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Azure Data Engineer Jobs in Georgia (NOW HIRING)

Virtual Networx

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

DataFrames, Spark SQL,ETL, Databricks, ADF, Azure Data Factory, Job Requirement: Apache Spark ... Programming Proficiency * Strong coding skills in Python and SQL for developing robust ETL ...

Curant Health

Data Engineer II

Smyrna, GA · On-site

$100 - $125/hr

The ideal candidate has strong experience with SQL, C#, SSIS, Azure data technologies, and modern data engineering practices. This individual will work closely with technical and business partners to ...

Curant Health

Data Engineer II

Smyrna, GA · On-site

$114K - $137K/yr

The ideal candidate has strong experience with SQL, C#, SSIS, Azure data technologies, and modern data engineering practices. This individual will work closely with technical and business partners to ...

Dlapiper

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 Location: Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position ... Support DataBricks and Azure-based testing and quality monitoring workflows Required Qualifications

HRC Global Services

This role is ideal for a technically strong data engineering professional who has deep experience with Azure Databricks, Apache Spark, modern lakehouse architectures, and large-scale data pipelines

ACI Infotech

Lead Data Engineer

Atlanta, GA · 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 ...

Programmers.io

lead or architect

Atlanta, GA · On-site

$61 - $79.50/hr

Required Skills and Experience Experience 10 years in data engineering or architecture, with at least 4 years in a senior or architect role focused on cloud solutions.Azure Expertise Deep, hands-on ...

Rethink

Data Engineer (Azure)

Atlanta, GA · On-site +1

$110K - $132K/yr

About the Role We're seeking a highly skilled and motivated hands-on Data Engineer to design, build, and maintain our Microsoft Fabric Lakehouse as we migrate our Azure-Synapse enterprise data ...

BakerHostetler

Data Solutions Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure ... Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document ...

Apex Informatics

Data Network Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Technical Stack: • Microsoft Fabric • Azure Databricks • SQL Server / SQL Managed Instances ... Fabric Analytics Engineer or Azure Data Engineer Associate • Knowledge of CI/CD automation with ...

Guidehouse

Data Engineer

Atlanta, GA · On-site

$53K - $88K/yr

Support cloud-based data environments and services in AWS and Azure. * Assist with the ... Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high ...

Lazer Logistics

Data Engineer

Alpharetta, GA · On-site

$129K/yr

Automate workflows and data integration processes using Azure Data Factory, Microsoft Fabric, Logic ... Strong programming skills in Python and familiarity with additional languages such as Scala or Java ...

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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 Sep 9, 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 an Azure Data Engineer?

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 key skills and qualifications needed to thrive as an Azure Data Engineer?

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 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.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

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 September 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 100% In-person job distribution, with an average salary of $109,530 per year, or $52.7 per hour.

Data Engineer

Atlanta, GA • On-site

Virtual Networx
IT Services • 51 - 200 employees
Learn more about Virtual Networxexternal

$110K - $132K/yr

Other

Posted 6 days ago

Job description

Job Title :Data Engineer

Location:Atlanta, GA

Duration:12 months

Skills: DataFrames, Spark SQL,ETL, Databricks, ADF, Azure Data Factory,

Job Requirement:

Apache Spark Expertise

  • Deep understanding of Spark concepts, including RDDs, DataFrames, Spark SQL, and performance tuning, to efficiently process large-scale data on the Databricks platform.

Programming Proficiency

  • Strong coding skills in Python and SQL for developing robust ETL pipelines and data transformations within Databricks notebooks and jobs.

Delta Lake & Lakehouse Architecture

  • Experience working with Delta Lake for reliable, ACID-compliant data storage and familiarity with Lakehouse principles for unified analytics. Strong Working knowledge of Medallion Architecture. Time Travel.

ETL & Data Pipeline Development

  • Proven ability to design, build, and orchestrate scalable ETL pipelines for both batch and streaming data, ensuring data quality and reliability.

Databricks Platform Usage

  • Hands-on experience with Databricks notebooks, jobs, clusters, and workspace management for collaborative data engineering workflows.

Data Modeling & Advanced SQL

  • Ability to design efficient data models and write complex SQL queries for data analysis and transformation within Databricks

Cloud Platform Knowledge

  • . Understanding of cloud infrastructure (Azure or Google Cloud Platform) as it relates to Databricks deployments, including storage, networking, and security best practices.

Workflow Orchestration & Automation

  • Experience with orchestration tools (e.g., Databricks Lake flow, Airflow, or Azure Data Factory) to automate and schedule data workflows. Asset bundles

Collaboration & Version Control

  • Strong collaboration skills and experience using version control systems (such as Git) for code management and teamwork. Experience working with Git hub actions and using Git to store the code required for moving the data within Databricks environment

Skillset Requirements

  • Performance Optimization & Troubleshooting Ability to monitor, troubleshoot, and optimize Spark jobs and Databricks workflows for efficiency and cost-effectiveness. Al Proficiency Al Proficiency in Databricks /Data science

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