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Azure Data Factory Jobs in Georgia (NOW HIRING)

ETL Developer

Atlanta, GA Β· On-site

$70 - $74/hr

Years of experience in ETL development with at least 1 year using Azure Data Factory. * Proficiency in SQL, Azure Synapse, Azure Data Lake, and Azure Functions (minimum of 5 years experience)

Software Engineer

Atlanta, GA Β· On-site

$72K - $121K/yr

Design and build scalable ETL/data pipelines in a medallion architecture using Azure Data Factory, Microsoft Fabric, Delta Lake, and Dataflow Gen2 * Develop and maintain dimensionally modeled data ...

Cloud Data Engineer (50576)

Atlanta, GA Β· On-site

$112K - $134K/yr

Proficiency in Azure Data Factory and its components Preferred Qualifications: * Experience with developing pipeline utilizing Azure Batch and Azure Data Factory * Familiarity with Apache Airflow or ...

Cloud Data Engineer (50576)

Atlanta, GA Β· On-site

$112K - $134K/yr

Proficiency in Azure Data Factory and its components Preferred Qualifications: * Experience with developing pipeline utilizing Azure Batch and Azure Data Factory * Familiarity with Apache Airflow or ...

Lead Data Engineer

Atlanta, GA Β· On-site

$98K - $129K/yr

... Azure Data Factory, Databricks, PySpark, Python, and associated services. - Demonstrated leadership experience in managing technical teams and driving successful project outcomes. - Strong problem ...

Required : β€’ Minimum five years of recent experience managing data operations, including data pipeline monitoring and incident response, with strong knowledge of Azure Data Factory, Azure ...

Lead Data Engineer

Atlanta, GA Β· On-site

$98K - $129K/yr

Requirements:** - Expert years of hands-on experience in Data Engineering across On-Premises and Cloud-based platforms. - Proficiency in Azure Data Factory, Databricks, PySpark, Python, and ...

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Data Engineer

Atlanta, GA Β· On-site

$110K - $132K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Data Engineer

Alpharetta, GA Β· On-site

$129K/yr

Automate workflows and data integration processes using Azure Data Factory, Microsoft Fabric, Logic Apps, APIs, and other relevant tools. Pipeline & Dataflow Development Continuously monitor and ...

Data Engineer

Atlanta, GA Β· On-site

$110K - $132K/yr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics, Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

Showing results 41-60

Azure Data Factory information

See Georgia salary details

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How much do azure data factory jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for azure data factory in Georgia is $49.31, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $55.43 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 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 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 Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

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, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

What are the most commonly searched types of Azure Data Factory jobs in Georgia?

The most popular types of Azure Data Factory jobs in Georgia are:

What job categories do people searching Azure Data Factory jobs in Georgia look for?

The top searched job categories for Azure Data Factory jobs in Georgia are:

What cities in Georgia are hiring for Azure Data Factory jobs?

Cities in Georgia with the most Azure Data Factory job openings:

Infographic showing various Azure Data Factory job openings in Georgia as of September 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $102,573 per year, or $49.3 per hour.

ETL Developer

Atlanta, GA β€’ On-site

Caresoft Inc.
IT ServicesΒ β€’Β 51 - 200 employees

$70 - $74/hr

Contractor

Re-posted 7 days ago


Job description

Title:  ETL Developer 
Duration : Long Term
Location: Atlanta, GA 30303 (Hybrid)

 
Note: 
Local Candidates Only - Onsite visits to the office will be required 1-2 times per month.
 
Skills:
• Bachelor’s degree in Computer Science, Information Systems, or related field. 
• Years of experience in ETL development with at least 1 year using Azure Data Factory.
• Proficiency in SQL, Azure Synapse, Azure Data Lake, and Azure Functions (minimum of 5 years experience).
• Experience with CI/CD pipelines, Git, and DevOps practices (minimum of 5 years experience).
• Strong understanding of data modeling, data warehousing, and cloud architecture (minimum of 5 years experience).
• Microsoft Azure certifications (e.g., DP-203, AZ-900).
• Experience with Power BI, Databricks, or Python for data transformation.
• Familiarity with Agile methodologies and tools like JIRA or Azure Boards (minimum of 5 years experience).