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Evening Microsoft Azure Data Engineer Jobs in Wisconsin

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 ... Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP . * Understanding of ...

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 ... Microsoft Fabric, Azure Machine Learning, Azure AI Services, and Python-based data science ...

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 ... Microsoft Fabric, Azure Machine Learning, Azure AI Services, and Python-based data science ...

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 ...

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 ...

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

This is MLG's first-ever Analytics Engineer hire, supporting the modernization of reporting ... Experience with Azure Data Factory, Azure Functions, Microsoft Fabric, Microsoft Purview, or ...

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 ...

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

This is MLG's first-ever Analytics Engineer hire, supporting the modernization of reporting ... Experience with Azure Data Factory, Azure Functions, Microsoft Fabric, Microsoft Purview, or ...

Roehl Transport

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

Experience with Microsoft Fabric, Azure SQL, OneLake, Lakehouse concepts, or similar cloud data ... such as Azure DevOps or GitHub. * Strong communication skills and the ability to partner ...

Tech Mirrors

WI · On-site

$150 - $230/hr

Define end-to-end architecture leveraging Microsoft Fabric, Azure Data Platform and Azure AI Services. * Lead solution design across Data Engineering, Data Science, BI and AI workloads. * Architect ...

Urus

Senior Data Engineer

Watertown, WI

$101K - $137K/yr

Keep abreast of the latest advancements in data integration, reporting, data engineering ... Experience with Microsoft Azure cloud platform and Microsoft Fabric desirable. * Strong analytical ...

New

US Venture, Inc.

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

Operates with AI-assisted development capabilities as a standard part of the discipline, builds within the broader Microsoft and Azure ecosystem, and mentors Data Engineers as the function scales.

Maxonic

Be Seen First

Pyspark data engineer/Databricks & Power BI Consultant

Franksville, WI · On-site

$60/hr

Strong knowledge of DAX, Power Query, Azure Data Factory, and ADLS. * Experience with data warehousing, Git, and Azure DevOps. * Excellent analytical and communication skills. About Maxonic: Since ...

LHH US

Analytics Engineer

Brookfield, WI

$100K - $120K/yr

Analytics Engineer Hybrid Overview Seeking a versatile Analytics Engineer to bridge the gap between ... Experience with Azure Data Factory, Azure Functions, Microsoft Fabric, Microsoft Purview, or ...

LHH US

Analytics Engineer

Brookfield, WI

$100K - $120K/yr

Analytics Engineer Hybrid Overview Seeking a versatile Analytics Engineer to bridge the gap between ... Experience with Azure Data Factory, Azure Functions, Microsoft Fabric, Microsoft Purview, or ...

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All JobsEvening Microsoft Azure Data Engineer JobsEvening Microsoft Azure Data Engineer Jobs in Wisconsin

Evening Microsoft Azure Data Engineer information

What is the difference between Evening Microsoft Azure Data Engineer vs Evening Data Analyst?

AspectEvening Microsoft Azure Data EngineerEvening Data Analyst
CertificationsAzure Data Engineer Associate, Microsoft Certified: Data Analyst Associate
Work EnvironmentCloud platforms, data pipelines, infrastructure management
Primary FocusDesigning and implementing data solutions on Azure
Tools & TechnologiesAzure Data Factory, Azure SQL, Spark, Python

While both roles involve working with data, the Evening Microsoft Azure Data Engineer focuses on building and managing data infrastructure on Azure, whereas the Evening Data Analyst interprets data to generate insights. The Data Engineer handles data pipelines and cloud services, while the Data Analyst emphasizes data visualization and reporting.

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

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

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Cities in Wisconsin with the most Evening Microsoft Azure Data Engineer job openings:

Evening Microsoft Azure Data Engineer jobs near you
Infographic showing various Evening Microsoft Azure 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.

Data Engineer

Seymour, WI

Vultus Inc
Software Development • 11 - 50 employees
Learn more about Vultus Incexternal

$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.