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Azure Data Factory Jobs in Georgia (NOW HIRING)

ETL Developer

Atlanta, GA · On-site

$49 - $64.25/hr

Client is seeking a skilled ETL Programmer with hands-on experience in Azure Data Factory (ADF) to design, develop, and maintain robust data pipelines and integration solutions. Key Responsibilities

... Azure Data Factory, Databricks, Integration Runtime Services • Extensive hands-on expertise in SQL, SQL Analytics, T-SQL, Python or Scala • Experience working on performance tuning and ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Design and deploy batch and streaming data pipelines u * sing Databricks, Snowflake, and Azure Data Factory. * Write ETL/ELT workflows using Python, PySpark, and advanced SQL for large-scale datasets.

New

ETL Tester/Azure

Atlanta, GA · On-site

$70 - $90/hr

Work with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and other Azure services. * Automate test cases using tools like PyTest, Selenium, or PowerShell (optional). * Maintain test ...

New

Data Architect

Atlanta, GA · On-site

$62.25 - $80/hr

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:

Data Solutions Engineer

Atlanta, GA

$110K - $132K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory, and related tools * Build scalable, reliable ETL pipelines to support enterprise business ...

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory, and related tools * Build scalable, reliable ETL pipelines to support enterprise business ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

... Azure Data Factory, Event Hubs, Blob Storage. • Prototype agentic AI workflows using orchestration frameworks. Qualifications : Required : • 10+ years experience in enterprise data architecture ...

Data Warehousing and Business Intelligence BI development leveraging the Microsoft SQL Server 2014+. Needs to be an expert in T-SQL SSIS and use of Stored Procedures Azure Data Factory, SQL VMs ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

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:

CJCC ETL Developer

Atlanta, GA · On-site

$49 - $64.25/hr

Responsibilities : • Design and implement ETL processes using Azure Data Factory, Data Flows, and Mapping Data Flows. • Integrate data from various sources including SQL Server, Blob Storage ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

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:

... or Azure (Data Factory, Synapse Analytics, Data Lake). • Deep understanding of modern data architectures (e.g., Data Mesh, Data Lakes, Data Warehouses), and best practices for designing scalable ...

ETL Developer

Atlanta, GA · 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)

Showing results 21-40

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 3, 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,573 per year, or $49.3 per hour.

ETL Developer

campus4tech

Atlanta, GA • On-site

$49 - $64.25/hr

Contractor

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


Job description

Job Title: ETL Developer
Job Location: Atlanta, GA
Job Mode: Hybrid (Onsite visits to the office will be required 1-2 times per month)
Contract Duration: 5 Months
Note: W2 and C2C candidates can apply for this role
Local Candidates are preferred
Must Have:
• Bachelor's degree in Computer Science, Information Systems, or related field.
• 3+ 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).
Client is seeking a skilled ETL Programmer with hands-on experience in Azure Data Factory (ADF)to design, develop, and maintain robust data pipelines and integration solutions.
Key Responsibilities
  • Design and implement ETL processes using Azure Data Factory,Data Flows, and Mapping Data Flows.
  • Integrate data from various sources including SQL Server, Blob Storage, APIs, and third-party systems.
  • Develop and maintain data pipelines and data ware houses in Azure.
  • Monitor and troubleshoot ETL jobs to ensure data quality and performance.
  • Collaborate with analysts, and business stakeholders to understand data requirements.
  • Implement data governance, security, and compliance best practices.
  • Automate data workflows and optimize performance for large-scale data processing.