Data Engineer Visa Sponsorship Jobs in Wisconsin
Data engineer roles in Wisconsin are concentrated in Milwaukee and Madison, with employers like Northwestern Mutual, Epic Systems, and American Family Insurance actively hiring for data infrastructure positions. The state's strong insurance, healthcare IT, and financial services sectors create steady demand for data engineers who need H-1B visa or other work visa sponsorship.
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Get Access To All JobsABOUT THE ROLE
As Senior Data Engineer, you will lead the development and ownership of domain data products, including batch, streaming and artificial intelligence/machine learning (AI/ML) feature pipelines. You will drive design decisions that improve data reliability, performance and governance maturity while standardizing patterns that scale across teams. You will partner cross-functionally to enable analytics, ML and GenAI use cases with trusted data.
WHAT YOU’LL DO
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Design, build and maintain batch, streaming and real-time Artificial Intelligence (AI) feature pipelines to extract data from diverse source systems and producers (Application Programming Interfaces (APIs), events, databases, files) ensuring efficient ingestion, transformation and publishing
-
Design, refine and implement scalable data models, semantic layers and data contracts to promote consistency, reuse and accessibility
-
Own the end-to-end data product lifecycle for the domain. Define and maintain data contracts, including service level agreements (SLAs), schema expectations, quality metrics and consumer ownership, to ensure a reliable and trustworthy experience
-
Partner with cross functional teams to co-design scalable data solutions that meet business needs and clearly define the boundaries between data pipeline responsibilities and model-building activities
-
Develop automated workflows and Continuous Integration / Continuous Deployment (CI/CD) pipelines using tools such as Airflow, Apache Spark and Python to drive reliability and faster delivery
-
Implement validation, observability and evaluation frameworks that ensure accuracy, lineage and timeliness across data pipelines and large language model (LLM) outputs
-
Apply and enforce governance, privacy and compliance standards (GDPR, PCI DSS, CCPA), ensuring data security and traceability
-
Partner with cross functional teams to translate business needs into technical data solutions that scale across domains
-
Drive performance tuning, automation and adoption of AI-powered data tools to enhance data platform efficiency
-
Mentor data engineers and champion best practices for maintainable, governed and reusable data assets
-
Own cost and performance tradeoffs for domain data products and monitor compute usage, storage growth and unit cost to implement optimizations that reduce spend while meeting SLAs
-
Additional tasks may be assigned
WHAT SKILLS YOU HAVE
Required
-
4+ years designing, building and optimizing data pipelines and models in production, ideally within large-scale cloud environments
-
Proficiency in SQL and Python (or Scala) for data development, testing and automation
Preferred
-
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering or a related field
-
Experience with Apache Spark (or equivalent) for large-scale data processing and performance optimization
-
Experience using Airflow/Cloud Composer/Dagster for orchestration, transformation and CI/CD pipelines
-
Experience with cloud warehouses/lakes (BigQuery, Redshift, Snowflake) and object storage
-
Experience designing and optimizing streaming pipelines using Kafka, Pub/Sub, spark
-
Strong understanding of dimensional modeling, normalization and schema design for analytics and GenAI integration into data products
-
Experience with data testing, lineage, monitoring and observability frameworks to ensure data integrity and reliability
ABOUT THE ROLE
As Senior Data Engineer, you will lead the development and ownership of domain data products, including batch, streaming and artificial intelligence/machine learning (AI/ML) feature pipelines. You will drive design decisions that improve data reliability, performance and governance maturity while standardizing patterns that scale across teams. You will partner cross-functionally to enable analytics, ML and GenAI use cases with trusted data.
