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Internship Azure Data Factory Developer Jobs in Winona, MN

Master Data Analyst

La Crosse, WI · On-site

$66K - $99K/yr

Experience with SSIS and Azure Data Factory. * Experience with Informatica MDM, SAS DataFlux, or similar tools. * Experience creating dashboards in Power BI, SSRS, or Sigma. Work Schedule Monday ...

Experience (academic, internship, or industry) with CAD tools and engineering analysis. * Strong analytical and problem-solving skills. * Ability to interpret test data and communicate findings ...

Experience (academic, internship, or industry) with CAD tools and engineering analysis. * Strong analytical and problemsolving skills. * Ability to interpret test data and communicate findings ...

Senior Endpoint Engineer

La Crosse, WI · On-site

$75K - $112K/yr

Monitor endpoint analytics, compliance reporting, deployment success rates, and inventory data ... Active Directory and Azure AD * Group Policy Management * DNS and DHCP * Apple Business Manager

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Internship Azure Data Factory Developer information

See Winona, MN salary details

$11

$22

$38

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

As of Aug 16, 2026, the average hourly pay for internship azure data factory developer in Winona, MN is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $23.56 per hour, depending on experience, location, and employer.

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 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.

Lead Consultant | Cloud Integration | Azure Data Factory (ADF)

Spruce Infotech

Minnesota City, MN • On-site

$63.25 - $86.25/hr

Full-time

Posted yesterday

New


Job description

POC: Sam Chavez
ATTENTION ALL SUPPLIERS!!!
READ BEFORE SUBMITTING:
• UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
• We prioritize endorsing those with complete and accurate information
• Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
• Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
• Please submit profiles within the max proposed rate.
• Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.
MANDATORY: Please include in the resume the candidate's complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job Title: Lead Consultant | Cloud Integration | Azure Data Factory (ADF) -- Senior Cloud DBA
Work Location & Reporting Address: Minnesota City, MN 55959 (Onsite-Hybrid. Will consider candidates willing to relocate to client's location)
Contract duration: 6
MAX VENDOR RATE: XXX9 per hour max
Target Start Date: 11 Aug 2026
Does this position require Visa independent candidates only? Yes
Must Have Skills:
• Databricks ADF Postgre SQL, Airflow, Kafka, CICD, DevOps, Infrastructure as Code
• Cloud database platforms such as O Azure Database for PostgreSQL O AWS RDS PostgreSQL O Google Cloud SQL
• Azure Data Factory (ADF), Databricks Workflows, and Apache Airflow. Kafka, Event Streaming, and RealTime Data Processing. CICD, DevOps, Infrastructure as Code
Nice to Have Skills:
• Databricks Lakehouse Architecture and Medallion Framework
• AWS RDS PostgreSQL Google Cloud SQL
Detailed Job Description:
• Senior Cloud DBA with expertise in PostgreSQL, Databricks Lakehouse, and database modernization
• Databricks Lakehouse Architecture and Medallion Framework.
• Azure Data Factory ADF, Databricks Workflows, and Apache Airflow.
• Kafka, Event Streaming, and RealTime Data Processing.
• CICD, DevOps, Infrastructure as Code.
• Cloud database platforms such as Azure Database for PostgreSQL, AWS RDS PostgreSQL and Google Cloud SQL
Minimum Years of Experience:
• 8 to 10+ years
Certifications Needed:
• Any certification is preferred but no required
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
• Databricks Lakehouse Architecture and Medallion Framework.
• Azure Data Factory ADF, Databricks Workflows, and Apache Airflow.
• Kafka, Event Streaming, and RealTime Data Processing.
Interview Process (Is face to face required?)
• Virtual and face-to-face
Any additional information you would like to share about the project specs/nature of work:
Project Code: UHG Optum Advisory Hyderabad STP