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Azure Data Engineer Intern Jobs in Chattanooga, TN

Insight Global

Data Engineer

Chattanooga, TN · On-site

$100K - $135K/yr

Data Engineer - ERP Modernization & Cloud Migration Location: Chattanooga, TN Schedule: 4 days ... Experience working within Microsoft Azure cloud environments * Strong background in data migration ...

Astec Industries

Data Analyst Intern

Chattanooga, TN · On-site

The intern will work closely with the Strategic Procurement team to support dashboard operations ... Science, Engineering, or a related field • Basic knowledge of data analysis and reporting ...

Reli Group Inc

Power BI Intern

Chattanooga, TN · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Experience with Microsoft Azure or SharePoint preferred * Knowledge of statistical analysis or data ...

Reli Group Inc

Power BI Intern

Chattanooga, TN

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Experience with Microsoft Azure or SharePoint preferred * Knowledge of statistical analysis or data ...

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Azure Data Engineer Intern information

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How much do azure data engineer intern jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for azure data engineer intern in Chattanooga, TN is $23.14, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $26.25 per hour, depending on experience, location, and employer.

What does an Azure Data Engineer Intern do?

An Azure Data Engineer Intern assists in designing, building, and maintaining data solutions using Microsoft Azure services. Their responsibilities typically include helping with data integration, transformation, and storage tasks, as well as supporting data pipelines and analytics platforms in the cloud. Interns often work alongside experienced data engineers to learn best practices in data modeling, ETL processes, and use of Azure tools such as Azure Data Factory, Azure Databricks, and Azure SQL Database. They may also contribute to troubleshooting data issues and optimizing performance to ensure reliable data delivery.

What types of projects and responsibilities can I expect as an Azure Data Engineer Intern?

As an Azure Data Engineer Intern, you can expect to work on projects involving data integration, transformation, and storage using Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Your daily tasks may include assisting with data pipeline development, supporting data migration initiatives, and collaborating with senior engineers to optimize data workflows. You'll likely participate in team meetings, work closely with data analysts and software developers, and contribute to troubleshooting and improving data solutions. This role offers hands-on experience with cloud-based data engineering tools and an opportunity to learn best practices in a collaborative, fast-paced environment.

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

To thrive as an Azure Data Engineer Intern, you need a solid understanding of data modeling, SQL, and basic cloud computing concepts, typically supported by coursework in computer science or data engineering. Familiarity with Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI or Python is highly beneficial. Strong analytical thinking, attention to detail, and effective communication enhance your ability to manage data pipelines and collaborate with team members. These skills and qualities are vital for building efficient data solutions and contributing to real-world business insights using cloud-based technologies.

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

AspectAzure Data Engineer InternData Engineer
Required CredentialsBasic knowledge of Azure, SQL, and data fundamentals; often pursuing related degreesAdvanced certifications like Azure Data Engineer Associate, relevant experience
Work EnvironmentInternship setting, learning-focused, Azure cloud platformFull-time professional role, managing data pipelines and architecture
Employer & Industry UsageTech companies, startups, or enterprises using Azure cloudOrganizations across industries with data infrastructure needs
Search & Comparison IntentEntry-level, learning about Azure data rolesProfessional data management and engineering tasks

The Azure Data Engineer Intern role is an entry-level position focused on learning Azure data tools and gaining practical experience. In contrast, a Data Engineer is a full-time professional responsible for designing, building, and maintaining data pipelines and infrastructure. The internship provides foundational knowledge, while the Data Engineer role requires more advanced skills and certifications.

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The top searched job categories for Azure Data Engineer Intern jobs in Chattanooga, TN are:

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Cities near Chattanooga, TN with the most Azure Data Engineer Intern job openings:

Azure Data Engineer Intern jobs near you
Infographic showing various Azure Data Engineer Intern job openings in Chattanooga, TN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $48,137 per year, or $23.1 per hour.

Azure Data Engineer (Microsoft Fabric)

Rossville, GA • On-site

Kanak Elite Services Inc
Software Development • 51 - 200 employees
Learn more about Kanak Elite Services Incexternal

$98K - $118K/yr

Contractor

Re-posted 25 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Azure Data Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com 

Job Description

Position           : Azure Data Engineer

Location          : Roswell, GA Hybrid/Remote

Duration         : Long term contract

Description

The client is transitioning into Microsoft Fabric, and this role will play a key part in that journey. The Data Engineer will be responsible for building and maintaining end-to-end data pipelines for analytics solutions, leveraging Microsoft Azure Cloud, Azure Synapse Analytics, and Microsoft Fabric.

Qualifications (Must-Have):

  • Minimum of 8–10 years of hands-on experience building data pipelines, data models, and supporting enterprise data warehouse solutions.
  • Hands-on experience with Microsoft Fabric for data pipelines, modeling, and analytics.
  • Proficiency with Microsoft Azure data services, including Azure Synapse Analytics.
  • Strong SQL, data modeling, and ETL/ELT development skills.
  • Experience working within a scaled agile framework for data engineering product delivery.
  • Microsoft Azure certifications in analytics technologies are a plus.
  • 4+ years of experience with ETL and cloud data technologies, including Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Logic Apps, Azure Functions, Azure Data Explorer, and Power BI (or equivalent platforms).
  • 4+ years of experience in big data scripting languages such as Python, SCOPE, or SQL.
  • 4+ years of experience in one scripting language for data retrieval and manipulation (e.g., SQL or KQL).

Responsibilities:

  • Build and maintain end-to-end data pipelines across Azure Synapse Analytics and Microsoft Fabric.
  • Develop and implement solutions on the Azure cloud platform to support a modern enterprise data platform.
  • Partner with cross-functional teams to ensure data is collected, stored, processed, and analyzed in a timely, efficient, and accurate manner.
  • Design, develop, and implement analytics solutions on Azure Synapse Analytics.
  • Develop ETL/ELT processes for large-scale data ingestion, ensuring data quality and pipeline performance.
  • Transform and model data to meet business requirements, loading it into Azure Synapse SQL Warehouse/Azure Data Lake Storage.
  • Implement monitoring and error handling processes for reliable data integration.
  • Optimize pipelines for cost and performance through query tuning, caching, and resource management.
  • Automate repeatable data preparation tasks to reduce manual processes.
  • Collaborate with data governance, cloud service providers, visualization, and IT/business teams to deliver analytics solutions.
  • Provide troubleshooting, analysis, and production support for existing solutions, including enhancements.

Skills:

  • Strong SQL, data modeling, data warehouse, and OLAP concepts.
  • Experience with Azure Data Lake Storage, Azure Synapse Analytics, Azure Spark Pools, Databricks Notebook, Cosmos DB, CDC tools, Python, DevOps, and CI/CD.
  • Familiarity with data integration tools (e.g., Qlik Replicate) and data modeling tools (e.g., Erwin) is a plus.
  • Familiarity with data lake medallion architecture and unified data models.
  • Familiarity with contextualization products (e.g., Cognite) is a plus.
  • Experience with visualization tools such as Microsoft Power BI and Tableau.
  • Familiarity with Scaled Agile, DevOps, Scrum, and ITIL concepts.
  • Experience with Microsoft SSIS, SSRS, and SSAS is a plus.

Competencies:

  • Strong communication and presentation skills, able to engage with technical and non-technical stakeholders across IT and business teams.
  • Collaboration & Building Partnerships – Skilled at developing and leveraging relationships across groups to deliver results.
  • Drive for Results – Takes ownership and proactively acts to achieve objectives and goals.
  • Continuous Improvement – Identifies opportunities, generates ideas, and implements solutions to improve processes and conditions.