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Azure Data Factory Jobs in Wisconsin (NOW HIRING)

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Experience with data integration tools such as SSIS, dbt, Azure Data Factory, or similar technologies * Experience writing queries and developing solutions using SQL, T-SQL, Azure Data Studio, or ...

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services - Designing and managing data warehouses and data lakes, verifying data is organized and accessible ...

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Experience with data integration tools such as SSIS, dbt, Azure Data Factory, or similar technologies * Experience writing queries and developing solutions using SQL, T-SQL, Azure Data Studio, or ...

New

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Experience with data integration tools such as SSIS, dbt, Azure Data Factory, or similar technologies * Experience writing queries and developing solutions using SQL, T-SQL, Azure Data Studio, or ...

Be Seen First

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

Strong experience with Microsoft Azure data services, including Azure SQL, Azure Data Factory, Data Lake/Lakehouse, Synapse, Fabric, and equivalent cloud data platforms. * Experience integrating ...

New

... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud resources for cost, performance, and scalability Travel Requirements Up to 60% Job Posting End Date The ...

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

Strong hands-on experience with technologies such as Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services * Demonstrated experience leading technical ...

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

Strong hands-on experience with technologies such as Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services * Demonstrated experience leading technical ...

... Azure data services (Data Factory, SQL, Fabric preferred). • Expertise in MDM platforms, data governance frameworks, and regulatory compliance. • Strong background in cloud-based data platforms ...

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Azure App Services * Microsoft Azure Synapse, Data Factory & Fabric * Microsoft stack of Business Intelligence Tools (Power BI) * Data Modeling (Idera ERStudio) * Data Warehouse Design * Data ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

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Azure Data Factory information

See Wisconsin salary details

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How much do azure data factory jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for azure data factory in Wisconsin is $58.95, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $66.25 per hour, depending on experience, location, and employer.

What is an Azure Data Factory job?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

Is ADF better than SSIS?

Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) are both data integration tools, but ADF is a cloud-based service optimized for large-scale, cloud-native data workflows, while SSIS is an on-premises tool suited for traditional ETL processes. For jobs involving cloud data movement, ADF offers better scalability and integration with Azure services, whereas SSIS is preferred for on-premises environments and complex transformations requiring local resources.

Is Azure Data Factory in demand?

Azure Data Factory is a highly in-demand data integration tool used by organizations to automate data workflows and manage data pipelines in cloud environments. Professionals with skills in Azure Data Factory, along with knowledge of cloud platforms and data engineering, are sought after as companies increasingly adopt cloud-based data solutions.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is ADF difficult to learn?

Azure Data Factory (ADF) is a data integration service that requires understanding of data workflows, pipelines, and cloud-based tools. While it has a learning curve for beginners, familiarity with SQL, data transformation concepts, and cloud environments can help accelerate the learning process. Many users find that with hands-on practice and official documentation, mastering ADF is achievable.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What is the salary in Azure Data Factory?

The salary for an Azure Data Factory professional varies based on experience, location, and role level, but typically ranges from $80,000 to $130,000 annually. Skilled professionals with certifications in Azure and data integration tools tend to earn higher salaries in this field.
What are the most commonly searched types of Azure Data Factory jobs in Wisconsin? The most popular types of Azure Data Factory jobs in Wisconsin are:
Infographic showing various Azure Data Factory job openings in Wisconsin as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,613 per year, or $58.9 per hour.
Administrator of PowerBI & Azure Infrastructure - Contract

Administrator of PowerBI & Azure Infrastructure - Contract

ManpowerGroup

Milwaukee, WI

Other

Posted 2 hours ago


Job description

We are seeking an experienced Administrator - Power BI & Azure Infrastructure for a 6-month contract opportunity. We are currently inviting applications from candidates based in the Milwaukee, WI area.

The purpose of this role is to administer a technology stack that supports the deployment of a mature business intelligence reporting suite. Ensure strong governance practices, collaborate with stakeholders, manage agile projects, analyze and visualize data, and stay updated with the latest technology from Microsoft.

