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Temporary 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 ...

Posted today

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 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 ...

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 Data Factory, Azure SQL, OneLake, Lakehouse concepts, or ... 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 ...

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 ...

New

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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Temporary Microsoft Azure Data Engineer information

What is the difference between Temporary Microsoft Azure Data Engineer vs Temporary AWS Data Engineer?

AspectTemporary Microsoft Azure Data EngineerTemporary AWS Data Engineer
CertificationsAzure Data Engineer Associate, Azure FundamentalsAWS Certified Data Analytics - Specialty, AWS Fundamentals
Work EnvironmentAzure cloud platform, Microsoft ecosystemAWS cloud platform, Amazon ecosystem
Industry UsageOrganizations using Microsoft Azure servicesOrganizations using Amazon Web Services
Common Search IntentComparing cloud data engineering roles within Azure and AWS

Temporary Microsoft Azure Data Engineers and Temporary AWS Data Engineers share similar roles in cloud data management but differ mainly in the cloud platform and certifications. Azure roles focus on Microsoft tools, while AWS roles are centered around Amazon services. Both are in high demand depending on the company's cloud infrastructure.

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

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

What cities in Wisconsin are hiring for Temporary Microsoft Azure Data Engineer jobs?

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

Temporary Microsoft Azure Data Engineer jobs near you

Data Engineer

Vultus Inc

Seymour, WI

$116K - $140K/yr

Full-time

Posted 8 hours ago

Posted today

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.