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Work From Home Azure Data Engineer Jobs in Michigan

WORK FROM HOME

Detroit, MI · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Warren, MI · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

WORK FROM HOME

Flint, MI · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

Senior Staff Data Engineer

Portage, MI · On-site +1

$153K - $255K/yr

Work Flexibility: Remote Join a team focused on building scalable, enterprise-grade data platforms ... Define and evolve enterprise data architecture patterns across Azure and Databricks environments.

This role is designed for individuals looking to learn a new skill and work from home with support. Responsibilities: * Connect with individuals requesting information * Provide guidance on coverage ...

This role is designed for individuals looking to learn a new skill and work from home with support. Responsibilities: * Connect with individuals requesting information * Provide guidance on coverage ...

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Work From Home Azure Data Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do work from home azure data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for work from home 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 is a work from home Azure Data Engineer?

A Work From Home Azure Data Engineer is a remote role where professionals design, build, and manage data solutions using Microsoft Azure services. They develop data pipelines, optimize storage solutions, and ensure efficient data processing for business insights. This role requires expertise in Azure data services like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Strong knowledge of ETL processes, data modeling, and cloud security is essential. It allows professionals to collaborate with teams virtually while managing cloud-based data workflows.

What does a typical day look like for a work from home Azure Data Engineer?

A typical day for a Work From Home Azure Data Engineer involves designing, developing, and maintaining data pipelines using Azure services to ensure data is clean, accessible, and ready for analysis. You may attend virtual meetings with data scientists, analysts, and business stakeholders to discuss requirements and progress, and collaborate via team chat platforms. Daily tasks often include writing and optimizing SQL queries, troubleshooting pipeline issues, and working on new data integration projects. The remote setting requires frequent communication and clear documentation, but also offers flexibility in managing your own schedule and workspace.

What are the key skills and qualifications needed to thrive as a work from home Azure Data Engineer?

To thrive as a Work From Home Azure Data Engineer, you need expertise in data engineering, SQL, cloud computing (especially Microsoft Azure), and a relevant degree in computer science or a related field. Familiarity with Azure Data Factory, Azure Synapse Analytics, Databricks, Power BI, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving, communication, and time management skills are crucial for remote collaboration and delivering effective solutions. Together, these skills enable you to build robust data pipelines and analytics solutions while efficiently working in a distributed team environment.

What are popular job titles related to Work From Home Azure Data Engineer jobs in Michigan?

For Work From Home Azure Data Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Work From Home Azure Data Engineer jobs in Michigan look for?

The top searched job categories for Work From Home Azure Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Work From Home Azure Data Engineer jobs?

Cities in Michigan with the most Work From Home Azure Data Engineer job openings:

$107K - $146K/yr

Contractor

Posted 12 days ago


Job description

Job Description

Job Title: Senior Data EngineerJob Location: Lansing, MI (Hybrid)Job Type: ContractJob Description/ Requirement:

  • 3–7 years of experience in Data Engineering, Business Intelligence, Data Analytics, or a related field.
  • Strong experience in project management reporting and portfolio analytics.
  • Hands-on experience with SQL, data integration, ETL, and data transformation.
  • Experience developing dashboards and executive reports using Microsoft Power BI or similar BI tools.
  • Ability to gather business requirements and translate them into reporting solutions.
  • Experience creating KPIs, scorecards, and portfolio performance metrics.
  • Strong knowledge of data modeling, reporting automation, and data quality.
  • Experience analyzing project, portfolio, financial, and operational data.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently while managing multiple priorities.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, Mathematics, Statistics, Engineering, or a related field.
  • Equivalent experience and certifications will also be considered.

Preferred:

  • Experience with Project Portfolio Management (PPM) tools such as Clarity, ServiceNow PPM, Planview, or Microsoft Project Online.
  • Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, SQL Server, or enterprise data warehousing.
  • Knowledge of APIs, ETL processes, scripting, and reporting automation.
  • Experience in government or large enterprise environments.
  • Familiarity with Agile, Scrum, Kanban, SAFe, or PMBOK methodologies.
  • Experience with financial and portfolio performance reporting.

Interested candidates can send their updated resumes at jobs@global-itech.com