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Azure Data Engineer Jobs in Wisconsin (NOW HIRING)

Samprasoft

Off-shift Azure Data Engineer

Beloit, WI · On-site

$57 - $74/hr

Multiple programming languages, frameworks, cloud architecture: * Languages: T-SQL, Python, C# * ETL: Azure Data Factory, Azure Databricks * Architectural Patterns: Data Warehousing, Medallion ...

Kaav Inc.

Off-shift Azure Data Engineer

Beloit, WI · On-site

$57 - $74/hr

Required Skills Multiple programming languages, frameworks, cloud architecture: * Languages: T-SQL, Python, C# * ETL: Azure Data Factory, Azure Databricks * Architectural Patterns: Data Warehousing ...

Vertex Group

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Cloud data platforms (Azure preferred; AWS/Google Cloud Platform acceptable) * Azure Data Lake ... Engineering generalist (not toolonly or reportingonly) * Comfortable working in ambiguous ...

Pwc

Data Engineer - Manager

Milwaukee, WI · On-site

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI

$77K - $202K/yr

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

Baker Tilly US

Associate Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

The Associate Data Engineer will design, build, and optimize modern data solutions, transforming ... T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement ...

Baker Tilly US

Associate Data Engineer

Madison, WI · On-site

$115K - $138K/yr

The Associate Data Engineer will design, build, and optimize modern data solutions, transforming ... T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI

$124K - $280K/yr

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

My3Tech Inc

Azure Databricks Developer

Madison, WI · On-site

$55.50 - $68.75/hr

Madison, WI Duration: 12 Months Must have working experience in Python R Spark Azure Databricks PySpark SparkSQL Scala Azure Data Factory DevOps KeyVault Blob Storage Data Lake Delta Lake PowerShell ...

Baker Tilly US

Data Solution Architect

Madison, WI · On-site

Preferred : • Experience with Azure Cloud infrastructure, including hybrid analytics workload configurations and networking. • Certifications in Azure Engineering (e.g., Azure Data Engineer ...

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Pwc

Data Engineer - Manager

Milwaukee, WI · On-site

$99K - $232K/yr

... Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment of scalable data solutions ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Wisconsin

Azure Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do azure data engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for azure data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What engineers make $300,000 a year?

Senior data engineers, including those working with cloud platforms like Azure, can earn $300,000 or more annually, especially with extensive experience, specialized skills in data architecture, and relevant certifications. High salaries are often found in large organizations or in roles requiring advanced expertise in big data, machine learning, and data pipeline management.

Is azure data engineer a good career?

Azure Data Engineer is a valuable career path involving designing and implementing data solutions using Microsoft Azure tools and services. It requires skills in data modeling, cloud computing, and familiarity with tools like Azure Data Factory and SQL, with certifications enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management across industries.

What is the salary of azure data engineer?

The average salary of an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Senior roles or those in high-demand regions may offer higher compensation.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in data architecture, and certifications. High compensation is often associated with leadership roles, large organizations, or those with expertise in big data, machine learning, and advanced analytics.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
What are the most commonly searched types of Azure Data Engineer jobs in Wisconsin? The most popular types of Azure Data Engineer jobs in Wisconsin are:
What are popular job titles related to Azure Data Engineer jobs in Wisconsin? For Azure Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Wisconsin look for? The top searched job categories for Azure Data Engineer jobs in Wisconsin are:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 91% Full Time, 3% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.
Off-shift Azure Data Engineer

Off-shift Azure Data Engineer

Samprasoft

Beloit, WI • On-site

$57 - $74/hr

Other

Posted 3 days ago

Job description

Hands-On Backend Software Engineer

Hands-on backend software engineer in an agile environment with multiple programming languages, frameworks, cloud architecture.

