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Internship Azure Data Factory Developer Jobs in Georgia

Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Experience with Azure Data Factory or similar orchestration tools * Familiarity with Microsoft ... Familiarity with Git, branching, and CI/CD practices (Azure DevOps or GitHub Actions) * Exposure to ...

Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Experience with Azure Data Factory or similar orchestration tools * Familiarity with Microsoft ... Familiarity with Git, branching, and CI/CD practices (Azure DevOps or GitHub Actions) * Exposure to ...

Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Experience with Azure Data Factory or similar orchestration tools * Familiarity with Microsoft ... Familiarity with Git, branching, and CI/CD practices (Azure DevOps or GitHub Actions) * Exposure to ...

Lead Data Engineer

Atlanta, GA · On-site

$98K - $129K/yr

... Azure Data Factory, Databricks, PySpark, Python, and associated services. - Demonstrated leadership experience in managing technical teams and driving successful project outcomes. - Strong problem ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics, Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

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 ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics, Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...

... Azure Data Factory, Event Hubs, Blob Storage. • Prototype agentic AI workflows using ... Required : • 10+ years experience in enterprise data architecture and engineering. • Expertise ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics, Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

Data Engineer

Atlanta, GA

$110K - $132K/yr

Azure Data Factory - hands-on pipeline development, parameterization, triggers, linked services * Azure services - working knowledge of Storage (Blob/ADLS), Key Vault, DevOps (pipelines, repos)

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Factory - hands-on pipeline development, parameterization, triggers, linked services * Azure services - working knowledge of Storage (Blob/ADLS), Key Vault, DevOps (pipelines, repos)

Cloud Data Engineer (50576)

Atlanta, GA

$112K - $134K/yr

Working with a multi-disciplinary team of scientists, data engineers, developers, and data ... Proficiency in Azure Data Factory and its components Preferred Qualifications: * Experience with ...

Database Developer Location: Atlanta, GA Duration: 12 Months Supervises the coordination of design ... Recommended 1-2 Years in Azure Data Factory, SQL VMs, build and maintain ETL and Data Lake.

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Engineer Location : Atlanta, GA Remote Duration : Long-Term We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful ...

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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 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 types of projects or tasks can an Azure Data Factory Developer intern 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 are popular job titles related to Internship Azure Data Factory Developer jobs in Georgia? For Internship Azure Data Factory Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Internship Azure Data Factory Developer jobs in Georgia look for? The top searched job categories for Internship Azure Data Factory Developer jobs in Georgia are:
What cities in Georgia are hiring for Internship Azure Data Factory Developer jobs? Cities in Georgia with the most Internship Azure Data Factory Developer job openings:
Data Engineer

Data Engineer

Aptean

Alpharetta, GA • On-site

$107K - $129K/yr

Full-time

Posted 18 days ago


Job description

Overview
Note: Candidates must be authorized to work in the United States without current sponsorship. Aptean is unable to sponsor work authorization at this time.
Are you ready for what's next, now?
Role Overview
Aptean is seeking a hands-on Data Engineer to build, test, and maintain scalable data ingestion and transformation pipelines on Microsoft Fabric. This role is execution-focused and centered on delivering high-quality data solutions that support enterprise reporting, analytics, and AI use cases. The ideal candidate brings experience in modern lakehouse environments and a strong sense of ownership with a willingness to learn.
About the Role
As a Data Engineer, you will be responsible for developing and maintaining data pipelines across the medallion architecture (bronze, silver, gold) using Microsoft Fabric and Azure technologies. You'll work closely with senior engineers, analysts, and business stakeholders to translate requirements into reliable, scalable data engineering solutions. This role requires strong hands-on experience with Python, PySpark, and data pipeline orchestration tools, as well as a focus on data quality, performance optimization, and operational excellence.
Key Responsibilities
  • Build and maintain data ingestion pipelines using Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks) and Azure Data Factory
  • Develop Python and PySpark notebooks to cleanse, transform, and enrich data across medallion architecture layers
  • Implement Delta Lake patterns including partitioning, schema evolution, and incremental loads
  • Apply data quality checks including null handling, duplicate detection, schema validation, and SCD logic
  • Develop reusable, metadata-driven, and parameterized pipeline frameworks
  • Troubleshoot pipeline failures, performance issues, and data discrepancies; perform root-cause analysis
  • Participate in code reviews, testing, and CI/CD processes using Git-based workflows
  • Support gold-layer datasets and semantic models for Power BI consumption
  • Monitor pipelines and resolve operational issues within defined SLAs; support on-call rotations as needed
  • Maintain technical documentation such as data dictionaries, mappings, and runbooks
  • Collaborate cross-functionally to deliver high-quality data engineering solutions

About You
  • 3-5 years of experience building data pipelines in production or near-production environments
  • Hands-on experience with Python and PySpark
  • Experience with Azure Data Factory or similar orchestration tools
  • Familiarity with Microsoft Fabric (or strong experience in Azure Synapse/Databricks with willingness to learn Fabric)
  • Solid understanding of SQL, data modeling, and performance optimization
  • Knowledge of medallion architecture and Delta Lake concepts
  • Experience implementing data quality checks and basic SCD handling
  • Familiarity with Git, branching, and CI/CD practices (Azure DevOps or GitHub Actions)
  • Exposure to Power BI and semantic data models is a plus
  • Understanding of data governance concepts such as schema versioning and access controls preferred
  • Strong problem-solving skills, attention to detail, and ownership mindset
  • Effective communication skills and ability to collaborate with technical and business teams

What's in It for You
  • Opportunity to work with modern data technologies including Microsoft Fabric and Azure
  • Collaborative environment with experienced data engineering professionals
  • Exposure to enterprise-level data, analytics, and AI initiatives
  • Growth opportunities through hands-on learning and ownership of impactful projects

About Aptean
At Aptean, our mission is to solve tomorrow's unique challenges today with unrivaled,
purpose-built software and superior customer experiences from people who care.
Aptean is a global provider of mission-critical, industry-specific software solutions.
Aptean' s purpose-built ERP and supply chain management solutions help address the
unique challenges facing process and discrete manufacturers, distributors and other
focused organizations. Aptean' s compliance solutions are built for companies serving
specific markets such as finance, healthcare, biotech and pharmaceuticals, over 10,000
highly specialized organizations in more than 20 industries and 80 countries rely on
Aptean to streamline their everyday operations.
"At Aptean, our global and diverse employee base is our greatest asset. It is through
embracing and understanding our differences that we are able to harness our individual
power to maximize the success of our customers, our employees and our company." -
TVN Reddy
Aptean pledges to promote a company culture where diversity, equity and inclusion are
central. We are committed to applying this principle as we interact with our customers,
build our teams, cultivate our leaders and shape a company in which any employee can
succeed, regardless of race, color, sex, national origin, sexuality and gender identity,
religion, disability or age. Celebrating our diverse experiences, opinions and beliefs
allows us to embrace what makes us unique and to use this as an asset in bringing
innovative solutions to our customer base.