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Internship Azure Data Engineer Jobs in Michigan (NOW HIRING)

Azure Data Engineer

Ann Arbor, MI · On-site

$55 - $57/hr

Ann Arbor, MI 48105 Job Title: IT - Senior Consultant | Cloud Integration | Azure Data Factory (ADF) Job Title: Data Engineer Work Location : Ann ArborMI48105 Vendor Rate: $55 - $57/hr on W2 Contract ...

Posted today

Azure Data Engineer

Jackson, MI · On-site

$102K - $123K/yr

Position-Azure Data Engineer Location-Jackson, MI (3 days onsite) * Hands on Experience in Azure Synapse Analytics, Azure Data Factory and Data Bricks, Azure Storage, Azure Key Vault, SQL Pools CI/CD ...

Azure Data Engineer

Jackson, MI · On-site

$60 - $65/hr

Hands on Experience in Azure Synapse Analytics, Azure Data Factory and Data Bricks, Azure Storage ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Azure Data Architect

Detroit, MI · On-site

$58 - $75.75/hr

Strong understanding of data integration, ETL/ELT, data modeling, and data engineering patterns. * Experience with Azure cloud data services and enterprise-scale data platforms. Strong understanding ...

Data Engineering & Platform Manager

Grand Rapids, MI · On-site

$110K - $132K/yr

Databricks Certified Data Engineer or equivalent Azure data certification preferred. Travel: Up to 15% as required by the business. ESSENTIAL DUTIES AND RESPONSIBILITIES * Own and administer the ...

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: · Design and implement scalable data pipelines for large-scale ...

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 ...

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 ... Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, SQL Server, or enterprise data ...

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 ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Data Engineer

Detroit, MI

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Data Engineer

Detroit, MI

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

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

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

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and ...

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Internship Azure Data Engineer information

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

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 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.

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 most commonly searched types of Azure Data Engineer jobs in Michigan?

The most popular types of Azure Data Engineer jobs in Michigan are:

Azure Data Engineer

Ann Arbor, MI • On-site

Spruce Infotech
IT Services • 1 - 10 employees

$55 - $57/hr

Other

Posted 22 hours ago

Posted today


Job description

Request ID: 122816-1
Start/End Dates: 9/7/2026 - 12/31/2026
Work Location: Ann Arbor, MI 48105
Job Title: IT - Senior Consultant | Cloud Integration | Azure Data Factory (ADF)
Job Description: Job Title: Data Engineer Work Location : Ann ArborMI48105 Vendor Rate: $55 - $57/hr on W2 Contract duration: 6 Target Start Date: 07 Sep 2026 Does this position require Visa independent candidates only? Yes **Full On-site (4days WFO/ week)**
Job Details:
Must Have Skills:
Databricks, ADF, PySpark
Nice to have skills:
SQL, Gen AI, Control-M
Detailed Job Description
Key Responsibilities
Design, build, and maintain data pipelines using Azure Databricks Perform data ingestion, transformation, and processing for enterprise data platforms Work closely with onsite client teams and stakeholders to understand data requirements Support data engineering workloads aligned to DNA (Data & Analytics) programs Collaborate with offshore teams, as applicable, to ensure end-to-end delivery
Required Technical Skills
Databricks - strong hands-on experience (mandatory) Experience working with Unity Catalog, Delta Lake, DLT Pipelines, Pyspark, SQL, Python, Databricks Rest API, Version Control (Git/Gitlab), Data Governance Azure Data Engineering stack Azure Databricks Azure data services(ADF, Key Vault, ADLS, Blob storage) Strong foundation in Data Engineering concepts (ETL/ELT, distributed processing) Ability to work independently in an onsite client environment
MUST have
Willingness to relocate or work onsite in Ann Arbor, MI Candidate need to work 4 days/week from client HQ Ability to join quickly due to urgent client demand Strong communication skills for onsite coordination
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute Provide strategic Input architectural guidance for new implementation areas ensuring a robust foundation for migration and setup projects
Interview Process (Is face to face required?) No
Any additional information you would like to share about the project specs/ nature of work
Release Comments:
Please use the below link to begin submitting Candidates.
https://prod.beeline.com/infosys?7836916d28c54cc588e048b72cef7013