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Internship Azure Data Engineer Jobs (NOW HIRING)

Azure Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Azure Data Engineer Associate * Databricks Certified Data Engineer Associate or Professional Responsibilities: * Data Pipeline Development: * Create and manage scalable data pipelines to collect ...

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Azure Data Engineer Location: Branchville, NJ, Charlotte, NC and Hartford CT Years of Experience: 7-10 Years Job Summary: We are seeking a highly skilled Data Engineer with a strong background in ...

Azure Data Engineer

Skokie, IL · On-site

$115K - $138K/yr

Azure Data Engineer The client is looking for an Azure Data Engineer with experience designing and building data warehouses in Azure leveraging Microsoft Azure Cloud computing. This role involves ...

Azure Data Engineer

Montague, NJ · On-site

$97K - $117K/yr

Azure Data Engineer Location: Branchville, NJ, Charlotte, NC and Hartford CT Years of Experience: 7 10 Years Job Summary: We are seeking a highly skilled Data Engineer with a strong background in ...

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

Azure Data Engineer Location: Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be local to MA or NH) Duration: Long Term Contract Position Summary We are seeking a highly motivated ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Azure Data Engineer: * 10+ years of strong experience in a large & complex application development environment, last 2 projects in investment banking or financial services industry and on data-heavy ...

Azure Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

zure Data Engineer Location: Redmond area / if remote, should work in PST time zone and IST overlapping Duration: Contract Description: * Expertise with Azure data services, such as Microsoft Fabric ...

Azure Data Engineer

Lake Zurich, IL · On-site

$116K - $140K/yr

HI Our client is looking for a Senior Azure Data Engineer in Forest Lake, IL . Below is the detailed requirement. Job positing Title: Senior Azure Data Engineer Location: Forest Lake, IL Required ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Azure Data Engineer

Riverside, NJ · On-site

$115K - $138K/yr

Azure Data Engineer Location: Delran, NJ Duration: 12 months * 6+ years of total experience as a Data Engineer with very strong data engineering/data analytics skills. * Experience of the following ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Azure Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Azure Data Engineer Associate * Databricks Certified Data Engineer Associate or Professional Responsibilities: * Data Pipeline Development: * Create and manage scalable data pipelines to collect ...

Azure Data Engineer

$117K - $140K/yr

Azure Data Engineer Associate (or higher), Azure Data Factory, Job Summary: We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory , Azure Databricks , Oracle , and ...

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Internship Azure Data Engineer information

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

As of Jul 7, 2026, the average hourly pay for internship azure data engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What kinds of projects and technologies can I expect to work with during an Azure Data Engineer internship?

As an Azure Data Engineer intern, you'll typically gain hands-on experience with cloud data solutions, such as building and managing data pipelines using Azure Data Factory, integrating data sources with Azure Databricks or Synapse Analytics, and working with Azure SQL databases. Interns often participate in real-world projects like data migration, data cleansing, and developing dashboards for business insights. You will likely collaborate closely with data scientists, software developers, and business analysts, learning best practices for data security, scalability, and performance in a cloud environment.

What does an Internship Azure Data Engineer do?

An Internship Azure Data Engineer assists in designing, building, and maintaining data solutions using Microsoft Azure technologies. Responsibilities typically include working with data pipelines, cloud databases, and tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Interns often help with data integration, transformation, and storage tasks, as well as collaborating with senior engineers and stakeholders to support data-driven projects. This role provides valuable exposure to cloud computing, big data, and the practical application of data engineering concepts.

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

AspectInternship Azure Data EngineerData Analyst Intern
Required CredentialsBasic knowledge of Azure, SQL, and data engineering conceptsBasic understanding of data analysis, Excel, and SQL
Work EnvironmentCloud platforms, data pipelines, and database managementData visualization, reporting, and data interpretation
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, marketing, finance sectors, and consulting firms

Internship Azure Data Engineer roles focus on cloud-based data pipeline development and management using Azure tools, while Data Analyst Internships emphasize data interpretation and reporting. Both roles are entry-level, often require SQL knowledge, and serve data-driven industries, but they differ in technical focus and daily tasks.

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

To thrive as an Internship Azure Data Engineer, you need a solid understanding of data management concepts, SQL, and a background in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI is typically required, along with a willingness to pursue certifications like Microsoft Certified: Azure Data Engineer Associate. Strong analytical thinking, problem-solving skills, and effective teamwork set candidates apart in this role. These skills are essential to efficiently design, implement, and maintain data solutions that support business intelligence and decision-making in cloud environments.
More about Internship Azure Data Engineer jobs
What cities are hiring for Internship Azure Data Engineer jobs? Cities with the most Internship Azure Data Engineer job openings:
What are the most commonly searched types of Azure Data Engineer jobs? The most popular types of Azure Data Engineer jobs are:
What states have the most Internship Azure Data Engineer jobs? States with the most job openings for Internship Azure Data Engineer jobs include:
Infographic showing various Internship Azure Data Engineer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Azure Data Engineer

Azure Data Engineer

RIT Solutions, Inc.

Sunrise, FL • On-site

$109K - $131K/yr

Other

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


Job description

senior (1 2 + years ) Azure Data Analyst with extensive experience working with the Azure Data suite listed below. THE CLIENT WOULD LIKE TO SEE CERTIFICATIONS. ****CANDIDATES MUST HAVE RECENT CAPITAL MARKETS/TRADING AND/OR HEDGE FUND EXPERIENCE AND EXCELLENT COMMUNICATION SKILLS. HOT & MOVING FAST!!
*** Candidate Must Have's on a resume and for submittal:
1. How many years working with: zure Data Analyst
2. How many years working with: zure Data Factory (ADF
3. How many years working with: Azure Databricks (highlighted expertise)
4. How many years working with: Logic Apps
5. How many years working with: Capital Markets/Hedge Funds
Technical Skills:

  • Programming & Tools:
    • 10+ years of experience in SQL, Python. .Net is a plus.
    • 5+ 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
    • 5+ 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

Responsibilities:
  1. Data Pipeline Development:
    • Create and manage scalable data pipelines to collect, process, and store large volumes of data from various sources.
  2. Data Integration:
    • Integrate data from multiple sources, ensuring consistency, quality, and reliability.
  3. Database Management:
    • Design, implement, and optimize database schemas and structures to support data storage and retrieval.
  4. ETL Processes:
    • Develop and maintain ETL (Extract, Transform, Load) processes to ensure accurate and efficient data movement between systems.
  5. Data Warehousing:
    • Build and maintain data warehouses to support business intelligence and analytics needs.
  6. Performance Optimization:
    • Optimize data processing and storage performance for efficient resource utilization and quick data retrieval.
  7. Documentation:
    • Create and maintain comprehensive documentation for data pipelines, ETL processes, and database schemas.
  8. Monitoring and Troubleshooting:
    • Monitor data pipelines and systems for performance and reliability, troubleshooting and resolving issues as they arise.
  9. Technology Evaluation:
Stay updated with emerging technologies and best practices in data engineering, evaluating and recommending