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Senior Microsoft Azure Data Engineer Jobs in Michigan

Azure & Snowflake Data Engineer

Troy, MI · On-site

$108K - $130K/yr

Azure Data Engineer (Snowflake & Azure Data Factory) Overview / Summary Apply your Azure and ... Design, develop, test, and support scalable data pipelines on Microsoft Azure. * Build and maintain ...

Azure & Snowflake Data Engineer

Troy, MI · On-site

$107K - $128K/yr

Azure Data Engineer (Snowflake & Azure Data Factory) Overview / Summary Apply your Azure and ... Design, develop, test, and support scalable data pipelines on Microsoft Azure. * Build and maintain ...

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

... Microsoft Azure data services. * (Required) Experience designing and implementing star schema data models. * (Nice to Have) Experience with Databricks and Python * Excellent problem-solving skills ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Azure Architect

Grand Rapids, MI · On-site

$61 - $79.50/hr

Azure, C#, MVC, Microsoft Azure, SQL, Design, Programming, Support, Systems Development, Testing ... Azure Data Factory, Blob Storage, Kafka, FlinqSQL, Function Apps, Cosmos DB, Durable Functions ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

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

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

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 ...

This role will play a key part in building and maintaining scalable data solutions using Microsoft ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Azure Data Engineer Overview / Summary We are seeking an experienced Azure Data Engineer with 5-10 years of relevant experience, including 5-7 years focused on Azure-based data engineering solutions.

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Azure Data Engineer Overview / Summary We are seeking an experienced Azure Data Engineer with 5-10 years of relevant experience, including 5-7 years focused on Azure-based data engineering solutions.

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

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

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Senior Microsoft Azure Data Engineer information

What is the difference between Senior Microsoft Azure Data Engineer vs Data Engineer?

AspectSenior Microsoft Azure Data EngineerData Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentPrimarily cloud-based, Azure platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning, building, and maintaining data solutions on AzureDeveloping data pipelines, databases, and ETL processes
Industry UsageUsed in organizations leveraging Azure cloud servicesUsed across various industries and cloud providers

The main difference is that a Senior Microsoft Azure Data Engineer specializes in designing and managing data solutions specifically on the Azure platform, often requiring Azure certifications. In contrast, a Data Engineer may work with various cloud providers or on-premises systems without a focus on Azure, handling broader data pipeline and database tasks across different environments.

What are the key skills and qualifications needed to thrive as a Senior Microsoft Azure Data Engineer, and why are they important?

To thrive as a Senior Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud architecture, and proficiency with Azure services, supported by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Synapse Analytics, Power BI, and relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are typically required. Strong problem-solving, communication, and project management skills distinguish top professionals in this role. These capabilities are essential for designing robust data solutions, ensuring data integrity, and effectively collaborating with stakeholders in complex cloud environments.

What are the most common challenges faced by Senior Microsoft Azure Data Engineers when designing cloud-based data solutions?

Senior Microsoft Azure Data Engineers often encounter challenges such as optimizing data pipeline performance, ensuring data security and compliance, and managing costs within cloud environments. Balancing scalability with efficiency, especially when dealing with large volumes of real-time data, requires a deep understanding of Azure services and best practices. Additionally, collaborating with data architects, analysts, and DevOps teams to integrate and maintain robust data solutions is a key aspect of the role. Staying updated with Azure’s rapidly evolving ecosystem is essential for long-term success.

What does a Senior Microsoft Azure Data Engineer do?

A Senior Microsoft Azure Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft Azure cloud services. They manage data pipelines, ensure data quality, and optimize storage and processing for large-scale data environments. These professionals also collaborate with other teams to implement best practices in data security, compliance, and performance, leveraging tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their expertise helps organizations make data-driven decisions and improve business outcomes.
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 Senior Microsoft Azure Data Engineer jobs in Michigan? For Senior Microsoft Azure Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Senior Microsoft Azure Data Engineer jobs in Michigan look for? The top searched job categories for Senior Microsoft Azure Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Senior Microsoft Azure Data Engineer jobs? Cities in Michigan with the most Senior Microsoft Azure Data Engineer job openings:
Infographic showing various Senior Microsoft Azure Data Engineer job openings in Michigan as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Azure & Snowflake Data Engineer

HTC Global Services

Troy, MI • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Job Title: Azure Data Engineer (Snowflake & Azure Data Factory)
Overview / Summary
Apply your Azure and Snowflake data engineering experience to build scalable pipelines and modern data solutions in a collaborative global delivery environment.
This role is ideal for a hands-on Data Engineer who can independently design, develop, troubleshoot, and support data pipelines using Azure Data Factory, Snowflake, SQL, Python, and Snowpark. You will work across data warehouse and lakehouse environments while collaborating closely with onsite and offshore team members.
Key Responsibilities
  • Design, develop, test, and support scalable data pipelines on Microsoft Azure.
  • Build and maintain data integration workflows using Azure Data Factory.
  • Develop Snowflake solutions using Tasks, Streams, Stored Procedures, Functions, and Snowpark.
  • Write and optimize complex SQL queries, transformations, and data processing logic.
  • Develop Python-based data processing and automation solutions.
  • Support data ingestion, transformation, validation, and delivery across enterprise data platforms.
  • Apply data warehouse, lakehouse, data modeling, and solution design concepts.
  • Troubleshoot data quality, performance, pipeline, and integration issues.
  • Monitor data workflows and resolve failures or processing exceptions.
  • Participate in Agile planning, development, testing, and delivery activities.
  • Collaborate with business, engineering, architecture, and offshore delivery teams.
  • Track open issues during onsite working hours and provide clear handoffs to offshore team members.
  • Maintain technical documentation, data mappings, process flows, and operational support notes.
  • Work independently while communicating risks, dependencies, and progress to the broader team.

Required Qualifications
  • At least four years of experience building data pipelines using Microsoft Azure.
  • Strong hands-on experience with Azure Data Factory.
  • Strong SQL development and query optimization skills.
  • Strong Python programming experience for data engineering and automation.
  • Hands-on Snowflake experience, including Tasks, Streams, Procedures, Functions, and Snowpark.
  • Strong understanding of:
    • Data warehouse architecture
    • Lakehouse architecture
    • Data modeling
    • Data design concepts
    • ETL and ELT processing
  • Experience building and supporting production data pipelines.
  • Experience working within Agile delivery teams.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to work independently and deliver assigned work with limited supervision.
  • Strong written and verbal communication skills.
  • Ability to coordinate effectively with globally distributed onsite and offshore teams.
  • Ability to provide clear handoffs, status updates, and follow-up on unresolved issues.

Preferred Qualifications
  • Experience optimizing Snowflake performance and resource usage.
  • Experience with Azure Data Lake Storage.
  • Exposure to Azure Synapse Analytics.
  • Experience with Databricks or Spark-based processing.
  • Experience with CI/CD pipelines for data solutions.
  • Experience with Git, Azure DevOps, or similar source control and delivery tools.
  • Experience supporting enterprise data platforms in production.
  • Familiarity with data quality, governance, and monitoring practices.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.