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Azure Data Engineer Jobs in Georgia (NOW HIRING)

ACI Infotech

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:

NAVA Software Solutions

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Engineer Location: Atlanta GA - Hybrid / / Remote also ok Duration: 12 months Responsibilities * Strong exp in Azure Data Analytics having a thorough understanding of Azure Data Platform ...

R2 Technologies Corporation

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Engineer Location : Atlanta, GA Remote Duration : Long-Term We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful ...

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Architect level experience using Azure Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics, * Developer experience using Azure Databases: SQL databases, SQL servers, Azure Synapse ...

Purple Drive Technologies

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Collaboration Mentorship Work closely with data engineers, analysts, and business stakeholders to ... Azure Expertise Deep, hands-on experience with the Azure data ecosystem, including Azure Data ...

Qualibar

Data Engineer

Gainesville, GA · On-site

$85K/yr

We are seeking a Data Engineer with strong SQL and Azure data platform experience to support our data engineering and analytics initiatives. This role will focus on building and maintaining data ...

Sarian, Inc.

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Azure Data Engineer or Azure Solutions Architect certifications. * Architecture Design: Design and ... architect scalable and high-performance data solutions on Azure Databricks, including data ...

ACI Infotech

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and ... Azure DevOps,

GEI Consultants

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

GEI Consultants

Data Engineer

Atlanta, GA

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Paul Hastings

Senior Data Engineer

Atlanta, GA

$194K/yr

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

Accenture

Azure Data Architect

Atlanta, GA · On-site

$66.05 - $76.05/hr

Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment ... Azure AI Certification * Snowflake Certification * Databricks certification Compensation at ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Georgia

Azure Data Engineer information

See Georgia salary details

$37.6K

$109.5K

$149.9K

How much do azure data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for azure data engineer in Georgia is $109,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $116,100.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer, and why are they important?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What engineers make $300,000 a year?

Senior data engineers, including those working with cloud platforms like Azure, can earn $300,000 or more annually, especially with extensive experience, specialized skills in data architecture, and relevant certifications. High salaries are often found in large organizations or in roles requiring advanced expertise in big data, machine learning, and data pipeline management.

Is azure data engineer a good career?

Azure Data Engineer is a valuable career path involving designing and implementing data solutions using Microsoft Azure tools and services. It requires skills in data modeling, cloud computing, and familiarity with tools like Azure Data Factory and SQL, with certifications enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management across industries.

What is the salary of azure data engineer?

The average salary of an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Senior roles or those in high-demand regions may offer higher compensation.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in data architecture, and certifications. High compensation is often associated with leadership roles, large organizations, or those with expertise in big data, machine learning, and advanced analytics.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
What are the most commonly searched types of Azure Data Engineer jobs in Georgia? The most popular types of Azure Data Engineer jobs in Georgia are:
What are popular job titles related to Azure Data Engineer jobs in Georgia? For Azure Data Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Georgia look for? The top searched job categories for Azure Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Azure Data Engineer jobs? Cities in Georgia with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Georgia as of June 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $109,530 per year, or $52.7 per hour.
Azure Data Engineer

Azure Data Engineer

ACI Infotech

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 13 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.,)

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