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Contract 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 ...

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 ...

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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 ...

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

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 ...

Please note that this is a (contract/contract to hire/direct hire) opportunity with our client and ... Microsoft Azure to Google Cloud Platform (GCP). · Google Cloud Professional Data Engineer ...

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 ...

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Contract Microsoft Azure Data Engineer information

What is a Contract Microsoft Azure Data Engineer?

Contract Microsoft Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and manage data solutions using Microsoft Azure cloud services. They are responsible for developing data pipelines, integrating data from multiple sources, and ensuring data is stored securely and efficiently in the cloud. These engineers typically work with technologies like Azure Data Factory, Azure SQL Database, and Azure Databricks to support analytics and business intelligence needs. Their contract status means they may work for specific projects or short-term engagements rather than as permanent employees.

What are the key skills and qualifications needed to thrive as a Contract Microsoft Azure Data Engineer, and why are they important?

To thrive as a Contract Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, SQL, and proficiency with Azure data services, typically supported by a degree in computer science or a related field. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and relevant Azure certifications (like Azure Data Engineer Associate) are highly valued. Strong problem-solving, communication, and adaptability are essential soft skills for collaborating with stakeholders and addressing evolving project requirements. These skills ensure efficient data solutions, seamless cloud integration, and successful project delivery in dynamic enterprise environments.

What are some common challenges faced by Contract Microsoft Azure Data Engineers when joining new projects?

Contract Microsoft Azure Data Engineers often encounter challenges such as quickly understanding existing data architectures, adapting to varying data governance standards, and integrating with diverse client teams. Since contract roles are typically project-based, engineers must rapidly familiarize themselves with the organization’s Azure environment, security protocols, and workflow tools. Strong communication and a proactive approach to documentation help streamline collaboration with permanent team members, ensuring smooth project delivery despite tight timelines.

What is the difference between Contract Microsoft Azure Data Engineer vs Contract Data Engineer?

AspectContract Microsoft Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentCloud-based, Azure platform-focusedOn-premises or cloud, various platforms
Industry UsageOrganizations using Microsoft AzureOrganizations using diverse data platforms
Job FocusDesigning, building, and maintaining Azure data solutionsDeveloping data pipelines and managing data workflows

The Contract Microsoft Azure Data Engineer primarily focuses on designing and implementing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, a Contract Data Engineer may work across various environments, including on-premises or different cloud providers, with a broader scope of tools and platforms. The Azure Data Engineer role is ideal for those specializing in Microsoft Azure, while the Data Engineer role offers more flexibility across data environments.

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 Contract Microsoft Azure Data Engineer jobs in Wisconsin?

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

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

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

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

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

$120 - $180/hr

Other

Posted 4 days ago


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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