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Internship Azure Data Factory Developer Jobs in Minnesota

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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 Minnesota?

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

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

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

Internship Azure Data Factory Developer jobs near you

Senior Healthcare Data Modeler

Techvilla Solutions

Bloomington, MN • On-site

Full-time

Posted 3 days ago

New

Job description

Primary Responsibilities
  • Design and implement enterprise data models and data architecture for large, complex healthcare systems.
  • Translate business and technical requirements into scalable data models and end-to-end data solutions.
  • Develop data strategies, roadmaps, and data management solutions supporting analytics and enterprise reporting.
  • Design normalized OLTP, OLAP, MDM, and dimensional models, including Star schemas, SCDs, role-playing dimensions, hierarchies, and data classification.
  • Develop and review complex SQL queries, stored procedures, DDL, DML, and DCL using ANSI standards.
  • Optimize SQL queries and analyze database performance.
  • Define and implement data quality, profiling, governance, security, metadata management, MDM, archival, and migration strategies.
  • Ensure compliance with healthcare data security and privacy requirements, including HIPAA, PHI, and PII.
  • Collaborate with Data Managers, Data Integration Leads, Data Engineers, and business stakeholders.
  • Provide technical leadership, problem-solving, presentations, and recommendations for complex data initiatives.
Required Skills & Qualifications
  • 8+ years of experience in Data Modeling, Data Architecture, or Data Management.
  • 5+ years of hands-on experience with Erwin Data Modeler.
  • 5+ years of experience working with healthcare data and healthcare information systems.
  • Strong experience with Medicaid, Medicare, and Commercial healthcare datasets; Medicaid experience is highly preferred.
  • 7+ years of advanced SQL experience, including complex queries, stored procedures, DDL, DML, DCL, and query optimization.
  • Strong expertise in OLTP, OLAP, MDM, and dimensional data modeling.
  • Experience with Star schemas, Slowly Changing Dimensions (SCD), role-playing dimensions, dimensional hierarchies, and data classification.
  • Strong knowledge of Data Governance, Data Quality, Data Profiling, Data Security, Metadata Management, MDM, Data Archival, and Data Migration.
  • Strong understanding of HIPAA, PHI, PII, and healthcare data privacy/security requirements.
  • Excellent problem-solving, communication, influencing, presentation, and stakeholder management skills.
  • Ability to work independently and take ownership of complex data initiatives.
Preferred Skills
  • Experience with Microsoft Azure data services, including Azure Data Lake Storage, Azure Data Factory, Microsoft Purview, and Azure Maps.
  • Experience with Snowflake.
  • Experience with Power BI or Tableau.
  • Experience designing and implementing large-scale healthcare data warehouse and analytics solutions.

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