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Azure Data Engineer Jobs in Georgia (NOW HIRING)

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 ...

Infinitive Inc

Data Engineer

Decatur, GA · On-site

$111K - $134K/yr

Advanced degree or relevant professional certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer, Azure Data Engineer Associate) preferred. Infinitive is ...

Infinitive Inc

Data Engineer

Decatur, GA · On-site

$111K - $134K/yr

Advanced degree or relevant professional certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer, Azure Data Engineer Associate) preferred. Infinitive is ...

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 ...

Infosys

Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Required : • Experience in Data Engineering or Analytics Engineering roles. • Expertise in analytical data modelling. • Hands-on experience with Microsoft Fabric or Azure analytics services ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

... Azure data services, Databricks, and SQL Server environments. The position emphasizes production-grade data engineering, database optimization, and analytics platform enablement, while maintaining ...

Southern Trust Insurance Company

Data Engineer

Macon, GA · On-site

$109K - $131K/yr

Familiarity with Azure cloud services. * Experience with BI tools (Power BI & Snowflake ... Data Engineering: Experience building and supporting data warehouses/lakes, especially on Snowflake ...

Delta Dental Ins.

Senior Data Engineer

Alpharetta, GA · On-site

$160K - $165K/yr

Senior Data Engineer Location: 1130 Sanctuary Parkway, Alpharetta, GA 30009; Must live within ... Build and optimize data processing platforms using Microsoft Azure services including Azure Data ...

United Airlines

Azure Databrick with Anaplan

Atlanta, GA · On-site

$53 - $65.75/hr

Key Responsibilities Data Engineering Pipeline Development Design develop and optimize ETLELT pipelines using Azure Databricks PySpark Build scalable data ingestion workflows from various structured ...

Kiewit

Data Engineer-Kiewit Nuclear Solutions 1

Atlanta, GA · On-site +1

$110K - $132K/yr

Engineer high-performance DAX measures for complex business logic * Troubleshoot and refactor ... Azure Databricks (Spark / PySpark / Spark SQL) * Azure Data Factory * SQL Server / Azure SQL

ACI Infotech

Data Architect

Atlanta, GA · On-site

$62.25 - $80/hr

Data Architect Location: Atlanta, GA Role: Full Time Mode: On-Site Accepting H1B Transfer cases ... Azure DevOps,

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Architect and implement scalable data solutions on Azure, leveraging premier tools and services. - Engineer resilient data pipelines to facilitate seamless data ingestion, transformation, and storage ...

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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.
DECAL Data Engineer (773649)

DECAL Data Engineer (773649)

R2 Technologies Corporation

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 23 days ago

Job description

Overview:
DECAL Data Engineer (773649)
Local to Atlanta, Georgia
Mandatory in-person meetings:
The Dept. of Early Care & Development (DECAL) is seeking a highly skilled and proactive Data Engineer to join our dynamic team and support the modernization of our data estate. This role is integral to the migration from legacy systems and the development of scalable, secure, and efficient data solutions using modern technologies, particularly Microsoft Fabric and Azure-based platforms. The successful candidate will contribute to data infrastructure design, data modeling, pipeline development, and visualization delivery to enable data-driven decision-making across the enterprise.
Work Location & Attendance Requirements:
• Must be physically located in metro Atlanta.
• On-site: Tuesday to Thursday, per manager's discretion
• Mandatory in-person meetings:
o All Hands
o Enterprise Applications
o On-site meetings
o DECAL All Staff
• Work arrangements subject to management's discretion
Experience Required: 5+ years
Key Responsibilities:
• Design, build, and maintain scalable ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.
• Implement medallion architecture (Bronze, Silver, Gold) to support data lifecycle and data quality.
• Support the sunsetting of legacy SQL-based infrastructure and SSRS, ensuring data continuity and stakeholder readiness.
• Create and manage notebooks (e.g., Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark.
• Build and deliver curated datasets and analytics models to support Power BI dashboards and reports.
• Develop dimensional and real-time data models for analytics use cases.
• Collaborate with data analysts, stewards, and business stakeholders to deliver fit-for-purpose data assets.
• Apply data governance policies including row-level security, data masking, and classification in line with Microsoft Purview or Unity Catalog.
• Ensure monitoring, logging, and CI/CD automation using Azure DevOps for data workflows.
• Provide support during data migration and cutover events, ensuring minimal disruption.
Technical Stack:
• Microsoft Fabric
• Azure Databricks
• SQL Server / SQL Managed Instances
• Power BI (including semantic models and datasets)
• SSRS (for legacy support and decommissioning)
Qualifications:
• Bachelor's degree in Computer Science, Information Systems, or related field
• 5+ years of experience in data engineering roles, preferably in government or regulated environments
• Proficiency in SQL, Python, Spark.
• Hands-on experience with Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake)
• Experience with Power BI data modeling and dashboard development
• Familiarity with data governance tools (Microsoft Purview, Unity Catalog)
• Solid understanding of ETL/ELT pipelines, data warehousing concepts, and schema design
• Strong communication and collaboration skills.
Preferred Qualifications:
• Certifications such as Microsoft Certified: Fabric Analytics Engineer or Azure Data Engineer Associate
• Knowledge of CI/CD automation with Azure DevOps
• Familiarity with data security and compliance (e.g., FIPS 199, NIST)
• Experience managing sunset and modernization of legacy reporting systems like SSRS
Soft Skills:
• Strong analytical thinking and problem-solving abilities
• Ability to collaborate across multidisciplinary teams
• Comfort in fast-paced and evolving technology environments
This role is critical to our shift toward a modern data platform and offers the opportunity to influence our architectural decisions and technical roadmap.
Skills:
Microsoft Fabric,Azure Databricks,Power BI,SSRS

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