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Internship Azure Data Factory Developer Jobs in North Carolina

Azure Data Engineer

Charlotte, NC · On-site

$53.75 - $66.75/hr

Develop and manage Azure Data Factory (ADF) workflows and Azure Data Lake Gen2 solutions. * Work with Azure Databricks, Azure Functions, and Azure databases to support data engineering initiatives.

Senior Azure Data Engineer 3625215

Charlotte, NC · On-site

$103K - $140K/yr

Contribute to modernization efforts involving Azure Synapse, Azure Data Factory, and Databricks. Do you bring proven success in Azure data engineering and cloud data platform delivery? * 10+ years of ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Position : Data Engineer Location : Raleigh, NC Onsite (Must be local) Duration : 12+ Months ... Experience with Azure Data Platform (Azure Data Factory, Azure Data Lake, and Azure SQL Database)

PCA Data Engineer

Charlotte, NC · On-site

$111K - $134K/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 ...

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/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 ...

Data Engineer

Charlotte, NC · On-site

$50 - $70/hr

Full-stack Python/PySpark developer * Proven experience as a Data Engineer with experience in Azure cloud. * Experience implementing solutions using - * Azure cloud services * Azure Data Factory

... Factory, Azure Data Lake Storage (ADLS), Databricks, and Azure DevOps. In this capacity, the Senior Data Engineer will: * Design, build and manage scalable data pipelines usingAzure Data Factory (ADF ...

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Internship Azure Data Factory Developer information

What does an Internship Azure Data Factory Developer do?

An Internship Azure Data Factory Developer assists in designing, building, and managing data pipelines using Microsoft Azure Data Factory. They work with data engineers and analysts to automate data flows, integrate data from various sources, and ensure data is efficiently processed for analytics and reporting. Interns often gain hands-on experience with cloud technologies, data transformation, and learn best practices in data management on the Azure platform.

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

To thrive as an Internship Azure Data Factory Developer, you need foundational knowledge in data engineering, SQL, and cloud computing concepts, often supported by coursework in computer science or related fields. Familiarity with Microsoft Azure services, especially Azure Data Factory, and experience with tools like Power BI or Azure SQL Database are typically expected. Strong analytical thinking, attention to detail, and effective communication help interns collaborate and solve data integration challenges. These skills and qualities are crucial for efficiently building data pipelines, ensuring data quality, and supporting business intelligence initiatives.

What types of projects or tasks can an Internship Azure Data Factory Developer expect to work on during their internship?

As an Azure Data Factory Developer intern, you can expect to assist with building and maintaining data pipelines, integrating data from various sources, and automating data workflows. Typical tasks include developing data transformation logic, configuring linked services, and monitoring pipeline performance. Interns often collaborate closely with data engineers, analysts, and business intelligence teams, gaining hands-on experience with real-world datasets and cloud-based data solutions. This role provides valuable exposure to industry-standard tools, and strong performance may open up opportunities for full-time positions or advanced technical roles.

What is the difference between Internship Azure Data Factory Developer vs Data Engineer?

AspectInternship Azure Data Factory DeveloperData Engineer
Required CredentialsBasic understanding of Azure, data integration, and some certifications like Azure FundamentalsAdvanced degrees or certifications in data engineering, cloud platforms, or related fields
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, managing complex data pipelines and systems
Employer & Industry UsageUsed in tech companies, consulting firms, and organizations adopting Azure cloudCommon across industries requiring large-scale data processing and analytics

The Internship Azure Data Factory Developer role is an entry-level position focused on learning and supporting data integration tasks using Azure Data Factory. In contrast, a Data Engineer is a full-time professional responsible for designing, building, and maintaining scalable data pipelines and systems. While the internship provides foundational experience, the Data Engineer role requires more advanced skills, experience, and certifications.

What are the most commonly searched types of Azure Data Factory Developer jobs in North Carolina?

The most popular types of Azure Data Factory Developer jobs in North Carolina are:

What cities in North Carolina are hiring for Internship Azure Data Factory Developer jobs?

Cities in North Carolina with the most Internship Azure Data Factory Developer job openings:

Infographic showing various Internship Azure Data Factory Developer job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Azure Data Engineer

STAFFXPERT LLC

Charlotte, NC • On-site

$53.75 - $66.75/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Azure Data Engineer

Location: Charlotte, NC (Hybrid)
Employment Type: W2 Only
Experience: 10+ Years

Job Summary

STAFFXPERT LLC is seeking an Azure Data Engineer on behalf of our client in Charlotte, NC. We are looking for an experienced data engineering professional with strong expertise in Microsoft Azure cloud technologies, modern data platforms, and ETL/ELT development. The ideal candidate will have a proven track record of designing, developing, and optimizing scalable data solutions in a hybrid cloud environment.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure cloud technologies.

  • Build and optimize ETL/ELT processes for enterprise data integration.

  • Develop and manage Azure Data Factory (ADF) workflows and Azure Data Lake Gen2 solutions.

  • Work with Azure Databricks, Azure Functions, and Azure databases to support data engineering initiatives.

  • Integrate APIs and manage API Gateway solutions.

  • Develop data services using Python frameworks such as FastAPI.

  • Optimize SQL queries and work with both relational and NoSQL databases.

  • Implement CI/CD pipelines using Git, Jenkins, and DevOps best practices.

  • Collaborate with cross-functional teams to deliver secure, high-quality data solutions.

Required Qualifications
  • 10+ years of experience as a Data Engineer.

  • Strong hands-on experience with Microsoft Azure Cloud services.

  • Expertise in:

    • Azure Data Factory (ADF)

    • Azure Data Lake Gen2

    • Azure Databricks

    • Azure Functions

    • Azure Databases

    • Azure Data Fabric

    • API Gateway Management

  • Strong SQL skills with experience in RDBMS and NoSQL databases.

  • Experience with Python frameworks such as FastAPI.

  • Strong background in ETL/ELT development.

  • Experience with CI/CD tools including Git and Jenkins.

  • Ability to work in a hybrid environment in Charlotte, NC.

  • Must be authorized to work on W2.

Preferred Qualifications
  • Experience in the Financial Services domain.

  • Local candidates or candidates willing to relocate to the Charlotte, NC area are preferred.

  • Ability to attend in-person interviews as required.