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Azure Data Engineer Intern Jobs in Michigan (NOW HIRING)

Sr. Data Engineer

East Lansing, MI · On-site

$110K - $132K/yr

Overall, 10 + years of experience and Azure Certification is MUST. We are looking for a hands\-on Data Engineer with strong experience in MS Fabric, ETL\/ELT, Data Modelling, and Cloud platforms. We ...

Data Engineer

Plymouth, MI · On-site

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Data Engineer

Plymouth, MI · On-site

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Data Strategy-Manager

Detroit, MI · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Strategy-Manager

Grand Rapids, MI · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.

Data Engineer

Detroit, MI · On-site

$108K - $129K/yr

Support AI-assisted and agentic data engineering capabilities, including secure use of tools such as GitHub Copilot, Open Code, Azure OpenAI, OpenAI, Anthropic, or other approved enterprise AI ...

Senior Power BI Developer Experience: 12+ Years Employment Type: W2 Location: Lansing, MI We are ... Connect Power BI to multiple data sources including SQL Server, Oracle, Snowflake, Azure SQL, Azure ...

New

Data Engineer

Detroit, MI

$108K - $129K/yr

Support AI-assisted and agentic data engineering capabilities, including secure use of tools such as GitHub Copilot, Open Code, Azure OpenAI, OpenAI, Anthropic, or other approved enterprise AI ...

$104K - $125K/yr

... as AWS, Azure, or Google Cloud. AWS experience is preferred. - Strong communication and ... Data Engineering, technical subject-matter expertise, AI/ML, or future technical leadership ...

New

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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Azure Data Engineer Intern information

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

AspectAzure Data Engineer InternData Engineer
Required CredentialsBasic knowledge of Azure, SQL, and data fundamentals; often pursuing related degreesAdvanced certifications like Azure Data Engineer Associate, relevant experience
Work EnvironmentInternship setting, learning-focused, Azure cloud platformFull-time professional role, managing data pipelines and architecture
Employer & Industry UsageTech companies, startups, or enterprises using Azure cloudOrganizations across industries with data infrastructure needs
Search & Comparison IntentEntry-level, learning about Azure data rolesProfessional data management and engineering tasks

The Azure Data Engineer Intern role is an entry-level position focused on learning Azure data tools and gaining practical experience. In contrast, a Data Engineer is a full-time professional responsible for designing, building, and maintaining data pipelines and infrastructure. The internship provides foundational knowledge, while the Data Engineer role requires more advanced skills and certifications.

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

To thrive as an Azure Data Engineer Intern, you need a solid understanding of data modeling, SQL, and basic cloud computing concepts, typically supported by coursework in computer science or data engineering. Familiarity with Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI or Python is highly beneficial. Strong analytical thinking, attention to detail, and effective communication enhance your ability to manage data pipelines and collaborate with team members. These skills and qualities are vital for building efficient data solutions and contributing to real-world business insights using cloud-based technologies.

What does an Azure Data Engineer Intern do?

An Azure Data Engineer Intern assists in designing, building, and maintaining data solutions using Microsoft Azure services. Their responsibilities typically include helping with data integration, transformation, and storage tasks, as well as supporting data pipelines and analytics platforms in the cloud. Interns often work alongside experienced data engineers to learn best practices in data modeling, ETL processes, and use of Azure tools such as Azure Data Factory, Azure Databricks, and Azure SQL Database. They may also contribute to troubleshooting data issues and optimizing performance to ensure reliable data delivery.

What types of projects and responsibilities can I expect as an Azure Data Engineer Intern?

As an Azure Data Engineer Intern, you can expect to work on projects involving data integration, transformation, and storage using Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Your daily tasks may include assisting with data pipeline development, supporting data migration initiatives, and collaborating with senior engineers to optimize data workflows. You'll likely participate in team meetings, work closely with data analysts and software developers, and contribute to troubleshooting and improving data solutions. This role offers hands-on experience with cloud-based data engineering tools and an opportunity to learn best practices in a collaborative, fast-paced environment.
What are the most commonly searched types of Azure Data Engineer jobs in Michigan? The most popular types of Azure Data Engineer jobs in Michigan are:
What are popular job titles related to Azure Data Engineer Intern jobs in Michigan? For Azure Data Engineer Intern jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Azure Data Engineer Intern jobs? Cities in Michigan with the most Azure Data Engineer Intern job openings:
Senior Full-Stack BI Architect / Fabric Data Engineer

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI • On-site

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 days ago


Job description

About Us

At Proactive Technology Management, we're transforming how businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, we leverage cutting-edge technologies to deliver actionable insights that give our clients a competitive advantage. We're seeking a Senior Full-Stack BI Architect / Fabric Data Engineer to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you!

Role Summary

As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric design through the use of ubiquitous language and domain-driven principles. You will leverage deep expertise in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technical expertise in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions.

Key Responsibilities
  • Lead the design and implementation of ETL/ELT pipelines within a medallion architecture (Bronze, Silver, and Gold layers) to ensure data quality, scalability, and accessibility across use cases.
  • Architect and develop advanced data models that reflect domain-driven design principles, aligning with business domains and using ubiquitous language to ensure clarity and usability for all stakeholders.
  • Design and implement star and snowflake schemas, along with medallion schema practices, to provide flexible, high-performance data structures for analytics.
  • Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.
  • Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.
  • Build and optimize SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.
  • Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.
  • Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.
  • Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.
  • Mentor team members to build organizational capacity in BI and data engineering best practices.

Requirements

Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.
  • In-depth expertise in medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.
  • Proven ability to implement domain-driven design (DDD) principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.
  • Expert-level proficiency in Power BI, DAX, Power Query M, and SQL, with demonstrated success delivering scalable, impactful BI solutions.
  • Strong programming skills with Spark Python for advanced data processing and analytics.
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.
  • A track record of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.
  • Strong communication and leadership skills, with a focus on collaboration and stakeholder engagement.

Benefits

  • Competitive compensation tailored to senior-level expertise.
  • Opportunities to shape data strategy and lead transformative BI projects.
  • Ongoing professional development through advanced training and certifications.
  • A supportive, innovative culture that values diversity, inclusion, and creativity.
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match

If you're ready to lead the next evolution of business intelligence—harnessing the power of medallion architecture, domain-driven design, and user-centric modeling—apply today. Help us transform data into a powerful, humanized tool for business success.