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Azure Data Engineer Jobs in Georgia (NOW HIRING)

Cloud Data Platform Engineer

Atlanta, GA

$53.50 - $71.75/hr

Cloud Data Platform Engineer Location: SF or Cupertino, California, Dallas Texas, Hopkins, MN ... Duration: 8 Months contract role As an Analytics platform engineer supporting Azure & AWS ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data ... Build and deploy serverless data solutions using Azure Functions for event-driven processing and ...

Data Engineer

Atlanta, GA

$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 ...

Data Engineer

Alpharetta, GA

$107K - $129K/yr

Overview Data Engineer Alpharetta, GA (Onsite) Note: Candidates must be authorized to work in the ... Experience with Azure Data Factory or similar orchestration tools * Familiarity with Microsoft ...

PCA Data Engineer

Atlanta, GA

$110K - $132K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Azure Data Architect Location: Atlanta GA - Hybrid / Remote also ok Duration: 6-12 months * 10+ years of experience in Data warehouse architecture, ETL architecture * 8+ years of experience in ...

Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Overview Data Engineer Alpharetta, GA (Onsite) Note: Candidates must be authorized to work in the ... Experience with Azure Data Factory or similar orchestration tools * Familiarity with Microsoft ...

Data Engineer

Alpharetta, GA

$107K - $129K/yr

Overview Data Engineer Alpharetta, GA (Onsite) Note: Candidates must be authorized to work in the ... Experience with Azure Data Factory or similar orchestration tools * Familiarity with Microsoft ...

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Overview Data Engineer Alpharetta, GA (Onsite) Note: Candidates must be authorized to work in the ... Experience with Azure Data Factory or similar orchestration tools * Familiarity with Microsoft ...

Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Overview Data Engineer Alpharetta, GA (Onsite) Note: Candidates must be authorized to work in the ... Experience with Azure Data Factory or similar orchestration tools * Familiarity with Microsoft ...

Data Engineer

Alpharetta, GA · On-site +1

$111K - $134K/yr

Strong Azure data platform expertise (Databricks, ADF, Synapse, Event Hubs, Functions, ADLS Gen2, Key Vault, DevOps). * Proficiency in Spark, PySpark, and SQL. * Experience implementing Medallion ...

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

Sr. Data Engineer

Peachtree Corners, GA · Remote

$108K - $130K/yr

Sr. Data Engineer Azure Databricks - Platform Engineering Competitive salary/bonus Remote ***Sponsorship is not provided now or in the future.*** ***No Third-Party Resumes.*** Shift: Monday - Friday ...

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

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

Data Engineering Lead- Finance

Atlanta, GA

$110K - $132K/yr

Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with ...

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 associated ...

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Showing results 1-20

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 cities in Georgia are hiring for Azure Data Engineer jobs? Cities in Georgia with the most Azure Data Engineer job openings:
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.
Cloud Data Platform Engineer

Cloud Data Platform Engineer

eTeam

Atlanta, GA

$53.50 - $71.75/hr

Other

Posted 8 days ago


Job description

Cloud Data Platform Engineer

Location: SF or Cupertino, California, Dallas Texas, Hopkins, MN, Atlanta GA, Charlotte NC. Duration: 8 Months contract role

As an Analytics platform engineer supporting Azure & AWS Databricks from a DevOps perspective requires a hybrid skill set spanning primarily cloud infrastructure management and deployment, automation and CI/CD practices and it is helpful if they have a background or exposure to ELT and data engineering and Database Administration Concepts, etc.

The resource will be responsible for developing the foundation Databricks for use within the client as an Analytics Platform Engineering team member where they will develop automation via terraform modules or other tooling to deploy Databricks Workspaces, along with other cloud resources, we are developing a platform on top of a PaaS offering where you also need to implement a CICD solution in Gitlab.

Core Responsibilities
  • Implement CI/CD Pipelines: Design and maintain continuous integration and continuous deployment pipelines using tools like Gitlab, Azure DevOps or GitHub Actions for deploying data pipelines and infrastructure changes.
  • Infrastructure as Code (IaC): Provision and manage Azure Analytics services (Databricks, etc.) through code using tools such as Terraform, ARM templates, or Bicep to ensure consistency and repeatability.
  • Platform Operations: Deploy, manage, and optimize the performance and resource utilization of Azure data services, including monitoring and troubleshooting data pipeline failures and performance issues.
  • Automation & Scripting: Automate routine operational tasks and application deployments using scripting languages like Python, PowerShell, or Bash.
  • Security & Compliance: Implement security best practices, including identity and access management (IAM), data encryption, and compliance with data governance policies (e.g., GDPR) within the platform.
  • Collaboration: Work closely with data engineers, data scientists, and business analysts to translate data requirements into robust technical solutions and foster a DevOps culture within the organization.
Key Skills and Qualifications
  • Cloud Platform Expertise: Deep knowledge of Microsoft Azure and/or AWS services, specifically, Azure and or AWS Databricks, Exposure to Azure Synapse Analytics (SQL pools, Spark pools, pipelines), Azure Data Factory (pipelines, triggers, data flows), Azure Data Lake Storage (ADLS), and Azure Monitor would be beneficial as well.
DevOps Tools & Methodologies:
  • CI/CD platforms: Expertise Gitlab or Azure Devlops (Azure Pipelines, Boards, Repos) or GitHub Actions.
  • Version Control: Strong experience with Git and branching strategies.
  • IaC tools: Proficiency in Terraform, Bicep, or ARM templates.
  • Containerization: Experience with Docker and container orchestration (Azure Kubernetes Service - AKS) is highly beneficial.
  • Programming & Scripting Languages: Proficiency in Python, SQL (SQL, query optimization), and scripting languages like PowerShell or Bash for automation and data manipulation tasks.
  • Data Engineering Fundamentals: Basic understanding of Data engineering principals such as ETL/ELT processes, data modeling, data warehousing, and big data concepts.
  • Monitoring & Logging: Experience implementing monitoring, logging, and alerting solutions using tools like Azure Monitor, Log Analytics, and Application Insights.
  • Soft Skills: Excellent problem-solving, analytical, and communication skills to work effectively in fast-paced, agile environments.
  • Preferred Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) are highly valued.