1

Junior Azure Data Engineer Jobs in Michigan (NOW HIRING)

Data Engineer

Auburn Hills, MI

$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 ...

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow ...

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

GCP Data Engineer

Dearborn, MI

$105K - $126K/yr

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow

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

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 ...

Senior Data Engineer

Grand Rapids, MI · On-site

$133K - $204K/yr

We are seeking a dynamic and highly skilled Senior Data Engineer who has extensive experience ... Azure (ADLS) and Databricks are strong pluses. * Hands-on experience with Databricks (Delta Lake ...

New

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Integrates Databricks with cloud platforms (Azure, AWS, or GCP) and other enterprise systems ... Mentors junior data engineers and provide technical guidance on best practices, including MLOps ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Integrates Databricks with cloud platforms (Azure, AWS, or GCP) and other enterprise systems ... Mentors junior data engineers and provide technical guidance on best practices, including MLOps ...

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 ...

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 ...

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Contract / Requirement: * 3-7 years of experience in Data Engineering, Business Intelligence, Data ... Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, SQL Server, or enterprise data ...

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing ... Azure experience preferred. * Advanced technical expertise in Cloud based data warehouses ...

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing ... Azure experience preferred. * Advanced technical expertise in Cloud based data warehouses ...

Showing results 21-40

Junior Azure Data Engineer information

See Michigan salary details

$29.2K

$62.6K

$95.4K

How much do junior azure data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for junior azure data engineer in Michigan is $62,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,300.00 and $69,700.00 per year, depending on experience, location, and employer.

What does a junior Azure Data engineer do?

As a Junior Azure Data Engineer, your day-to-day tasks might include assisting with the design, development, and maintenance of data pipelines using Azure Data Factory, writing SQL queries for data extraction or transformation, and performing routine data validation to ensure data integrity. You’ll often collaborate with senior engineers, data analysts, and business stakeholders to gather requirements and deliver accurate data solutions aligned with company needs. In addition, you may assist in monitoring cloud resources, troubleshooting data flow issues, and updating documentation. This role is a great entry point for developing your skills in cloud data engineering and building a solid foundation for future growth.

What is a junior Azure Data engineer?

A Junior Azure Data Engineer is an entry-level role focused on designing, building, and maintaining data solutions on Microsoft Azure. They assist in data ingestion, transformation, and storage using Azure services like Azure Data Factory, Synapse Analytics, and Databricks. Their responsibilities typically include data pipeline development, ETL processes, and ensuring data security and compliance. They often work under senior engineers to optimize data solutions and troubleshoot issues. This role requires knowledge of cloud computing, SQL, and data processing frameworks.

What are the key skills and qualifications needed to thrive as a junior Azure Data engineer?

To excel as a Junior Azure Data Engineer, you need foundational knowledge of data modeling, ETL processes, SQL, and cloud platforms, typically backed by a degree in computer science or a related field. Familiarity with Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and basic understanding of data lake storage, along with entry-level certifications like Microsoft Azure Fundamentals, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you effectively translate business requirements into technical solutions and collaborate with team members. These competencies are crucial for ensuring reliable data pipeline development, supporting data-driven decision-making, and growing within the data engineering profession.

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 Junior Azure Data Engineer jobs in Michigan? For Junior Azure Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Junior Azure Data Engineer jobs in Michigan look for? The top searched job categories for Junior Azure Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Junior Azure Data Engineer jobs? Cities in Michigan with the most Junior Azure Data Engineer job openings:
    Infographic showing various Junior Azure Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $62,580 per year, or $30.1 per hour.

    $108K - $130K/yr

    Full-time

    Medical, Dental, Vision, Retirement, PTO

    Re-posted 5 days ago


    Stellantis rating

    7.5

    Company rating: 7.5 out of 10

    Based on 130 frontline employees who took The Breakroom Quiz

    14th 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  

    Our Benefits — Designed with You in Mind

    Comprehensive Health & Well-being Coverage
    From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected.

    Generous Paid Time Off
    We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

    Competitive Retirement Savings Plans
    We help you plan for the future with:

    • An employer match on contributions to your 401k, Roth, and Catch-Up plans
    • An employer contribution, even if you don’t contribute

    Income Protection & Insurance Options
    Benefit from included and optional disability, life, and other insurance programs — because your peace of mind matters.

    Company Vehicle Lease Program
    Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

    Family Building Benefit
    We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

    Support for Your Growth and Giving Back
    We believe in investing in your future and your passions:

    • Tuition reimbursement
    • Student loan refinancing programs
    • 18 paid volunteer hours each year to make a difference in your community

    And so much more!
    When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.


    What Stellantis employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom