ZipRecruiter

Log In

1

Microsoft Azure Data Engineer Jobs in Michigan (NOW HIRING)

Stefanini Group

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

Stefanini Group

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

Stefanini

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 ...

Stefanini Group

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

Ford Motor Company

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.

Kiongroup

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

Stefanini

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 ...

TradeFirst

Azure Migration Specialist

Oak Park, MI · On-site

... data into a secure cloud environment, requiring strong technical expertise and excellent ... Required : • Experience with cloud migration projects and hands-on work in Microsoft Azure ...

TradeFirst.com

Azure Migration Specialist

Oak Park, MI · On-site

$55 - $60/hr

... data into a secure, scalable, and well-governed cloud environment. The ideal candidate brings ... Experience with cloud migration projects and hands-on work in Microsoft Azure environments.

Domino's

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 ...

Domino's Pizza

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 ...

Domino's Corporate

Senior Data Engineer

Ann Arbor, MI

$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 ...

Corning

$104K - $125K/yr

... as AWS, Azure, or Google Cloud. AWS experience is preferred. - Strong communication and ... Microsoft SQL Server, or PostgreSQL. What do we offer? - A hybrid role based in Monterrey or ...

previous page

Showing results 41-60

All JobsMicrosoft Azure Data Engineer JobsMicrosoft Azure Data Engineer Jobs in Michigan

Microsoft Azure Data Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

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

As of Aug 8, 2026, the average yearly pay for microsoft azure data engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Microsoft Azure Data Engineer position, and why are they important?

To excel as a Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and cloud data services, usually validated by a computer science degree or similar field. Familiarity with Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, attention to detail, and excellent communication skills help in collaborating with both technical and non-technical teams. These capabilities ensure efficient, secure, and scalable data solutions that meet business needs in dynamic enterprise environments.

What is a Microsoft Azure Data Engineer?

A Microsoft Azure Data Engineer is responsible for designing, implementing, and managing data solutions on the Azure cloud platform. They work with structured and unstructured data, building data pipelines, optimizing storage, and ensuring efficient data processing. Their role includes using Azure services like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to support business intelligence and analytics. They also ensure data security, compliance, and performance optimization.

What are the typical daily responsibilities of a Microsoft Azure Data Engineer?

A Microsoft Azure Data Engineer usually spends their day designing, implementing, and maintaining data pipelines using Azure services to ensure the reliable flow and transformation of data. They collaborate closely with data scientists, analysts, and business stakeholders to understand requirements and deliver scalable solutions. Regular tasks might include optimizing database performance, troubleshooting data integration issues, writing code for data ingestion, and maintaining data security and compliance within the cloud environment. This multifaceted work environment offers varied challenges and opportunities for continuous learning and professional development.

Is a Microsoft Azure Data Engineer in demand?

Microsoft Azure Data Engineers are in high demand due to the increasing adoption of cloud data solutions and the need for expertise in data integration, storage, and processing using tools like Azure Data Factory and Azure Synapse. Organizations seek professionals with skills in cloud platforms, data modeling, and certifications such as Azure Data Engineer Associate to support their data infrastructure needs.
What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Michigan? The most popular types of Microsoft Azure Data Engineer jobs in Michigan are:
What are popular job titles related to Microsoft Azure Data Engineer jobs in Michigan? For Microsoft Azure Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Microsoft Azure Data Engineer jobs in Michigan look for? The top searched job categories for Microsoft Azure Data Engineer jobs in Michigan are:
Microsoft Azure Data Engineer jobs near you
Infographic showing various Microsoft 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 $113,060 per year, or $54.4 per hour.

GCP Data Engineer

Stefanini Group

Dearborn, MI • On-site

$61 - $66/hr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Details:
Stefanini Group is hiring!
Stefanini is looking for a GCP Data Engineer, Dearborn, MI
For quick apply, please reach out to Parul Singh at 248-582-6481/parul.singh@stefanini.com
We are looking for Data Engineer who will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle, including designing software architecture, writing code, testing for quality, and deploying software to meet customer requirements. Full-stack software engineering roles, in which employees develop all components of software-including the user interface and server side-also fall within this job function.
Key Responsibilities
  • Oversee and contribute to the design, development, and implementation of complex, scalable, and resilient data architectures, including data warehouses, data lakes, and streaming platforms.
  • Lead the creation, maintenance, and optimization of advanced ETL/ELT processes and data pipelines to ingest, transform, and deliver large volumes of data from diverse sources. Ensure data integrity, quality, and performance across all data flows.
  • Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, and related components.
  • Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application.
  • Define and implement software test strategies, guidelines, policies, and processes in line with organizational vision, industry regulations, and market best practices.
  • Continuously improve performance, optimize applications, and implement new technologies to maximize development efficiency.
  • Develop and maintain back-end applications such as APIs and microservices using server-side languages.

Job Requirements
Details:
Required Skills
  • NoSQL, Kubernetes, Kafka, GCP, Cloud Architecture, Data Architecture, Big Data, Cloud Infrastructure, Apache Spark, BigQuery, Apache Hadoop, Java, Docker, Python, Data Management

Preferred Skills
  • GitHub, Machine Learning

Required Experience
  • 5+ years of progressive experience in data engineering or a related role, with a significant focus on large-scale data systems.
  • Expert proficiency in programming languages such as Python or Scala.
  • Advanced SQL skills for complex querying, data manipulation, and database design.
  • Extensive experience with big data technologies, such as Apache Spark, Hadoop, Kafka, and Flink.
  • Proven experience with cloud platforms, including AWS, Azure, or GCP, and their data services, such as: AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow
  • Strong understanding of data warehousing concepts, data modeling-including dimensional and relational models-and ETL/ELT processes.
  • Experience with version control systems such as Git.

Education Required
  • Bachelor's Degree

**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
#LI-PS11
#LI-ONSITE
Pay Range:
$ 61.00 - $ 66.00

Apply