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Evening Microsoft Azure Data Engineer Jobs in Wisconsin

WI · On-site

$120 - $180/hr

* Design, build, and optimize modern data platforms for clients using Microsoft Azure, Microsoft ... Engineer solutions using PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools ...

New

Possess in-depth knowledge and hands-on experience with Microsoft Fabric, Azure Synapse Analytics ... data engineers, analysts, and other stakeholders to ensure successful project delivery. * Keep ...

Data Engineer

Seymour, WI · On-site

$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 ...

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 ...

WI · On-site

$156 - $181/hr

The Solutions Engineer works closely with Solution Engineers, Principal Engineers, Project Managers ... Build and optimize data lakehouse and warehouse solutions in Azure and Microsoft Fabric, ensuring ...

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

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 ...

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 ...

WI · On-site

$65 - $80/hr

Stay up-to-date with the latest advancements in Microsoft Fabric, related Azure data services, and ... Define, optimize, and maintain Azure DevOps and GitHub Actions CI/CD pipelines, using ...

New

WI · On-site

$90 - $120/hr

Microsoft Fabric, Databricks) and assess their relevance pragmatically Your Profile * You bring solid experience in data engineering (typically 5 years), preferably within an Azure-based environment

New

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 ...

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 ...

WI · On-site

$120 - $150/hr

Guide CI/CD pipeline design and DevOps best practices * Conduct architecture reviews and recommend ... Deep expertise in Microsoft Azure (IaaS, PaaS, SaaS), including VMs, AKS, App Services, Azure ...

New

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Showing results 1-20

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.

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

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

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

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

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

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

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.

$120 - $180/hr

Other

Posted 2 days ago

New


Key responsibilities

  • Design, build, and optimize modern data platforms using Microsoft Azure, Databricks, Power BI, and related tools.

  • Develop and optimize batch and streaming data ingestion pipelines from various sources such as enterprise applications, databases, APIs, and files.

  • Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews with clients.


Job description


  • Design, build, and optimize modern data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks

  • Work directly with clients to understand business goals, data challenges, and technical requirements

  • Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews

  • Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources

  • Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows for analytics and reporting

  • Engineer solutions using PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks

  • Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security

  • Contribute to solution architecture and deliver high-quality modern data solutions that drive measurable business value

  • Facilitate design sessions with client stakeholders and present recommendations to leadership teams


Requirements

  • Bachelor’s degree in computer science or related field

  • 6+ years of experience in data engineering, data platform development, or cloud data solutions

  • 3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies

  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL

  • Expertise with Databricks, including enterprise-level strategy and architecture with Unity Catalog, data warehousing, data sharing, and Mosaic AI

  • DevOps for data, GitHub, automated testing, and containers such as AKS, Docker, and registries

  • Excellent communication skills and ability to clearly explain concepts to teammates and customers

  • Ability to quickly learn new concepts and technologies

  • Preferred: experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment

  • Preferred: experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents

  • Preferred: experience with data management, governance, security, master data management, and industry security requirements

  • Preferred: broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts beyond Microsoft


Core Competencies

Demonstrates expertise in designing and optimizing data platforms using Microsoft Azure, Databricks, and Power BI, with a strong focus on data ingestion, transformation, and governance. Proven ability to lead client engagements and deliver high-quality data solutions that align with business objectives.


Highest-signal resume keywords

  • Microsoft Azure

  • Databricks

  • Data Engineering

  • PySpark

  • DevOps for Data


ATS Optimization Keywords
Hard Skills

  • Data Platform Development

  • Batch and Streaming Data Ingestion

  • Data Transformation Workflows
  • SQL

  • Spark SQL

  • Delta Lake

  • Data Modeling

  • Data Governance

  • Data Warehousing

  • Data Sharing


Soft Skills

  • Excellent Communication Skills

  • Client Engagement

  • Team Collaboration

  • Problem Solving

  • Adaptability


Certifications & Qualifications

  • Bachelor’s Degree in Computer Science or Related Field


Industry Keywords

  • Cloud Data Solutions

  • Data Management

  • Data Governance

  • Master Data Management

  • Industry Security Requirements


Tools & Technologies

  • Microsoft Fabric

  • Power BI

  • Azure Data Factory

  • Synapse Data Analytics

  • Azure SQL

  • Azure Cosmos DB

  • AKS

  • Docker

  • GitHub

  • Unity Catalog

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