Cloud Data Engineer Visa Sponsorship Jobs in Wisconsin
Wisconsin's cloud data engineering jobs are concentrated in Milwaukee and Madison, with employers like Fiserv, Epic Systems, and American Family Insurance driving demand. Healthcare IT, financial services, and insurance tech firms regularly seek cloud data engineers with pipeline and architecture skills, making Wisconsin a steady market for international candidates pursuing visa sponsorship.
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Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world’s leading financial centers – New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.
Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram.
Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring.
Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.
Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system.
Job Description
Key Responsibilities:
- Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions using the Microsoft Analytics ecosystem.
- Develop and maintain data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes for structured and unstructured data.
- Apply best practices in dimensional modeling to create robust and scalable data models for analytics and reporting.
- Leverage tools such as Python, dbt, and SQL to develop advanced data transformation and integration processes.
- Optimize data storage and retrieval mechanisms to support high-performance analytics workloads.
- Implement and manage hybrid analytics workloads using Azure Cloud infrastructure, including networking and security configurations.
- Monitor and troubleshoot data pipelines and workflows to ensure accuracy, reliability, and performance.
- Collaborate with analytics and BI teams to ensure seamless integration of data assets into Power BI and other reporting platforms.
- Stay informed about emerging trends and technologies in data engineering and cloud analytics to enhance solution delivery.
Required Qualifications:
- Ten (10) plus years experience in data engineering with expertise in the Microsoft Analytics stack (Fabric, Synapse, SQL, SSAS, SSRS).
- Strong proficiency in SQL, Python, and data modeling techniques.
- Working knowledge of data extraction patterns and best practices.
- Experience with ETL tools and frameworks, such as dbt.
- Solid understanding of dimensional modeling and its application in analytics.
- Strong problem-solving skills with a focus on delivering scalable and efficient solutions.
- Excellent communication and collaboration skills, with experience in client-facing roles.
Preferred Qualifications:
- Experience with Azure Cloud infrastructure, including hybrid analytics workload configurations and networking.
- Certifications in Azure Engineering (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert).
- Experience with Azure DevOps or GitHub for code repositories and deployment.
- Familiarity with advanced analytics tools and concepts, including machine learning workflows.
- Knowledge of additional data visualization tools such as Tableau or Qlik.
- Experience with Agile methodologies for project management.
The pay rate range for this job position is $123,840 to $234,770. Actual compensation is influenced by a variety of relevant factors including but not limited to applicant’s skills, prior experience, qualifications, degrees, professional certifications, work arrangements and geographic location. Baker Tilly offers a comprehensive compensation and benefits package to eligible employees.
Overview
Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world’s leading financial centers – New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.
Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram.
Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring.
Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.
Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system.
Job Description
Key Responsibilities:
- Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions using the Microsoft Analytics ecosystem.
- Develop and maintain data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes for structured and unstructured data.
- Apply best practices in dimensional modeling to create robust and scalable data models for analytics and reporting.
- Leverage tools such as Python, dbt, and SQL to develop advanced data transformation and integration processes.
- Optimize data storage and retrieval mechanisms to support high-performance analytics workloads.
- Implement and manage hybrid analytics workloads using Azure Cloud infrastructure, including networking and security configurations.
- Monitor and troubleshoot data pipelines and workflows to ensure accuracy, reliability, and performance.
- Collaborate with analytics and BI teams to ensure seamless integration of data assets into Power BI and other reporting platforms.
- Stay informed about emerging trends and technologies in data engineering and cloud analytics to enhance solution delivery.
Required Qualifications:
- Ten (10) plus years experience in data engineering with expertise in the Microsoft Analytics stack (Fabric, Synapse, SQL, SSAS, SSRS).
- Strong proficiency in SQL, Python, and data modeling techniques.
- Working knowledge of data extraction patterns and best practices.
- Experience with ETL tools and frameworks, such as dbt.
- Solid understanding of dimensional modeling and its application in analytics.
- Strong problem-solving skills with a focus on delivering scalable and efficient solutions.
- Excellent communication and collaboration skills, with experience in client-facing roles.
Preferred Qualifications:
- Experience with Azure Cloud infrastructure, including hybrid analytics workload configurations and networking.
- Certifications in Azure Engineering (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert).
- Experience with Azure DevOps or GitHub for code repositories and deployment.
- Familiarity with advanced analytics tools and concepts, including machine learning workflows.
- Knowledge of additional data visualization tools such as Tableau or Qlik.
- Experience with Agile methodologies for project management.
The pay rate range for this job position is $123,840 to $234,770. Actual compensation is influenced by a variety of relevant factors including but not limited to applicant’s skills, prior experience, qualifications, degrees, professional certifications, work arrangements and geographic location. Baker Tilly offers a comprehensive compensation and benefits package to eligible employees.
Cloud Data Engineer Job Roles in Wisconsin
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Search Cloud Data Engineer Jobs in WisconsinCloud Data Engineer Jobs in Wisconsin: Frequently Asked Questions
Which companies sponsor visas for cloud data engineers in Wisconsin?
Fiserv in Milwaukee, Epic Systems in Verona, and American Family Insurance in Madison are among the most active Wisconsin employers filing H-1B visa petitions for technology roles. Healthcare IT firms, financial technology companies, and large insurers generally have established immigration programs and legal teams equipped to handle sponsorship for cloud data engineers requiring specialized skills in platforms like AWS, Azure, or Google Cloud.
Which visa types are most common for cloud data engineers in Wisconsin?
The H-1B is the most common visa for cloud data engineer roles in Wisconsin, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT can work before an H-1B is filed. L-1B visas apply for intracompany transfers with specialized knowledge in cloud infrastructure or data engineering.
Which cities in Wisconsin have the most cloud data engineer sponsorship jobs?
Milwaukee and Madison account for the majority of cloud data engineering opportunities in Wisconsin. Milwaukee's financial technology and insurance sectors, anchored by employers like Fiserv and Northwestern Mutual, generate consistent demand. Madison's concentration of healthcare technology firms, including Epic Systems, and the presence of the University of Wisconsin creates a second strong cluster. Smaller pockets of activity exist in Green Bay and Racine.
How to find cloud data engineer visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically by visa sponsorship availability, letting you search for cloud data engineer roles in Wisconsin without manually screening each employer. Because Wisconsin's sponsoring employers are concentrated in healthcare IT, fintech, and insurance, filtering by those industries on Migrate Mate helps narrow results to companies with active immigration programs rather than those that have never sponsored before.
Are there any Wisconsin-specific considerations for cloud data engineers seeking visa sponsorship?
Wisconsin's prevailing wage requirements under the H-1B Labor Condition Application are set by Department of Labor data for the Milwaukee and Madison metropolitan areas, which tend to reflect Midwest market rates rather than coastal figures. Candidates graduating from University of Wisconsin-Madison's computer science or data engineering programs are already embedded in a region where major local employers actively recruit, which can create a shorter path from academic networks to sponsored employment.
What is the prevailing wage for sponsored cloud data engineer jobs in Wisconsin?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.