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Microsoft Data Engineer Jobs in Wisconsin (NOW HIRING)

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 ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

The Data Engineer is responsible for the comprehensive data and reporting infrastructure at ... with Microsoft BI tools. Experience with an ETL tool like SSIS, Informatica, Talend, etc.

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 ...

Pwc

Data Engineer - Manager

Milwaukee, WI · On-site

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Ontech Talent

Be Seen First

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 ...

Roehl Transport

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

Support Roehl's Microsoft Fabric strategy and develop data assets that power Power BI, enterprise ... engineering productivity. * Apply secure data handling, governance, metadata, and development best ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Bakertilly

Associate Data Engineer

Milwaukee, WI

$85K - $162K/yr

Working primarily inside the Microsoft stack (Azure, Synapse, and Microsoft Fabric), you will ... Data Engineering: Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data ...

Bakertilly

Associate Data Engineer

Madison, WI

$85K - $162K/yr

Working primarily inside the Microsoft stack (Azure, Synapse, and Microsoft Fabric), you will ... Data Engineering: Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... AWS and Microsoft Azure - Excelling in data architecture development and data modeling ...

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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 8, 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 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 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 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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Senior Data Engineer

SysLogic, Inc.

Brookfield, WI • Remote

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data to reach business goals. They will also provide mentoring to data engineers. They will work closely and collaboratively with our Data Architect and Business Solution Advisor, to develop solutions being increase value and confidence in our clients\' data environments.

Responsibilities:

  • Designs and implements secure data integration solutions for operations and analytics, leveraging best practices to design and implement high-performing ETL/ELT solutions
  • Performs root cause analysis on data sets and processes to answer specific business questions and identify opportunities for improvement
  • Builds and maintains KPI dashboards to disseminate information to measure/track results and drive business decisions
  • Integrate reports, audits, and processes from various business systems
  • Advocates for data quality and increases awareness of data stewardship and data governance concepts among data producers and consumers
  • Assist with defining and maintaining business rules, policies, and governance for data
  • Collaborates with Data Architect on project goals and approach
  • Assist peers and data engineers as needed, to keep the team as productive and efficient as possible
  • Work with QA and development peers to review and test code changes
  • A minimum of eight years of progressive responsibility working as a Data Engineer or Data Integration Developer.
  • Advanced SQL skills with experience working with Microsoft Fabric Lakehouse, Fabric Warehouse, Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured datasets
  • Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft Fabric, Azure Machine Learning, Azure AI Services, and Python-based data science solutions
  • Referenceable work history developing interactive dashboards and data visualizations using Power BI, Fabric Real-Time Intelligence, and Power BI Service
  • Demonstrated capabilities designing, implementing, and supporting cloud-native data platforms utilizing Microsoft Fabric, Microsoft Azure, OneLake, Azure Data Lake Storage Gen2, and Azure data services
  • Strong background working with data integration and orchestration tools including Microsoft Fabric Data Factory, Azure Data Factory, Fabric Pipelines, and related ETL/ELT technologies
  • Experience designing and implementing enterprise data models, dimensional models, data warehouses, Lakehouse architecture, and semantic models within Microsoft Fabric
  • Direct work history working within Agile, Scrum, DevOps, or DataOps development methodologies, including Azure DevOps for project management, CI/CD, and deployment automation
  • Experience with data governance, security, and compliance solutions including Microsoft Purview, Azure role-based access control (RBAC), and Fabric security models
  • Ability to collaborate with business stakeholders, data engineers, analysts, and solution architects to define data requirements and deliver scalable analytics solutions
  • Willingness to travel four to six times per year with no more than 24 days away from home in a calendar year.

This remote role is only open to individuals that reside in one of the following states at the time of application: Wisconsin, Illinois, Iowa, Michigan, Ohio, Indiana, North Carolina, Arkansas, Arizona, Florida or South Dakota.

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Long Term Disability
  • Training & Development
  • Work Life Balance
  • No company politics.
  • Strong employee focused culture.

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