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Internship Azure Data Factory Developer Jobs (NOW HIRING)

Syntricate Technologies

Azure Data Engineer

Dallas, TX · Hybrid

$113.70K - $136.60K/yr

Azure Data Factory (ADF) * How many years working with: Azure Databricks (highlighted expertise ... Programming & Tools: * 10+ years of experience in SQL, Python..Net is a plus. * 3+ years of ...

Staffingine LLC

Lead Azure ADF Developer

Rolling Meadows, IL · On-site

$55.25 - $68.75/hr

Job Title: Lead Azure ADF Developer Job Location: Rolling Meadows, IL Job type: Contract * Must ... Experience in Azure stack Azure Data Factory Azure functions Azure SQL * Strong working knowledge ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL

$113.50K - $136.30K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113.50K - $136.30K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

Omni Inclusive

Azure Architect

Minneapolis, MN

$66.25 - $86.25/hr

Skill Requirements 1. Proficiency in azure data factory (adf) for data integration and orchestration. 2. Experience working with azure databricks for data engineering and analytics. 3. Strong sql ...

VBeyond

Lead Azure ADF Developer

Rolling Meadows, IL · On-site

$55.25 - $68.75/hr

Lead Azure ADF Developer Location : Rolling Meadows, IL Type: Contract * Must have 10+ years of ... Experience in Azure stack Azure Data Factory Azure functions Azure SQL * Strong working knowledge ...

Prophecy Technologies

Azure Data Engineer

Dallas, TX · On-site

$54.50 - $67.50/hr

* Strong hands-on experience with Azure Data Factory, Databricks and Azure Cloud services * Good knowledge in Blob Storage, ADLS, Azure Logic Apps, Key Vault * Ability to design Azure Data Factory (ADF ...

Kaav Inc.

Jr. Data Engineer | ONSITE

Dallas, TX · On-site

$54.75 - $67.75/hr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform o BI Analytics Tool Stack - Cognos ...

Prophecy Technologies

Azure Data Engineer

Dallas, TX · On-site

$54.75 - $67.75/hr

* Strong hands-on experience with Azure Data Factory, Databricks and Azure Cloud services * Good knowledge in Blob Storage, ADLS, Azure Logic Apps, Key Vault * Ability to design Azure Data Factory (ADF ...

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117.20K - $140.70K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/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:

Highbridge Consulting LLC

Azure Databricks

Manhattan, NY · Hybrid

$60.75 - $75.25/hr

Experience with Azure Data Factory * Strong programming in Python or Scala * Experience with Azure SQL Database * Familiarity with APIs, event-driven architecture, and system integration * Experience ...

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How much do internship azure data factory developer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for internship azure data factory developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

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 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 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 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.

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Internship Azure Data Factory Developer jobs near you
Infographic showing various Internship Azure Data Factory Developer job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 94% Full Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.
Azure Data Engineer

Azure Data Engineer

Syntricate Technologies

Dallas, TX • Hybrid

$113.70K - $136.60K/yr

Other

Posted 13 days ago

Job description

Azure Data Engineer

Dallas TX (Hybrid 3 days in a week) 12+ Months Web Cam Interview

Requirement Notes (Candidate Job description below):

We need a senior (10+ years) Azure Data engineer with recent experience in Banking, Capital Markets or Financial services.

Candidates must have recent experience working with Azure Data Factory (ADF) and Azure Databricks in a Financial environment.

Candidates must have excellent communication skills/no accent.

Experience required on a resume and for submittal:

  • How many years working with: Azure Data Engineer
  • How many years working with: Azure Data Factory (ADF)
  • How many years working with: Azure Databricks (highlighted expertise)
  • How many years working with: Banking, Capital Markets or Financial services OR FORTUNE 500

Education:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field (Engineering or Math preferred).

Technical Skills:

Programming & Tools:

  • 10+ years of experience in SQL, Python..Net is a plus.
  • 3+ years of experience in Azure cloud services, including:
    • Azure SQL Server
    • Azure Data Factory (ADF)
    • Azure Databricks (highlighted expertise)
    • Azure Data Lake Storage (ADLS)
    • Azure Key Vault
    • Azure Functions
    • Logic Apps
    • 3+ years of experience in GIT and deploying code using CI/CD pipelines.

Certifications (Preferred):

  • Microsoft Certified: Azure Data Engineer Associate
  • Databricks Certified Data Engineer Associate or Professional

Soft Skills:

  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and collaboratively within a team.
  • Attention to detail and a commitment to delivering high-quality work.

Responsibilities:

Data Pipeline Development:

  • Create and manage scalable data pipelines to collect, process, and store large volumes of data from various sources.

Data Integration:

  • Integrate data from multiple sources, ensuring consistency, quality, and reliability.

Database Management:

  • Design, implement, and optimize database schemas and structures to support data storage and retrieval.

ETL Processes:

  • Develop and maintain ETL (Extract, Transform, Load) processes to ensure accurate and efficient data movement between systems.

Data Warehousing:

  • Build and maintain data warehouses to support business intelligence and analytics needs.

Performance Optimization:

  • Optimize data processing and storage performance for efficient resource utilization and quick data retrieval.

Documentation:

  • Create and maintain comprehensive documentation for data pipelines, ETL processes, and database schemas.

Monitoring and Troubleshooting:

  • Monitor data pipelines and systems for performance and reliability, troubleshooting and resolving issues as they arise.

Technology Evaluation:

  • Stay updated with emerging technologies and best practices in data engineering, evaluating and recommending new tools and technologies as appropriate.

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