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Azure Data Factory Jobs (NOW HIRING)

Azure Data Engineer

Dallas, TX · On-site

$54.50 - $67.50/hr

* Strong hands-on experience with Azure Data Factory, Databricks and Azure Cloud services * Good knowledge in Blob Storage, ADLS, Azure Logic Apps, Key Vault * Ability to design Azure Data Factory (ADF ...

Azure Senior Data Lead

Redmond, WA · On-site

$71 - $92.75/hr

Microsoft Fabrico Strong hands on experience with Fabric Data Factory, Lakehouse, Warehouse, and ... Azure DevOps, YAML pipelines, and automated deployments Data Orchestration Strong experience with ...

Azure Data Expert

Boston, MA · On-site

$59.75 - $74.25/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 ...

Azure Sr. Data Lead

Jersey City, NJ · On-site

$66.25 - $86.25/hr

Key Responsibilities 1. Lead the end-to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, and python. 2. Design and develop efficient and ...

Azure Data Architect

Tampa, FL · On-site

$57.75 - $75.25/hr

Expert level Azure Data Lake Storage Azure Data Factory Azure Databricks Azure Synapse Python PySpark 12 months Remote Multiyear project Architect level Responsibilities: * Design and implement end ...

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 ...

Sr. Azure Data Engineer

Manhattan, NY · On-site

$60.75 - $75.25/hr

NYC, NY Duration: Long Term W2 Role The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI.

Azure Data Engineer

$117K - $140K/yr

The senior data engineer should have skills and experience building data analytics pipelines using Azure Data Lake Gen2 (Blob Storage), Azure Data Factory (Pipelines and Data Flows), Azure Data ...

Azure Data Engineer

Dallas, TX · On-site

$54.75 - $67.75/hr

* Strong hands-on experience with Azure Data Factory, Databricks and Azure Cloud services * Good knowledge in Blob Storage, ADLS, Azure Logic Apps, Key Vault * Ability to design Azure Data Factory (ADF ...

Azure Data Factory (ADF) Architect

Bellevue, WA · On-site

$71.75 - $93.50/hr

Job Title Technology Architect | Cloud Integration | Azure Data Factory (ADF) Work Location & Reporting Address Bellevue, WA 98006 Contract duration 6+ Months Interview Process (Is face to face ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Factory. · Build simple to complex pipelines, activities, Datasets & data flows · Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to ...

Azure Data Engr

Houston, TX · On-site

$52.50 - $65.25/hr

Azure Data Factory (ADF) Azure Databricks Python Spark SQL & PySpark Azure Synapse, Azure SQL, Azure DWH Azure Data Lake Storage / Analytics Azure Database Migration Services Knowledge in older ...

Azure Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Azure Data pipeline, Azure Data Factory * ETL Transformation & Process * PostgreSQL, CosmosDB Detailed * Talent should have more than 7 years of IT experience and very good knowledge and Data ...

Azure Data Architect

Dallas, TX · On-site

$63 - $82.25/hr

Job Title Extensive hands on experience with Azure Data Factory, Synapse architecture. Understand the overall Azure data landscape. Analyze the end-to-end Azure data flow. Analyze the existing Azure ...

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

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 ...

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Azure Data Factory information

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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.

$54.50 - $67.50/hr

Full-time

Posted 24 days ago


Job description


  • Strong hands-on experience with Azure Data Factory, Databricks and Azure Cloud services
  • Good knowledge in Blob Storage, ADLS, Azure Logic Apps, Key Vault
  • Ability to design Azure Data Factory (ADF) pipelines to automate end to end ETL workflows and enabling high performance data movement through seamless integration with Azure Blob Storage
  • Expertise in Databricks with PySpark, Spark SQL, and Delta Lake
  • Deep understanding of data modeling, ETL/ELT concepts, and data warehousing
  • Experience with Azure Data Lake Storage (ADLS)
  • Strong knowledge of SQL and performance tuning
  • Experience working in Agile/Scrum environments
  • Ability to design solutions independently and work with minimal supervision