WHAT YOU’LL DO
-
Design, build and maintain batch, streaming and real-time Artificial Intelligence (AI) feature pipelines to extract data from diverse source systems and producers (Application Programming Interfaces (APIs), events, databases, files) ensuring efficient ingestion, transformation and publishing
-
Design, refine and implement scalable data models, semantic layers and data contracts to promote consistency, reuse and accessibility
-
Own the end-to-end data product lifecycle for the domain. Define and maintain data contracts, including service level agreements (SLAs), schema expectations, quality metrics and consumer ownership, to ensure a reliable and trustworthy experience
-
Partner with cross functional teams to co-design scalable data solutions that meet business needs and clearly define the boundaries between data pipeline responsibilities and model-building activities
-
Develop automated workflows and Continuous Integration / Continuous Deployment (CI/CD) pipelines using tools such as Airflow, Apache Spark and Python to drive reliability and faster delivery
-
Implement validation, observability and evaluation frameworks that ensure accuracy, lineage and timeliness across data pipelines and large language model (LLM) outputs
-
Apply and enforce governance, privacy and compliance standards (GDPR, PCI DSS, CCPA), ensuring data security and traceability
-
Partner with cross functional teams to translate business needs into technical data solutions that scale across domains
-
Drive performance tuning, automation and adoption of AI-powered data tools to enhance data platform efficiency
-
Mentor data engineers and champion best practices for maintainable, governed and reusable data assets
-
Own cost and performance tradeoffs for domain data products and monitor compute usage, storage growth and unit cost to implement optimizations that reduce spend while meeting SLAs
-
Additional tasks may be assigned
WHAT SKILLS YOU HAVE
Required
-
4+ years designing, building and optimizing data pipelines and models in production, ideally within large-scale cloud environments
-
Proficiency in SQL and Python (or Scala) for data development, testing and automation
Preferred
-
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering or a related field
-
Experience with Apache Spark (or equivalent) for large-scale data processing and performance optimization
-
Experience using Airflow/Cloud Composer/Dagster for orchestration, transformation and CI/CD pipelines
-
Experience with cloud warehouses/lakes (BigQuery, Redshift, Snowflake) and object storage
-
Experience designing and optimizing streaming pipelines using Kafka, Pub/Sub, spark
-
Strong understanding of dimensional modeling, normalization and schema design for analytics and GenAI integration into data products
-
Experience with data testing, lineage, monitoring and observability frameworks to ensure data integrity and reliability
Data Engineer Job Roles in Wisconsin
See all 79+ Data Engineer Jobs in Wisconsin
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Search Data Engineer Jobs in WisconsinData Engineer Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for data engineers?
Northwestern Mutual, Epic Systems, American Family Insurance, and Exact Sciences are among the Wisconsin employers that have filed H-1B Labor Condition Applications for data engineering roles. Large healthcare IT firms and insurance carriers in Milwaukee and Madison tend to have established immigration programs, while smaller startups may sponsor on a case-by-case basis. Checking historical LCA disclosure data on the Department of Labor's OFLC portal gives a reliable picture of which employers have sponsored similar roles.
Which visa types are most common for data engineer roles in Wisconsin?
The H-1B is the most common work visa for data engineers in Wisconsin, as the role consistently meets the specialty occupation standard given its requirement for a bachelor's degree or higher in computer science, information systems, or a related technical field. Candidates already holding F-1 OPT or STEM OPT authorization can work while their employer files an H-1B petition. L-1B visas apply in cases where a data engineer transfers from a foreign affiliate of a Wisconsin-based company.
Which cities in Wisconsin have the most data engineer visa sponsorship jobs?
Milwaukee and Madison account for the majority of data engineer sponsorship activity in Wisconsin. Milwaukee's concentration of financial services and insurance firms drives consistent hiring, while Madison benefits from the University of Wisconsin research ecosystem and a growing technology sector. Green Bay and Appleton have smaller but active hiring markets tied to manufacturing analytics and regional healthcare systems, though sponsoring employers in those areas are less common.
How to find data engineer visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse data engineer openings in Wisconsin without sorting through roles that won't support work authorization. The platform covers employers in Milwaukee, Madison, and beyond, focusing on positions where sponsorship is part of the offer. Searching by role and state on Migrate Mate saves significant time compared to manually researching each company's immigration history.
Are there any Wisconsin-specific considerations for data engineers seeking visa sponsorship?
Wisconsin's prevailing wage requirements under the H-1B program are set based on the Milwaukee or Madison metropolitan statistical areas, depending on the work location, and employers must certify they will pay at least the applicable wage level for the role. Epic Systems in Verona draws a significant pipeline of international candidates through the University of Wisconsin-Madison's computer science and data science programs, making campus recruiting a relevant pathway for F-1 students already in-state seeking sponsorship.
What is the prevailing wage for sponsored 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.