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Azure Data Engineer Intern Jobs in Michigan (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc ... Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building ...

Continental Services

Data Engineer

Sterling Heights, MI

$97K - $146K/yr

The Data Engineer is a hands-on technical contributor who plays a foundational role in building the ... Develop and maintain data models within Microsoft Fabric and Azure that support analytics, business ...

Continental Services

Data Engineer

Sterling Heights, MI · On-site

$106K - $128K/yr

The Data Engineer is a hands-on technical contributor who plays a foundational role in building the ... Develop and maintain data models within Microsoft Fabric and Azure that support analytics, business ...

CFS

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

Position: Senior Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI · On-site

$124K - $280K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure ... Data engineering exposure: pipelines, transformations, data modeling concepts, and working with ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

$99K - $232K/yr

... Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment of scalable data solutions ...

Pwc

Data Engineer - Manager

Grand Rapids, MI · On-site

$99K - $232K/yr

... Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment of scalable data solutions ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

Infosys is a global leader in next-generation digital services and consulting, specializing in transforming data into actionable insights. They are seeking an Azure Databricks Engineer to contribute ...

IMR Soft Llc

Azure Architect

Grand Rapids, MI · On-site

$61 - $79.50/hr

... programming. * 6+ years hands-on with .NET, C#, MVC, SQL, Web APIs. * Strong expertise in Azure services and data processing tools. * Proven track record of delivering high-quality, secure, and ...

Epitec

Data Engineer

Southfield, MI · On-site

$114K/yr

Data Engineer (Job Code: 1391) Duties : Responsible for supporting vehicle feature level ... Python, GCP, Hadoop, Azure, Tableau, Alteryx, AWS, C++, Git, Embedded C, SQL, and Docker. Will also ...

Leggett & Platt

Systems Engineer Intern

Detroit, MI · On-site

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Support test planning, execution, and data analysis for system‑level and component‑level ...

Leggett & Platt

Systems Engineer Intern

Detroit, MI · On-site

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Support test planning, execution, and data analysis for system-level and component-level validation.

Leggett & Platt

Systems Engineer Intern

Detroit, MI

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Support test planning, execution, and data analysis for systemlevel and componentlevel validation.

Birdi

Principal Data Engineer

Plymouth, MI · Remote

$109K - $130K/yr

Tableau, Tableau Server, SSIS, SQL Server, PostgreSQL, Python, SSRS, Azure, Cloud, Git, CI/CD, Terraform, CloudFormation, HL7, FHIR Requirements: Senior data engineer with expertise in SQL Server ...

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All JobsAzure Data Engineer Intern JobsAzure Data Engineer Intern Jobs in Michigan

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:
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Azure Data Engineer Intern jobs near you
Data Engineer

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 5 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process massive datasets in both batch and real-time. You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices.
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:
  • Pipeline Development: Design and implement complex data processing pipelines using Apache Spark.
  • Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing.
  • Infrastructure as Code: Manage and provision cloud infrastructure using Terraform.
  • CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment.
  • Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
  • Collaboration: Work closely with stakeholders to translate business requirements into technical specifications.

Basic Qualifications:
  • Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline
  • A minimum of 5 years of experience in the data engineering and software development life cycle. Including:
    • A minimum of 4 years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
    • A minimum of 4 years of hands-on experience working with AWS cloud services
  • Comprehensive experience with one or more programming languages such as Python, Java, or Rust
  • Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.)
  • Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more
  • Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
  • Experience with designing and implementing real-time pipelines
  • Experience with data quality and validation
  • Experience with API design
  • Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming).
  • Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment.
  • SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.
  • DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines.
  • Software Engineering Foundation: Solid understanding of data structures, algorithms, and design patterns. Experience applying "Clean Code" principles to data engineering.
  • Stream Processing: Experience with Apache Flink for low-latency stream processing.
  • Scripting: Proficiency in Python for automation, data analysis, or scripting.
  • Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks).
  • Data Modeling: Familiarity with dimensional modeling, Lakehouse architectures (Delta Lake, Iceberg), or NoSQL databases.

Preferred Qualifications:
  • Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation
  • Expert knowledge and experience with custom ETL design, implementation and maintenance
  • Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
  • Certification in AWS or other cloud providers
  • Experience with Databricks notebook workflows
  • Experience with Terraform

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