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Azure Data Factory Jobs in Georgia (NOW HIRING)

Azure Data Engineer

Atlanta, GA · 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:

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Strong exp in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project stakeholders ...

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Azure Data Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid * Architect level experience using Azure Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics,

Data Engineer

Gainesville, GA · On-site

$106K - $128K/yr

The ideal candidate will have hands-on experience with Azure Data Factory (ADF) , SQL performance tuning , data warehousing , and Power BI , with a strong understanding of modern ETL/ELT and data ...

lead or architect

Atlanta, GA · On-site

$61 - $79.50/hr

Lead Technical Implementation Spearhead the development of data pipelines and modeling layers using Azure services (Azure Data Factory, Synapse Analytics, ADLS Gen2), Databricks, and dbt.Data ...

Azure Databricks Lead

Atlanta, GA

$53 - $65.75/hr

... Data Factory and building scalable data pipelines on Azure The engineer will work closely with business Data Architects and crossfunctional teams to design develop and optimize data pipelines for ...

ETL Developer[hybrid]

Atlanta, GA · On-site

$49 - $64.25/hr

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 ...

PCA Data Engineer

Atlanta, GA

$110K - $132K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory, with a strong focus on data integration. You'll be part of a team that designs, builds, and operates ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid • Architect level experience using Azure Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics, • ...

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

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:

Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake Storage (ADLS) andAzure Databricks; * Develop ELT frameworks for ingesting and transforming structured ...

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 ...

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Azure Data Factory information

See Georgia salary details

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$49

$67

How much do azure data factory jobs pay per hour?

As of Jul 27, 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 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 highly in-demand data integration tool used by organizations to automate data workflows and manage data pipelines in cloud environments. Professionals with skills in Azure Data Factory, along with knowledge of cloud platforms and data engineering, are sought after as companies increasingly adopt cloud-based data solutions.

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 with hands-on practice and official documentation, mastering ADF is achievable.

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 is the salary in Azure Data Factory?

The salary for an Azure Data Factory professional varies based on experience, location, and role level, but typically ranges from $80,000 to $130,000 annually. Skilled professionals with certifications in Azure and data integration tools tend to earn higher salaries in this field.
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 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 July 2026, with employment types broken down into 90% Full Time, 4% Part Time, 1% Temporary, and 5% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $102,573 per year, or $49.3 per hour.
Azure Data Engineer

Azure Data Engineer

ACI Infotech

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 24 days ago


Job description

Role: Data Engineer
Duration: FULL TIME (Accepting H1B Transfer )
Location: Atlanta, GA - On-Site ( Hybrid)
Job Description
Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and produce detailed data design documents, help translate business requirements to Technical requirements, be a SME for Azure Cloud and Databricks, bring Industry best practices to RT
Technical Skills, tools:
  • Azure Cloud technologies:
    • Must Have: 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:
    • Must Have: Power BI, Power BI Premium,
  • Other MS tools:
    • Must Have: SSMS, SSIS, Visual Studio
  • Advanced Analytics/Data Scientists tools:
    • Must Have: Google Analytics, FireBase, RStudio Server, PyCharm
  • Programming Languages:
    • Must Have: SQL, JavaScript,
  • Agile tools:
    • Must Have: Azure DevOps,

Work Experience:
    • More than 10+ years of relevant experience in data engineering tools like Spark, Hadoop, Azure Data pipelines , Azure Data factory, Azure Data Lake Storage, Databricks, Delta Lake, Python, SQL Server, and experience with other cloud providers
    • Minimum 8 years of experience working in IT department with Data & Analytics responsibilities
    • 4+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,)
    • Expertise in creating streaming and batch workflows in Databricks Lakehouse using Pyspark and Spark SQL
    • Working experience with development and maintenance of data pipelines on the DataBricks platform in Azure
    • xpertise in creating parameterized streaming and batch data processing using Azure Synapse and Azure Data Factory
    • Experienced in delivering reporting solutions to stakeholders using tools like Power BI, Databricks SQL, Tableau and SSRS
    • Recent 4+ years of experience working as Sr. Data Engineer on Azure Cloud Platforms

Work Experience: (continued)
    • 4+ years of experience working on Data and Analytics projects in support of Marketing/Loyalty/Digital Customer Experience Use Cases
    • 2+ years of experience working with Google Analytics
    • 1+ years of experience working or at least exposure on any Customer Data Platform (e.g. Microsoft CI, Segment, Tealium, Treasure Data, Informatica, Exponea, SalesForce CDP, etc.,)
    • Experience working on Data & Analytics projects using Agile methodologies
    • Previous Retail, Convenience Store/Petroleum industry experience a plus
    • Previous experience working with Punchh Loyalty platform data is a huge plus

Education:
    • Masters or Bachelor's degree in Computer Science or Information technology with specialization in Data & Analytics, Data Science, Data Engineering or related fields.
    • Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,)
    • Any one of the Data & Analytics certifications (Azure Fundamentals AZ-900, DP-200: Implementing an Azure Data Solution, DP-201: Designing an Azure Data Solution, DP-203: Data Engineering on Microsoft Azure, etc.,)