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Azure Data Factory Jobs (NOW HIRING)

Azure data factory

Texas City, TX · On-site

$47 - $58.50/hr

Any W2 Job Summary We are looking for a Senior Azure Data Factory (ADF) Developer with 10+ years of experience in Data Engineering, ETL development, and cloud-based data integration. The ideal ...

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Azure Data Engineer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

Primary skill- 1. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required 2. Designing and building of data pipelines using API ...

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 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 ...

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 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 ...

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 ...

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Azure Data Factory information

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How much do azure data factory jobs pay per hour?

As of Aug 5, 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?

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.

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.

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.

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 July 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure data factory

ISite Technologies Inc

Texas City, TX • On-site

$47 - $58.50/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Any W2

Job Summary

We are looking for a Senior Azure Data Factory (ADF) Developer with 10+ years of experience in Data Engineering, ETL development, and cloud-based data integration. The ideal candidate should have strong expertise in Azure Data Factory, Azure Data Lake, Azure SQL, Databricks, Synapse Analytics, and Azure DevOps, with experience designing scalable, secure, and high-performance data pipelines.

Key Responsibilities
  • Design, develop, and maintain enterprise-scale ETL/ELT solutions using Azure Data Factory (ADF).
  • Build and optimize data pipelines, Mapping Data Flows, Linked Services, Datasets, Triggers, and Integration Runtimes.
  • Integrate data from SQL Server, Oracle, Azure SQL Database, Azure Blob Storage, ADLS Gen2, REST APIs, SAP, and other enterprise systems.
  • Design scalable cloud-based data integration architectures on Microsoft Azure.
  • Develop data transformation logic using Azure Databricks, PySpark, and SQL.
  • Implement incremental data loading, CDC (Change Data Capture), and data migration strategies.
  • Optimize ETL performance and troubleshoot pipeline failures.
  • Work closely with business analysts, data architects, developers, and stakeholders to gather requirements.
  • Develop and optimize SQL queries, stored procedures, views, and data models.
  • Implement CI/CD pipelines using Azure DevOps and Git.
  • Monitor data pipelines and resolve production issues.
  • Ensure data quality, governance, security, and compliance standards.
  • Mentor junior developers and participate in code reviews and design discussions.
Required Skills
  • 10+ years of IT experience in Data Engineering, ETL, and Data Warehousing.
  • 5+ years of hands-on experience with Azure Data Factory (ADF).
  • Strong experience in Azure Data Lake Storage (ADLS Gen2).
  • Expertise in Azure SQL Database and SQL Server.
  • Strong SQL development and query optimization skills.
  • Experience with Azure Databricks and PySpark.
  • Knowledge of Azure Synapse Analytics.
  • Experience building Mapping Data Flows in ADF.
  • Experience with Azure Blob Storage.
  • Knowledge of REST API integration.
  • Experience with Azure DevOps, Git, and CI/CD pipelines.
  • Strong understanding of ETL/ELT concepts and Data Warehousing.
  • Experience with performance tuning and pipeline optimization.
  • Excellent analytical, troubleshooting, and communication skills.
Preferred Skills
  • Microsoft Azure Data Engineer certification (DP-203).
  • Experience with Power BI.
  • Experience with Snowflake or Microsoft Fabric.
  • Knowledge of Python scripting.
  • Experience with Delta Lake.
  • Familiarity with Agile/Scrum methodology.
  • Experience with Azure Key Vault and Azure Monitor.
Technologies
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS Gen2)
  • Azure SQL Database
  • SQL Server
  • Azure Synapse Analytics
  • Azure Databricks
  • PySpark
  • Azure Blob Storage
  • Azure DevOps
  • Git
  • Power BI
  • REST APIs
  • SQL
  • Python
  • Delta Lake
  • Microsoft Fabric (Preferred)