Factory jobs? The most popular types of Azure Data Factory jobs are:
What states have the most Azure Data Factory jobs? States with the most job openings for Azure Data Factory jobs include:
Infographic showing various Azure Data Factory job openings in the United States as of June 2026, with employment types broken down into 10% As Needed, 75% Full Time, 3% Part Time, 6% Temporary, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

$105K - $126K/yr

Full-time

Posted 9 days ago


Job description

Role : Azure Data Engineer
Location : Dallas, TX / Tulsa, OK ( Onsite & In-Person Interview )

Top Mandatory Skills:
4 -7 years of hands-on experience in Data Engineering
Azure Databricks/Azure Data Factory (Primary Skillset)
Azure Data Lake (secondary skillset)
Teradata
Nice to have:
Databricks Certification
Minimum Requirements:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
5+ years of experience in software development (Agile, DevOps), designing, developing, and implementing large-scale applications or data engineering solutions.
5+ years of data analytics experience using SQL and working with data platforms like Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer.
5+ years of cloud development and data lake experience, primarily in Microsoft Azure (EventHub, Data Factory, Databricks, Blob Storage, Power BI, Azure Functions, etc.)