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Azure Data Engineer Jobs in Canton, MI (NOW HIRING)

HTC Global Services

Azure & Snowflake Data Engineer

Troy, MI · On-site

$108K - $130K/yr

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 ...

Reliable Software Resources

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 ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Saransh Inc

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 ...

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 ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is responsible for developing, maintaining, and optimizing the organization's data platform, with a ...

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 ...

Stellantis

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:

Reply

Data Engineer

Detroit, MI · On-site

$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 ...

Reply

Data Engineer

Detroit, MI · On-site

$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 ...

Pwc

Data Engineer - Senior Manager

Detroit, MI

$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 ...

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 ...

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 ...

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 ...

Apex Systems

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Full-stack software engineering roles, who can develop all components of software including user ... Azure Data Factory, Databricks; Google BigQuery, Dataflow). * Strong understanding of data ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

$95K - $130K/yr

Required : • Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) • Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Canton, MI

Azure Data Engineer information

See Canton, MI salary details

$41.2K

$120.2K

$164.5K

How much do azure data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for azure data engineer in Canton, MI is $120,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,400.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

What are popular job titles related to Azure Data Engineer jobs in Canton, MI?

For Azure Data Engineer jobs in Canton, MI, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Canton, MI look for?

The top searched job categories for Azure Data Engineer jobs in Canton, MI are:

What cities near Canton, MI are hiring for Azure Data Engineer jobs?

Cities near Canton, MI with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Canton, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $120,215 per year, or $57.8 per hour.

Azure & Snowflake Data Engineer

HTC Global Services

Troy, MI • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

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.

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