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Senior Microsoft Azure Data Engineer Jobs in Wisconsin

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Data Engineer - Manager

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

The Opportunity Roehl Transport is seeking a Senior Data Engineer to help design and deliver modern ... Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, OneLake, Lakehouse concepts, or ...

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

POSITION SUMMARY The Senior Data Engineer is the technical leader for IGEN's Data Foundation ... Strong working experience on Microsoft Azure data services - including Azure Data Factory, Azure ...

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

$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 ...

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Implement and test end-to-end data solutions under the guidance of senior engineers * Follow ... Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and ...

Associate Data Engineer

Madison, WI · On-site

$85K - $162K/yr

... Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our midmarket and enterprise clients. Working primarily inside the Microsoft stack (Azure ...

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Implement and test end-to-end data solutions under the guidance of senior engineers * Follow ... Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and ...

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Senior Microsoft Azure Data Engineer information

What does a Senior Microsoft Azure Data Engineer do?

A Senior Microsoft Azure Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft Azure cloud services. They manage data pipelines, ensure data quality, and optimize storage and processing for large-scale data environments. These professionals also collaborate with other teams to implement best practices in data security, compliance, and performance, leveraging tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their expertise helps organizations make data-driven decisions and improve business outcomes.

What are the most common challenges faced by Senior Microsoft Azure Data Engineers when designing cloud-based data solutions?

Senior Microsoft Azure Data Engineers often encounter challenges such as optimizing data pipeline performance, ensuring data security and compliance, and managing costs within cloud environments. Balancing scalability with efficiency, especially when dealing with large volumes of real-time data, requires a deep understanding of Azure services and best practices. Additionally, collaborating with data architects, analysts, and DevOps teams to integrate and maintain robust data solutions is a key aspect of the role. Staying updated with Azure’s rapidly evolving ecosystem is essential for long-term success.

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

To thrive as a Senior Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud architecture, and proficiency with Azure services, supported by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Synapse Analytics, Power BI, and relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are typically required. Strong problem-solving, communication, and project management skills distinguish top professionals in this role. These capabilities are essential for designing robust data solutions, ensuring data integrity, and effectively collaborating with stakeholders in complex cloud environments.

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

AspectSenior Microsoft Azure Data EngineerData Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentPrimarily cloud-based, Azure platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning, building, and maintaining data solutions on AzureDeveloping data pipelines, databases, and ETL processes
Industry UsageUsed in organizations leveraging Azure cloud servicesUsed across various industries and cloud providers

The main difference is that a Senior Microsoft Azure Data Engineer specializes in designing and managing data solutions specifically on the Azure platform, often requiring Azure certifications. In contrast, a Data Engineer may work with various cloud providers or on-premises systems without a focus on Azure, handling broader data pipeline and database tasks across different 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 Senior Microsoft Azure Data Engineer jobs in Wisconsin?

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

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

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

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

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

Senior Data Engineer

SysLogic, Inc.

Brookfield, WI • On-site, Remote

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


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

Requirements
  • 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.
Candidates will be required to travel to our corporate location for new hire orientation and onboarding.
Statement on AI Usage:
We embrace the responsible use of AI and recognize its growing importance in the workplace. Candidates may use AI tools to research our company, prepare for interviews, and refine application materials, provided the information accurately reflects their own experience, skills, and accomplishments.
During interviews and assessments, however, our goal is to get to know you. We want to understand how you think, communicate, solve problems, and apply your experience in real-world situations. Unless specifically stated otherwise, candidates should not use AI tools to generate responses or provide real-time assistance during interviews or evaluations.
To help ensure a fair, secure, and authentic hiring process, candidates may be asked to provide a verified LinkedIn profile, participate in live video and/or onsite interviews, and complete identity, employment, education, and background verification as permitted by law. We reserve the right to verify that the individual participating in the interview process is the same individual represented in the application and under consideration for employment.
We value integrity, transparency, and authenticity, and we are committed to creating a hiring experience that reflects those principles for every candidate.
Benefits
  • 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.