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Remote Azure Data Factory Jobs in Michigan (NOW HIRING)

Senior Staff Data Engineer

Portage, MI ยท On-site +1

$153K - $255K/yr

Remote Join a team focused on building scalable, enterprise-grade data platforms that support ... such as Azure Data Factory, Synapse, and ADLS Gen2. * Experience designing scalable data ...

Azure Architect

Troy, MI ยท On-site +1

$60.25 - $78.50/hr

Remote Technical Skills and Knowledge: * Deep Understanding of Azure Services: A comprehensive grasp of Azure's core services across compute (Virtual Machines, Azure Functions, Azure Container ...

Systems Integration Developer

Ann Arbor, MI ยท On-site +1

$150K - $180K/yr

Familiarity with Azure services including Logic Apps, Azure AD, Data Factory, SQL, App Services ... Hybrid schedule, may be considered for remote eligible The annualized base salary range for this ...

$130K - $150K/yr

... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

Three Rivers, MI ยท On-site +1

$130K - $150K/yr

... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

Three Rivers, MI ยท On-site +1

$130K - $150K/yr

... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

$130K - $150K/yr

... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Hadoop, Azure, etc. * Experience in a professional services or law firm is preferred. Must be adept ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

... data pipelines, etc.Experience with Docker and Kubernetes or equivalent container orchestration services.Extensive experience with Azure, AWS, GCP, another major cloud platform, or equivalent public ...

... data pipelines, etc.Experience with Docker and Kubernetes or equivalent container orchestration services.Extensive experience with Azure, AWS, GCP, another major cloud platform, or equivalent public ...

Staff Software Engineer

Detroit, MI ยท On-site +1

$170K - $200K/yr

Design, develop, and maintain complex software systems using C#, .NET, Azure, AWS, or another cloud ... Open to remote or hybrid if in the Detroit metro or Ann Arbor area.

Azure * Google Cloud * GenAI platforms * Data modernization * Enterprise integration * API ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

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Remote Azure Data Factory information

What is a remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What are the key skills and qualifications needed to thrive as a remote Azure Data Factory engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What are popular job titles related to Remote Azure Data Factory jobs in Michigan?

For Remote Azure Data Factory jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Factory jobs in Michigan look for?

The top searched job categories for Remote Azure Data Factory jobs in Michigan are:

What cities in Michigan are hiring for Remote Azure Data Factory jobs?

Cities in Michigan with the most Remote Azure Data Factory job openings:

Infographic showing various Remote Azure Data Factory job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Staff Data Engineer

Stryker

Portage, MI โ€ข On-site, Remote

$153K - $255K/yr

Full-time

Posted 11 days ago


Job description

Work Flexibility: Remote

Join a team focused on building scalable, enterprise-grade data platforms that support complex healthcare, clinical, device, and commercial data domains. In this role, you will shape modern data architecture strategies, develop reusable data products, and help establish secure, governed, and high-performing data ecosystems using cloud-based technologies.

What You Will Do

  • Define and evolve enterprise data architecture patterns across Azure and Databricks environments.
  • Establish scalable data ingestion, transformation, and modeling frameworks supporting multi-domain data.
  • Drive platform decisions related to performance optimization, scalability, and cost efficiency.
  • Lead the design and implementation of reusable data assets and data products that enable self-service analytics.
  • Own end-to-end delivery of complex data engineering initiatives from requirements through deployment.
  • Design and implement data pipelines supporting healthcare data sources including EHR, registries, imaging, robotics, telemetry, and patient-reported outcomes.
  • Define and implement data governance, lineage, cataloging, and access-control frameworks while supporting privacy and compliance requirements.
  • Provide technical leadership, mentor data engineering teams, and contribute to engineering standards and continuous improvement initiatives.

What You Will Need

Required Qualifications

  • Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a related field.
  • Minimum 6 years of related data engineering and architecture experience.

Preferred Qualifications

  • Experience with Databricks, including Delta Lake and Unity Catalog, and Azure data services such as Azure Data Factory, Synapse, and ADLS Gen2.
  • Experience designing scalable data architectures using medallion or lakehouse patterns.
  • Experience with distributed data processing technologies, including Spark, SQL, and Python.
  • Experience architecting and optimizing large-scale ETL/ELT pipelines, orchestration frameworks, and performance tuning solutions.
  • Experience implementing data governance, metadata management, lineage, and data quality frameworks.
  • Knowledge of healthcare data, clinical datasets, privacy regulations, and compliance requirements.
  • USN: $118,000 - $196,700 USD Annual
  • US5: $123,900 - $206,500 USD Annual
  • US10: $129,800 - $216,400 USD Annual
  • US15: $135,700 - $226,200 USD Annual
  • US20: $141,600 - $236,000 USD Annual
  • US30: $153,400 - $255,700 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.