Required Skills:

  • Multiple programming languages, frameworks, cloud architecture:
    • Languages: T-SQL, Python, C#
    • ETL: Azure Data Factory, Azure Databricks
    • Architectural Patterns: Data Warehousing, Medallion Architecture, Microservices Architecture, Event-based Architecture
    • Source control: Git code management
    • Strong data modeling and lineage background
  • Deploying production services in a cloud environment; ideally Azure including:
    • Azure Functions, Azure Data Factory, Azure Batch Service, Azure API Management, GraphQL
    • App Insights (Logging / Alerts)

Job Duties:

The client is looking to staff one, possibly two, resources skilled in software development primarily around database engineering abilities. The client would be asking this/these resource(s) to assist with off-hours, as well as weekends, deployments, running ETL pipelines, and reacting to failures across many different applications and our datahub platform.

Job Requirements:

The Client, 14-time winner of Gallup’s Great Workplace Award, with more than 700 stores and $18+ billion in revenue, is seeking a Technical Product Owner to join the Data Solutions team to help deliver ODS (Operational Data Store) solutions that support a variety of projects involving Digital B2B eCommerce, Order Gateway processing applications, business process solutions, and much more. We believe in high-quality solutions that are highly reliable and highly available that are implemented using modern technology and constant innovation.

As a Data Solutions Backend Software Engineer, you will…

  • Design, develop, implement, and maintain solutions in Azure using the following tech: Azure SQL, Databricks, Azure Data Factory, and GraphQL. Expertise in Batch Services, Service Buses, Event Grid, Function Apps, APIM, App Insights, Key Vault, and performance tuning/optimization.
  • Care about quality and clean code; deliver high quality code including logging, alerting, and monitoring – the DevOps mindset
  • Work in an agile fashion to develop, estimate, test, and maintain our backend systems, while collaborating with team members on product backlog grooming, sprint planning, execution, review, and retrospective
  • Be an active contributor to development best practices and code reviews to ensure coding standards are followed, implementation meets requirements, and proper tests are written
  • Communicate effectively with all associates and business contacts to promote a strong sense of teamwork
  • Foster an innovative culture with an eye towards a DevOps mindset, scalability, reliability & performance
  • Design high-performing queries and views; performance tuning of queries
  • Design efficient DB schemas
  • Data Driven Unit tests for Validating SQL

Qualifications:

  • Bachelor’s degree in Computer Science or comparable work experience
  • 5+ years of proven experience working as a hands-on Backend Software Engineer in an agile environment with multiple programming languages, frameworks, cloud architecture:
    • Languages: T-SQL, Python, C#
    • ETL: Azure Data Factory, Azure Databricks
    • Architectural Patterns: Data Warehousing, Medallion Architecture, Microservices Architecture, Event-based Architecture
    • Source control: Git code management
    • Strong data modeling and lineage background
  • Deploying production services in a cloud environment; ideally Azure including:
    • Azure Functions, Azure Data Factory, Azure Batch Service, Azure API Management, GraphQL
    • App Insights (Logging / Alerts)
  • Demonstrated experience in identifying, debugging, and resolving complex production issues
  • Excellent written and verbal communication skills and strong cognitive ability especially with respect to understanding, documenting, and describing complex technical subjects
  • Strong interpersonal skills and broad business and technical knowledge

Bonus Skills:

  • Cloud experience with Azure (Web Apps, Terraform, Azure DevOps, DBT)

Desired Skills & Experience:

  • 5+ years of proven experience working as a hands-on Backend Software Engineer in an agile environment with multiple programming languages, frameworks, cloud architecture:
    • Languages: T-SQL, Python, C#
    • ETL: Azure Data Factory, Azure Databricks
    • Architectural Patterns: Data Warehousing, Medallion Architecture, Microservices Architecture, Event-based Architecture
    • Source control: Git code management
    • Strong data modeling and lineage background
  • Deploying production services in a cloud environment; ideally Azure including:
    • Azure Functions, Azure Data Factory, Azure Batch Service, Azure API Management, GraphQL
    • App Insights (Logging / Alerts)
  • Demonstrated experience in identifying, debugging, and resolving complex production issues
  • Excellent written and verbal communication skills and strong cognitive ability especially with respect to understanding, documenting, and describing complex technical subjects
  • Strong interpersonal skills and broad business and technical knowledge

Bonus Skills:

  • Cloud experience with Azure (Web Apps, Terraform, Azure DevOps, DBT)

This is a high priority requisition.

Apply