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Remote Azure Data Factory Jobs in Michigan (NOW HIRING)

Lead Azure Data Engineer

Rockford, MI ยท Remote

$91K - $120K/yr

The Lead Azure Data Engineer operates as a technology expert and architect responsible for the ... Must be located in Eastern on Central Time Zones. #LI-Remote #LI-MM1 Salary Minimum $128,000.00 ...

Support data pipeline work involving Azure Data Factory (ADF) and data lake environments. * Contribute to API development and integration tasks, including fintech and vendor feeds. * Help implement ...

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 ...

NET, cloud-native solutions in Microsoft Azure, data solutions utilizing SQL Server, and front-end ... Applicants for this remote role will only be considered if they live in these locations: Arizona ...

Senior Data Engineer

Detroit, MI ยท Remote

$104K - $142K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Hybrid schedule, 4 days in office in Wyoming, MI or Atlanta, GA with 1 day remote What you'll bring ... GCP, AWS, Azure) preferred. * Preferred tool experience include but not limited to Apache Airflow ...

Principal Data Engineer

Ann Arbor, MI ยท On-site +1

$170K - $210K/yr

Strong experience with cloud data infrastructure (AWS, GCP, or Azure) and the surrounding ecosystem * Demonstrated ability to lead technical teams, set direction, and grow engineers without relying ...

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Remote Azure Data Factory information

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 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 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 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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Lead Azure Data Engineer

Wwwinc

Rockford, MI โ€ข Remote

$91K - $120K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Wolverine Worldwide is a global marketer of branded footwear, apparel, and accessories. With an established global footprint that spans approximately 200 countries and territories, as well as a rock-solid infrastructure, Wolverine Worldwide is dedicated to advancing the following brands that comprise the ever-expanding portfolio: Bates, Chaco, Cat Footwear, Harley Davidson Footwear, Hush Puppies, Merrell, Saucony, Sweaty Betty and Wolverine. Wolverine Worldwide's continued success is driven by our ability to stay true to our simple mission: we empower, engage and inspire our consumers - every step of the way.
The Lead Azure Data Engineer operates as a technology expert and architect responsible for the design, development, and implementation of enterprise-scale data solutions using Microsoft Azure technologies. This role functions at an enterprise level with accountability for solution delivery, adherence to technology best practices, a 24/7 support model, and defined service level agreements with business leadership.
In addition to deep technical expertise, the role requires elite communication and problem-solving skills. The Lead Azure Data Engineer must translate complex technical concepts into clear, actionable guidance for both technical and non-technical stakeholders, influence architectural decisions, and lead cross-functional discussions with confidence. The position demands advanced analytical thinking and structured problem-solving capabilities to diagnose complex data and platform issues, design scalable solutions under ambiguity, and drive timely resolution of business-critical challenges.Primary Duties:
  • Confers with customers and team members to determine requirements; designs business application systems that address and solve corporate business needs; utilizes business and systems knowledge to best meet customer and organizational needs
  • Manages and maintains controls and procedures, ensuring that assigned IT areas are performing significant tasks on schedule and within expense parameters
  • Acts as coordinator, as requested, for Enterprise-Wide priorities; identifies and analyzes issues, devises solutions through cross-functional teamwork and determines corrective action, clearly communicating to stakeholders throughout
  • Assesses requirements and work requests and assigns priorities and resolution targets
  • Assists Manager in preparation of annual budgets and monthly cost allocations
  • Accountable for disaster recovery initiatives and change management standards and procedures
  • Leads and/or assists team members and customers with problem solving related to application performance and usage
  • Establishes, monitors and improves service delivery levels including reliability, availability, accuracy, serviceability and cost
  • Interfaces with all levels of management to develop requirements and obtain approval for implementation of new systems
  • Assists IT Management in the formulation and execution of complex objectives to meet short and long-term company strategic goals
  • Estimates work effort (resources, timeline, cost) for multiple projects across teams/areas of expertise
  • Provides input to the recruiting process
  • Continues development of technical and business proficiency through self-directed education, project assignments and interfacing with representatives of vendors and suppliers; participates in local/regional/national influence groups
  • Manages and accounts for Wolverine resources and assets
  • Interacts in a cross-team capacity to meet customer and organizational needs
  • Provides 24-hour on call support, including evenings and weekends
  • Performs other duties as required/assigned by Manager
  • Performs duties consistent with the company's AAP/EEO goals and policies
Knowledge, Skills, and Abilities:
  • Bachelor's degree in Computer Science or equivalent work experience.
  • 10+ years of proven experience in the design and implementation of data warehouse architecture as well as data delivery, data modeling, ETL tools, master data management and deploying highly automated and documented solutions
  • Considered an expert with Cloud Data Engineering (Ex: MS Azure Synapse and/or Fabric)
  • 8+ years of experience with Microsoft Azure data engineering products: Azure Synapse Studio, Pipelines/Workflows, Python Notebooks, Analytic Pools (serverless), SQL Server Development, and DevOps
  • Strong understanding of Azure Monitor, Application Insights, Cost Management, or equivalent tooling
  • Strong understanding of SAP AFS Functional Areas, Sales and Distribution, Order to Cash, Material Management, Procure to Pay a plus
  • Certificates in area of expertise or equivalent training and development.
  • Proven successful assignment record
  • Good analytical, problem solving and organizational skills
  • Ability to establish and maintain effective working relationships
  • Good oral and written communication skills
Working Conditions:

Full Time. 100% Remote. Michigan based candidates preferred. Must be located in Eastern on Central Time Zones.

#LI-Remote #LI-MM1

Salary Minimum

$128,000.00

Salary Maximum

$168,000.00

The above statements are intended to describe the general nature and level of work being performed and are not intended to be an exhaustive list of all responsibilities, duties and skills which may be required.

Wolverine Worldwide, Inc. is committed to creating a company that is as diverse as our consumers. We value the differences in one another and believe our differences make us stronger. Our diverse and inclusive corporate culture starts with the recruitment process. We are committed to being an equal opportunity employer. We aim to create equal opportunities for our associates, customers, and suppliers regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other legally protected characteristic.