Making an Impact

PowerBI Administration: Serve as the primary Power BI Admin, ensuring uptime, optimal performance, scheduling jobs, right-sizing licensing, and environments.
Azure Infrastructure Management: Incorporate Azure-based services such as Azure Data Factory, Azure Analysis Services, and Azure SQL Database to enhance the capabilities of Power BI and ensure scalability and reliability.
Deployment Strategy: Develop and implement deployment strategies, governance policies, and best practices that support agile principles within an Azure-based infrastructure.
Stakeholder Collaboration: Collaborate with internal and external stakeholders to identify business requirements and deliverables for Power BI deployment, using agile methods such as user stories and sprints.
Agile Project Management: Manage agile projects, ensuring that timelines, budgets, and deliverables are met while maintaining flexibility to changing priorities.
Data Visualization: Visualize data using Power BI to create informative and impactful reports and dashboards that are user-friendly and accessible to stakeholders.
Process Improvement: Identify and address areas for process improvement and automation in data flows.
Technology Updates: Stay updated with the latest technology from Microsoft, including new features and updates to Power BI, Azure DevOps, and other Azure-based services.
Training & Development: Conduct training sessions and workshops for internal teams on Power BI features and functionalities.
Data Governance: Ensure all data sources, reports, and dashboards comply with company data governance policies and regulatory requirements.
Performance Monitoring: Monitor the performance of Power BI reports and dashboards, ensuring quick load times and real-time data insights.
IT Collaboration: Work closely with the IT department to ensure the security, backup, and disaster recovery of all Power BI datasets.
Feedback Collection: Establish a system for collecting feedback on Power BI reports and dashboards from end-users.
Vendor Management: Liaise with software vendors and external partners to ensure optimal tool capabilities and troubleshoot technical challenges.
Budget Oversight: Manage the budget for the Power BI deployment and Azure infrastructure, ensuring cost-effective use of resources and licenses.
Team Mentorship: Guide team members, fostering a culture of continuous learning and innovation.

Your Typical Day and Other Key Details

Daily Oversight and Administration of the NA PowerBI Platform
Monitoring & Validation of Workflow activity
Troubleshooting & data pipelining issues
Working with Dashboard Developers to bring new products into the Platform
Collaboration with NAIT and GT Partners for continuous improvement of the technology capabilities


Other accountabilities as assigned.  

Required
   Bachelor's or Master's degree in computer science, Information Technology, or related field.
   Minimum of 5 years of experience in Power BI deployment, project management, data analysis, and data visualization, using agile methodologies, Azure DevOps, and Azure services.
   Strong knowledge of Power BI and its services, including data modeling, DAX formulas, and visualizations, using agile methods such as rapid prototyping and continuous integration.
   Experience with Azure DevOps and related tools such as Azure Pipelines, Azure Boards, and Azure Repos.
   Knowledge of Azure services such as Azure Data Factory, Azure Analysis Services, and Azure SQL Database, and their integration with Power BI.
   Experience with agile project management methodologies and tools, such as Scrum or Kanban, and related tools such as JIRA or DevOps.
   Excellent communication and collaboration skills, with the ability to work effectively with internal and external stakeholders at all levels using agile practices such as daily standups and retrospectives.
   Strong analytical and problem-solving skills, with the ability to analyze complex data sets and identify key insights using agile practices such as data-driven decision making.


ManpowerGroup is proud to be an equal opportunity affirmative action workplace. We celebrate diversity and are committed to providing an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, citizenship, marital status, pregnancy (including childbirth, lactation and related medical conditions), age, gender, gender identity or expression, sexual orientation, protected veteran status, political ideology, ancestry, the presence of any physical, sensory, or mental disabilities, or other legally protected status. 

A strong commitment is made by each employee and is necessary to ensure equal employment opportunity for all. ManpowerGroup is an inclusive workplace that will recruit, hire, train, and promote persons of all job titles, and ensure all other personnel actions are administered without regard to non-merit-based characteristics of individuals. 

Reasonable accommodation during the interview process can be provided.  Contact talentacquisition@manpowergroup.com for assistance.