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

Pwc

Data Governance- Manager

Detroit, MI

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Ford Motor Company

Data Engineer

Dearborn, MI

$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.

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

Infosys Limited

Azure Databricks Engineer

Ann Arbor, MI · On-site

$90 - $120/hr

Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ... Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control (Git/GitLab)

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

... Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version control (Git/GitLab ... Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI · On-site

Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks) * Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray) Helpful Experience ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks) * Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray) Helpful Experience ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks) * Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray) Helpful Experience ...

Hearst Television

Full-Stack Data Engineer

Troy, MI

Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks) * Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray) Helpful Experience ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks) * Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray) Helpful Experience ...

Hearst

Full-Stack Data Engineer

Troy, MI

Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks) * Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray) Helpful Experience ...

Hearst

Full-Stack Data Engineer

Troy, MI

Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks) * Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray) Helpful Experience ...

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Showing results 41-60

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

Azure Data Engineer information

See Novi, MI salary details

$41.8K

$121.7K

$166.5K

How much do azure data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for azure data engineer in Novi, MI is $121,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $129,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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 management and analytics.
What are popular job titles related to Azure Data Engineer jobs in Novi, MI? For Azure Data Engineer jobs in Novi, MI, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Novi, MI look for? The top searched job categories for Azure Data Engineer jobs in Novi, MI are:
What cities near Novi, MI are hiring for Azure Data Engineer jobs? Cities near Novi, MI with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Novi, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $121,699 per year, or $58.5 per hour.

Snowflake Administrator / Data Platform Engineer

Futran Tech Solutions Pvt. Ltd.

Novi, MI • On-site

Full-time

Posted 28 days ago

Job description

Position: Snowflake Administrator / Data Platform Engineer
Location: Novi, MI (onsite )
Contract: 6-12+ Months
Role Summary
We are seeking a highly skilled Snowflake Administrator / Data Platform Engineer with a minimum of 4 years of hands-on Snowflake administration experience to manage, optimize, secure, and support enterprise-scale Snowflake data platforms. The candidate will be responsible for platform administration, security governance, performance tuning, user access management, automation, monitoring, and operational excellence across cloud-based data ecosystems. Responsibilities align with Snowflake administrative functions such as role management, SCIM-based provisioning, warehouse administration, security, governance, monitoring, and performance optimization
Experience
  • 4+ years of Snowflake Administration experience
  • 6+ years of overall Data Platform or Data Engineering experience
  • Experience supporting production-critical Snowflake environments
  • Experience working in Azure cloud environments

Key Responsibilities
Snowflake Platform Administration
  • Administer and maintain Snowflake accounts, databases, schemas, warehouses, resource monitors, and storage integrations.
  • Create and manage users, roles, grants, RBAC hierarchy, and access policies.
  • Implement enterprise security controls and governance frameworks.
  • Manage Snowflake account parameters and platform configurations.

Identity & Access Management
  • Configure and support SSO, SCIM provisioning, and federation integrations.
  • Implement role-based access control (RBAC) and least-privilege security models.
  • Manage user onboarding, role assignment, and access reviews.
  • Support audit and compliance requirements.

Performance & Cost Optimization
  • Monitor query performance and optimize workloads.
  • Manage virtual warehouses and auto-scaling configurations.
  • Tune clustering, caching, data retention, and storage utilization.
  • Analyze platform utilization and recommend cost-saving measures.

Monitoring & Operations
  • Implement monitoring, alerting, and operational dashboards.
  • Troubleshoot platform incidents and performance issues.
  • Support production releases, upgrades, and platform maintenance activities.
  • Conduct root-cause analysis for platform-related incidents.

Data Governance & Security
  • Implement masking policies, row-level security, and data classification.
  • Support governance initiatives including tagging and metadata management.
  • Manage audit trails, access history, and compliance reporting.
  • Collaborate with security and governance teams.

Automation & DevOps
  • Develop automation scripts using Python, SnowSQL, or Terraform.
  • Support CI/CD pipelines for Snowflake deployments.
  • Automate user provisioning, role assignments, and operational tasks.
  • Implement Infrastructure-as-Code practices for Snowflake environments.

Required Technical Skills
Snowflake
  • User & Role Administration
  • RBAC and Security Management
  • Warehouse & Resource Monitor Administration
  • Query Performance Tuning
  • Streams, Tasks, Dynamic Tables
  • Snowpipe
  • Data Sharing
  • Time Travel & Fail-safe
  • Clustering and Storage Optimization
  • Monitoring and Governance

Cloud Platforms
  • Azure
  • IAM Concepts
  • Cloud Networking Fundamentals

Database Technologies
  • SQL (Advanced)
  • PostgreSQL / SQL Server / Oracle knowledge
  • Data Warehousing Concepts
  • Data Modeling (Star/Snowflake Schema)

Automation & DevOps
  • Python
  • Shell Scripting
  • Terraform
  • Git
  • CI/CD Tools

Security & Governance
  • SSO/SAML
  • SCIM Provisioning
  • Data Masking
  • Row-Level Security
  • Audit & Compliance

Preferred Qualifications
  • SnowPro Advanced Administrator Certification.
  • Experience with dbt, Airflow, Kafka, Informatica, or StreamSets.
  • Experience supporting large-scale enterprise data platforms.
  • Exposure to Databricks, Azure Data Factory, or AWS Data Services.
  • Knowledge of Data Governance tools such as Atlan, Collibra, or Alation.

Soft Skills
  • Strong troubleshooting and problem-solving abilities.
  • Excellent stakeholder communication skills.
  • Ability to work with global delivery teams.
  • Experience supporting Production, KTLO, and operational environments.

Nice-to-Have Certifications
  • SnowPro Advanced Administrator
  • SnowPro Core Certification
  • AWS/Azure/GCP Cloud Certification
  • Terraform Associate

Apply