Data Manager Visa Sponsorship Jobs in Wisconsin
Wisconsin's data manager market spans healthcare systems like Froedtert Health and UW Health, insurance and financial firms in Milwaukee, and research-driven institutions across Madison. Employers in these sectors regularly sponsor skilled data professionals. Madison and Milwaukee lead for sponsorship activity, with growing demand across Green Bay and the Fox Valley corridor.
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Get Access To All JobsINTRODUCTION
You’ve discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And ─ as “one of the Healthiest 100 Workplaces in America” ─ is focused on the mind/body/soul of team members through our Culture of Care.
ABOUT THE ROLE
The Data Engineering Manager delivers a range of modern technology solutions while implementing best practices for key stakeholders across Faith Technologies Incorporated (FTI). This role is instrumental in shaping our data strategy, driving impactful data-driven decisions, and ensuring the successful execution of complex infrastructure and pipeline projects. You will lead and mentor a talented team of engineers while remaining a hands-on contributor, diving into data pipelines to provide technical guidance and insights as needed. Additionally, the Data Engineering Manager collaborates with cross-functional teams to ensure data availability, reliability, and performance for analytics, reporting, and data science purposes. This role leads and contributes to large-scale project data efforts, providing critical support to business partners, project managers, and vendor resources involved in project execution.
The ideal candidate would have proficiency in programming languages such as Python, PowerShell, R, or Scala, along with strong experience in SQL and relational databases like MS-SQL. It also involves proficiency in data visualization tools such as Power BI or Tableau, as well as experience working with cloud-based platforms like Azure, GCP, or Databricks and big data technologies including Hadoop, Spark, and Kafka. Additionally, familiarity with NoSQL databases such as MongoDB or CosmosDB is expected.
MINIMUM REQUIREMENTS
Education: Bachelor’s Degree in Computer Science, Data Engineering, Statistics, or a related quantitative field. Master's degree is a plus.
Experience: 5+ years of direct work experience in data engineering, software development, or a related role. Minimum of 2+ years of experience leading and managing a team of technology professionals.
Travel: 0-10%.
Work Schedule: Typical work hours are between 7:00 a.m. and 5:00 p.m. Monday – Friday. Ability to work a flexible schedule is necessary.
KEY RESPONSIBILITIES
- Management: Lead, mentor, and develop a high-performing team of Data Engineers.
- Technical Guidance: Provide expert guidance on analytical techniques, ETL/ELT patterns, project planning, and complex problem-solving.
- Performance Management: Conduct regular one-on-one meetings and performance reviews to ensure team alignment and growth.
- Development: Identify and recommend professional development opportunities to keep the team current with cutting-edge technologies.
- Strategic Delivery: Lead the planning, execution, and delivery of data infrastructure projects that align with FTI’s business objectives.
- Stakeholder Partnership: Partner with leadership across departments (e.g., Engineering, Manufacturing, Operations) to translate their needs into technical roadmaps.
- Project Oversight: Define project scope, timelines, and key performance indicators (KPIs) while leading development efforts on medium to large projects.
- Communication: Present data insights, architectural recommendations, and project status to leadership in a clear and compelling manner.
- Pipeline Development: Design, develop, and maintain secure data pipelines to transfer data from various sources to a data mart or lakehouse.
- Integration: Develop integrations with specific SaaS applications such as Acumatica, Workday, Salesforce, and ServiceNow.
- Data Quality: Implement and monitor data quality checks to identify and rectify inconsistencies, ensuring accuracy and validity.
- Database Administration: Administer and optimize databases to ensure maximum availability, performance, and security.
- Troubleshooting: Diagnose and resolve data-related issues promptly to minimize system downtime.
- Performs other related duties as required and assigned.
Work Location:
This role follows a hybrid work model, offering a blend of onsite and remote flexibility. Team members are required to spend part of their week onsite at our Menasha, WI office to support teamwork, learning, and in-person connection, while enjoying the autonomy and focus that remote work provides. Specific onsite expectations may vary based on team needs, project priorities, and individual development.
We strive to provide a balanced, flexible environment that supports both productivity and engagement.
The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities
INTRODUCTION
You’ve discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And ─ as “one of the Healthiest 100 Workplaces in America” ─ is focused on the mind/body/soul of team members through our Culture of Care.
ABOUT THE ROLE
The Data Engineering Manager delivers a range of modern technology solutions while implementing best practices for key stakeholders across Faith Technologies Incorporated (FTI). This role is instrumental in shaping our data strategy, driving impactful data-driven decisions, and ensuring the successful execution of complex infrastructure and pipeline projects. You will lead and mentor a talented team of engineers while remaining a hands-on contributor, diving into data pipelines to provide technical guidance and insights as needed. Additionally, the Data Engineering Manager collaborates with cross-functional teams to ensure data availability, reliability, and performance for analytics, reporting, and data science purposes. This role leads and contributes to large-scale project data efforts, providing critical support to business partners, project managers, and vendor resources involved in project execution.
