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Azure Data Factory Jobs in Wisconsin (NOW HIRING)

WI · On-site

$103 - $129/hr

Strong knowledge of ETL tools (Azure Data Factory, Informatica, etc.)* Deep understanding of data quality, governance, and compliance* Strong leadership and stakeholder management skills* Experience ...

New

WI · On-site

$90 - $120/hr

Azure Data Factory, Data Lake Storage Gen2, Fabric,... * You have experience with data processing frameworks (e.g. Airflow), version control systems (e.g. GIT), big data tools and cloud technologies ...

Product Project Management

Milwaukee, WI · On-site

$85K - $100K/yr

Familiar with ETL/ELT Tools such as Azure Data Factory, Azure Data Bricks. * Familiar with Cloud based DW solutions such as Snowflake. * Familiar with ETL/ELT Framework design and implementation.

Experience with Azure Data Factory, Azure Functions, Microsoft Fabric, Microsoft Purview, or similar cloud data technologies. * Exposure to data governance, metadata management, lineage, and data ...

Analytics Engineer

Brookfield, WI · On-site

$100K - $120K/yr

Experience with Azure Data Factory, Azure Functions, Microsoft Fabric, Microsoft Purview, or similar cloud data technologies. * Exposure to data governance, metadata management, lineage, and data ...

WI · On-site

$70.64 - $94.18/hr

Azure Data Factory, Data Lake Storage Gen2, Fabric... * You have experience with data processing frameworks (e.g. Airflow), version control systems (e.g. Git), big data tools and cloud technologies ...

$126K/yr

Experience with Azure Data Factory to orchestrate and validate ETL workflows. * Proficiency in Azure Databricks for data processing and distributed testing of data pipelines. * Ability to create ...

WI · On-site

$140 - $190/hr

Hands‑on experience with Microsoft Fabric, OneLake, Data Factory, notebooks, lakehouse and ... Experience with Azure DevOps/Git, CI/CD practices, and modern development and deployment processes.

New

Product Project Management

Milwaukee, WI · On-site

$85K - $100K/yr

Familiar withETL/ELT Toolssuch asAzure Data Factory, Azure Data Bricks. * Familiar withCloud based DWsolutionssuch asSnowflake. * Familiar withETL/ELT Framework design and implementation. * Familiar ...

RPA Jr. Developer

Pleasant Prairie, WI · On-site

$63K - $82K/yr

Experience with Azure Data Factory and Azure Logic Apps * Experience in any of the programming languages like C/C++, Python, BPMN, VB Script, Ruby, Java, JS, .Net. * Microsoft PowerAutomate and ...

RPA Jr. Developer

Pleasant Prairie, WI · On-site

$63K - $82K/yr

Experience with Azure Data Factory and Azure Logic Apps * Experience in any of the programming languages like C/C++, Python, BPMN, VB Script, Ruby, Java, JS, .Net. * Microsoft PowerAutomate and ...

Data Architect

Fond Du Lac, WI · On-site

$100 - $130/hr

Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) * Deep understanding of data modeling, ETL/ELT patterns, and data integration. * Experience implementing ...

... Azure Data Factory, or Databricks * Experience with SQL or JavaScript * 3+ years of experience leading or coaching integration consultants The wage range for this role takes into account the wide ...

WI · On-site

$120 - $150/hr

Position Summary The Azure Architect is responsible for designing, leading, and delivering secure ... Lead cloud migration and modernization initiatives, including application refactoring and data ...

New

Showing results 41-60

Azure Data Factory information

See Wisconsin salary details

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How much do azure data factory jobs pay per hour?

As of Sep 3, 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?

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.

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 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 Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

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:

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

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

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

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

Infographic showing various Azure Data Factory job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,613 per year, or $58.9 per hour.

Lead Data Migration Engineer

Capgemini

WI • On-site

$103 - $129/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

99th of 226 rated it services


Job description

# Lead Data Migration EngineerIrvingApply for this job* Permanent* Experienced Professionals* Data & AI* ID 533265-en\_US## Job Location - Westlake TX (Day One Onsite - Hybrid)## About The Role* Stock Plan Services, an equity compensation services division of client, is seeking an experienced Lead Data Migration Engineer who can lead enterprise-wide data migration strategy, architecture, and execution.* Drives large-scale migrations across complex systems while influencing organizational direction, standards, and best practices## Key Responsibilities* Define and own the data migration strategy and roadmap across programs* Lead architecture decisions for data extraction, transformation, and loading (ETL/ELT)* Drive cross-functional alignment (Product, Engineering, Data, Business stakeholders)* Establish data standards, governance, and best practices* Oversee end-to-end migration lifecycle (planning → execution → validation → cutover)* Mitigate risks related to data integrity, quality, and performance* Design scalable solutions for high-volume, complex data ecosystems* Mentor senior engineers and build organizational capability## Required Skills* 10+ years in data engineering / migration roles* Expertise in data architecture, distributed systems, and database design* Experience with large-scale migrations (cloud, platform modernization)* Strong knowledge of ETL tools (Azure Data Factory, Informatica, etc.)* Deep understanding of data quality, governance, and compliance* Strong leadership and stakeholder management skills* Experience with resiliency and stability design principals, including SRE## Impact* Enterprise-level influence* Sets technical direction and migration standards* Critical to delivery success across multiple programs## Life At CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: * Flexible work* Healthcare including dental, vision, mental health, and well-being programs* Financial well-being programs such as 401(k) and Employee Share Ownership Plan* Paid time off and paid holidays* Paid parental leave* Family building benefits like adoption assistance, surrogacy, and cryopreservation* Social well-being benefits like subsidized back-up child/elder care and tutoring* Mentoring, coaching and learning programs* Employee Resource Groups* Disaster Relief## DisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law## Salary TransparencyThe primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effeCapgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 to $128656 /yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.ctively to drive business outcomes.For this role, the gross annual base salary range is $103330 to $128656 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors – like your experience, skills, and qualifications – in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process. #J-18808-Ljbffr

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