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Microsoft Data Engineer Jobs in Wisconsin (NOW HIRING)

Vultus Inc

Data Engineer

Seymour, WI

$116K - $140K/yr

Data Engineer Experience 2-5 years Job Type Full-time Job Summary We are looking for a skilled Data ... Preferred Skills * Experience with Microsoft Fabric , Azure Data Factory, Azure Synapse, or ...

MLG Capital

Analytics Engineer

Brookfield, WI

Support data pipelines, ETL/ELT workflows, and automation processes across the Microsoft ecosystem ... Partner with the BI Developer to develop, enhance, and maintain Power BI dashboards, semantic ...

SysLogic, Inc.

Data Analytics Architect

Brookfield, WI · On-site +1

Eight or more years of professional experience working as a Data Analytics Architect or a Senior Data Integration Developer (Data Engineer) with a primary focus on architecting Microsoft technologies.

New

SysLogic, Inc.

Data Analytics Architect

Brookfield, WI · On-site

Eight or more years of professional experience working as a Data Analytics Architect or a Senior Data Integration Developer (Data Engineer) with a primary focus on architecting Microsoft technologies.

New

AgSource

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

New

AgSource

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

New

Urus

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

New

Urus Group LP

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

New

Farm Systems

Data Engineer

Watertown, WI

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

New

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

Support data pipelines, ETL/ELT workflows, and automation processes across the Microsoft ecosystem ... Partner with the BI Developer to develop, enhance, and maintain Power BI dashboards, semantic ...

1000 Kyndryl, Inc.

Data Engineer

Wausau, WI

$122K - $147K/yr

AWS Certified Data Analytics - Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate Understanding of social coding and ...

New

1000 Kyndryl, Inc.

Data Engineer

Wausau, WI

$122K - $147K/yr

AWS Certified Data Analytics - Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate Understanding of social coding and ...

New

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... Advanced SQL skills with experience working with Microsoft Fabric Lakehouse, Fabric Warehouse ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... Advanced SQL skills with experience working with Microsoft Fabric Lakehouse, Fabric Warehouse ...

Core BTS

GCP Data Engineer

Appleton, WI

$75 - $80/hr

... Microsoft Azure to Google Cloud Platform (GCP). · Google Cloud Professional Data Engineer certification (or equivalent GCP certification). Competency Requirements · Builds strong client ...

Ontech Talent

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

TOGAF, ITIL, CBIP, PMP, and/or Microsoft Data Engineering / Development / Architecture certifications. * Familiarity with Azure API Management, Infor ION API Gateway, MuleSoft, Boomi, Apigee, Kong ...

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Microsoft Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do microsoft data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for microsoft data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What is a Microsoft data engineer?

A Microsoft Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, and Power BI. They work with large datasets, implement data pipelines, and optimize database performance to support business intelligence and analytics. Their role often involves ensuring data quality, security, and scalability while collaborating with data analysts and developers.

What are the typical day-to-day responsibilities of a Microsoft data engineer?

As a Microsoft Data Engineer, your daily tasks usually involve designing, building, and managing data pipelines using Microsoft Azure and SQL Server technologies. You'll collaborate closely with data analysts, business stakeholders, and software engineers to ensure data is accessible, accurate, and optimized for reporting and analytics needs. Regular activities may include developing ETL processes, troubleshooting data issues, maintaining data security, and optimizing performance. This role often provides a dynamic work environment with opportunities to work on cross-functional projects and continually adopt new Microsoft data tools as they evolve.

What are the key skills and qualifications needed to thrive in the Microsoft data engineer position, and why are they important?

Microsoft Data Engineers require a solid understanding of data modeling, ETL processes, and database management, often backed by a degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and certifications like Microsoft Certified: Azure Data Engineer Associate is highly valued. Strong problem-solving abilities, communication skills, and attention to detail set top candidates apart. Mastery of these skills ensures the efficient design, development, and maintenance of scalable data solutions within complex business environments.

What are the most commonly searched types of Microsoft Data Engineer jobs in Wisconsin?

The most popular types of Microsoft Data Engineer jobs in Wisconsin are:

What are popular job titles related to Microsoft Data Engineer jobs in Wisconsin?

For Microsoft Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Microsoft Data Engineer jobs in Wisconsin look for?

The top searched job categories for Microsoft Data Engineer jobs in Wisconsin are:

Microsoft Data Engineer jobs near you
Infographic showing various Microsoft Data Engineer 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 $130,930 per year, or $62.9 per hour.

Data Engineer

Vultus Inc

Seymour, WI

$116K - $140K/yr

Full-time

Posted 4 days ago

Job description

Data Engineer

Experience

2–5 years

Job Type

Full-time

Job Summary

We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate should have strong experience in SQL, Python, ETL/ELT processes, cloud data platforms, and data warehousing.

Key Responsibilities
  • Design, develop, and maintain reliable data pipelines for batch and real-time data processing.
  • Build and optimize ETL/ELT workflows from multiple data sources.
  • Develop complex SQL queries, stored procedures, and data transformations.
  • Work with data warehouses, data lakes, and cloud-based data platforms.
  • Perform data cleansing, transformation, validation, and integration.
  • Monitor data pipelines and troubleshoot failures, performance issues, and data-quality problems.
  • Optimize data processing jobs and database queries for performance and scalability.
  • Implement data-quality checks and ensure data accuracy and consistency.
  • Collaborate with Data Scientists, BI Developers, Analysts, and Software Engineers.
  • Participate in data architecture and pipeline design discussions.
  • Maintain technical documentation for data pipelines, workflows, and data models.
  • Follow security, governance, and best practices for handling enterprise data.
Required Skills
  • Strong proficiency in SQL.
  • Strong programming experience in Python.
  • Hands-on experience with ETL/ELT pipelines.
  • Experience with data warehousing concepts and dimensional data modeling.
  • Experience with databases such as SQL Server, PostgreSQL, MySQL, or similar.
  • Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP.
  • Understanding of data lakes and distributed data processing.
  • Experience with version control systems such as Git.
  • Strong understanding of data quality, data validation, and error handling.
Preferred Skills
  • Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, or Databricks.
  • Experience with Apache Spark/PySpark.
  • Knowledge of Power BI and BI data models.
  • Experience with streaming technologies such as Kafka.
  • Knowledge of CI/CD and DevOps practices.
  • Experience working with REST APIs and integrating data from external systems.
  • Familiarity with data governance, security, and compliance.
Education
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Soft Skills
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Strong attention to detail.
  • Ability to troubleshoot complex data issues.
Key Qualifications
  • 2–5 years of hands-on experience in Data Engineering.
  • Strong SQL and Python expertise.
  • Practical experience developing and supporting production data pipelines.
  • Good understanding of cloud data engineering and modern data architecture.