The ideal candidate would have proficiency in programming languages such as Python, PowerShell, R, or Scala, along with strong experience in SQL and relational databases like MS-SQL. It also involves proficiency in data visualization tools such as Power BI or Tableau, as well as experience working with cloud-based platforms like Azure, GCP, or Databricks and big data technologies including Hadoop, Spark, and Kafka. Additionally, familiarity with NoSQL databases such as MongoDB or CosmosDB is expected.
MINIMUM REQUIREMENTS
Education: Bachelor’s Degree in Computer Science, Data Engineering, Statistics, or a related quantitative field. Master's degree is a plus.
Experience: 5+ years of direct work experience in data engineering, software development, or a related role. Minimum of 2+ years of experience leading and managing a team of technology professionals.
Travel: 0-10%.
Work Schedule: Typical work hours are between 7:00 a.m. and 5:00 p.m. Monday – Friday. Ability to work a flexible schedule is necessary.
KEY RESPONSIBILITIES
- Management: Lead, mentor, and develop a high-performing team of Data Engineers.
- Technical Guidance: Provide expert guidance on analytical techniques, ETL/ELT patterns, project planning, and complex problem-solving.
- Performance Management: Conduct regular one-on-one meetings and performance reviews to ensure team alignment and growth.
- Development: Identify and recommend professional development opportunities to keep the team current with cutting-edge technologies.
- Strategic Delivery: Lead the planning, execution, and delivery of data infrastructure projects that align with FTI’s business objectives.
- Stakeholder Partnership: Partner with leadership across departments (e.g., Engineering, Manufacturing, Operations) to translate their needs into technical roadmaps.
- Project Oversight: Define project scope, timelines, and key performance indicators (KPIs) while leading development efforts on medium to large projects.
- Communication: Present data insights, architectural recommendations, and project status to leadership in a clear and compelling manner.
- Pipeline Development: Design, develop, and maintain secure data pipelines to transfer data from various sources to a data mart or lakehouse.
- Integration: Develop integrations with specific SaaS applications such as Acumatica, Workday, Salesforce, and ServiceNow.
- Data Quality: Implement and monitor data quality checks to identify and rectify inconsistencies, ensuring accuracy and validity.
- Database Administration: Administer and optimize databases to ensure maximum availability, performance, and security.
- Troubleshooting: Diagnose and resolve data-related issues promptly to minimize system downtime.
- Performs other related duties as required and assigned.
Work Location:
This role follows a hybrid work model, offering a blend of onsite and remote flexibility. Team members are required to spend part of their week onsite at our Menasha, WI office to support teamwork, learning, and in-person connection, while enjoying the autonomy and focus that remote work provides. Specific onsite expectations may vary based on team needs, project priorities, and individual development.
We strive to provide a balanced, flexible environment that supports both productivity and engagement.
The job description and responsibilities described are intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities
Data Manager Job Roles in Wisconsin
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Search Data Manager Jobs in WisconsinData Manager Jobs in Wisconsin: Frequently Asked Questions
Which companies sponsor visas for data managers in Wisconsin?
Healthcare and insurance organizations are among the most active sponsors for data manager roles in Wisconsin. Employers such as Epic Systems, UW Health, Froedtert Health, Northwestern Mutual, and Fiserv have histories of sponsoring H-1B workers in data and information management functions. Large research universities, including the University of Wisconsin-Madison, also sponsor data professionals through academic and administrative roles.
Which visa types are most common for data manager roles in Wisconsin?
The H-1B is the most common visa category for data manager positions in Wisconsin, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a related field such as information systems, computer science, or data science. Candidates already holding an F-1 with OPT or STEM OPT authorization can work while a sponsor files an H-1B petition on their behalf.
Which cities in Wisconsin have the most data manager sponsorship jobs?
Madison and Milwaukee account for the largest share of data manager sponsorship activity in Wisconsin. Madison benefits from Epic Systems' headquarters and the University of Wisconsin research ecosystem. Milwaukee draws demand from financial services and healthcare employers. Green Bay and Appleton have a smaller but growing presence, particularly through regional healthcare networks and manufacturing firms with data infrastructure needs.
How to find data manager visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify data manager roles in Wisconsin where employers are willing to sponsor. Rather than sorting through thousands of unfiltered postings, you can focus on positions at organizations like Epic Systems, UW Health, or Fiserv that have demonstrated sponsorship histories. Setting up role and location filters on Migrate Mate helps track new openings as they appear.
Are there any Wisconsin-specific considerations for data managers seeking visa sponsorship?
Wisconsin's prevailing wage requirements under the H-1B program are benchmarked to the Madison and Milwaukee metropolitan areas, which typically reflect different wage levels than national figures. The University of Wisconsin system creates a notable pipeline of international graduates in data-related fields who transition into sponsored roles locally. Healthcare data governance roles have grown significantly following Epic Systems' influence on regional health IT infrastructure, creating consistent demand for experienced data managers.
What is the prevailing wage for sponsored data manager 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.
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