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Azure Data Factory Jobs in Wisconsin (NOW HIRING)

Concurrency

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

Strong hands-on experience with technologies such as Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services * Demonstrated experience leading technical ...

Komatsu

IT Manager, Data & Analytics

Milwaukee, WI · On-site

... Azure data services (Data Factory, SQL, Fabric preferred). • Expertise in MDM platforms, data governance frameworks, and regulatory compliance. • Strong background in cloud-based data platforms ...

Society Insurance

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) * Deep understanding of data modeling, ETL/ELT patterns, and data integration. * Experience implementing ...

New

Society Insurance

Data Architect

North Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Azure App Services * Microsoft Azure Synapse, Data Factory & Fabric * Microsoft stack of Business Intelligence Tools (Power BI) * Data Modeling (Idera ERStudio) * Data Warehouse Design * Data ...

Farm Systems

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

AgSource

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Trans Ova Genetics

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Urus Group LP

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Urus

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

MLG Capital

Analytics Engineer

Brookfield, WI

Support data pipelines, ETL/ELT workflows, and automation processes across the Microsoft ecosystem, including Azure Data Factory, Azure Functions, Azure, VS Code and others Microsoft workflows.

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

Support data pipelines, ETL/ELT workflows, and automation processes across the Microsoft ecosystem, including Azure Data Factory, Azure Functions, Azure, VS Code and others Microsoft workflows.

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks * Write and tune PySpark / Spark SQL notebooks for large-scale data transformation * Architect end-to-end ...

Bakertilly

Associate Data Engineer

Milwaukee, WI

$85K - $162K/yr

Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement bestpractice patterns for performance, security, and cost ...

Bakertilly

Associate Data Engineer

Madison, WI

$85K - $162K/yr

Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement bestpractice patterns for performance, security, and cost ...

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How much do azure data factory jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for azure data factory in Wisconsin is $58.95, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $66.25 per hour, depending on experience, location, and employer.

What is an Azure Data Factory job?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

Is ADF better than SSIS?

Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) are both data integration tools, but ADF is a cloud-based service optimized for large-scale, cloud-native data workflows, while SSIS is an on-premises tool suited for traditional ETL processes. For jobs involving cloud data movement, ADF offers better scalability and integration with Azure services, whereas SSIS is preferred for on-premises environments and complex transformations requiring local resources.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals with skills in this tool are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related Azure services enhances job prospects in data engineering and analytics roles.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is ADF difficult to learn?

Azure Data Factory (ADF) is a data integration service that requires understanding of data workflows, pipelines, and cloud-based tools. While it has a learning curve for beginners, familiarity with SQL, data transformation concepts, and cloud environments can help accelerate the learning process. Many users find that hands-on practice and official documentation make mastering ADF achievable within a reasonable timeframe.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, enabling efficient data processing and analytics. Knowledge of data integration, ETL processes, and familiarity with Azure environment are important for working with Azure Data Factory.
What are the most commonly searched types of Azure Data Factory jobs in Wisconsin? The most popular types of Azure Data Factory jobs in Wisconsin are:
What are popular job titles related to Azure Data Factory jobs in Wisconsin? For Azure Data Factory jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Azure Data Factory jobs in Wisconsin look for? The top searched job categories for Azure Data Factory jobs in Wisconsin are:
Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in Wisconsin as of June 2026, with employment types broken down into 4% As Needed, 70% Full Time, 13% Part Time, 4% Temporary, and 9% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $122,613 per year, or $58.9 per hour.
Data Architect

Data Architect

Concurrency

Milwaukee, WI • On-site

$62.75 - $80.75/hr

Full-time

Posted 7 days ago

Job description

Who We Are
At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm, constantly seeking the next challenge and pushing boundaries to redefine what's achievable. Recognized as a Microsoft Solutions Partner, a ServiceNow Elite Partner, and recipient of multiple Partner of the Year awards, Concurrency is synonymous with excellence. If you're fueled by the desire to transform technology into real-world solutions, join us and unleash your potential as a change catalyst.
Who We're Looking For
We're looking for a full stack Data Architect to help take our Cloud, Data & AI Solutions team to the next level. Your focus will be on designing data-intensive applications in Azure that align with customer business goals and helping set internal technical direction for our Cloud, Data & AI Solutions group. The ideal candidate excels at creating modern data solutions to stubborn business problems and enjoys working across the entire data stack from requirements gathering to system design, implementation, and documentation. You thrive in early-stage environments that provide freedom to move fast and ship new features at high velocity without compromising quality standards. You'll work with a high-performance engineering team and report directly to the Practice Manager, significantly influencing our technical direction and that of our customers.
At Concurrency, we believe in living out our core valuesevery day. These principles guide our actions, decisions, and interactions:
Be Yourself: Be the best version of your whole self. Your authenticity matters.
Be Bold: Bravely and respectfully take risks and challenge the norm.
Have a Growth Mindset: Be open to learning and apply your expertise.
Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives. Pay it forward.
Assume Positive Intent: Lead with giving the benefit of the doubt.
What You'll Do
  • Lead end-to-end technical discovery and architecture design for complex data and analytics initiatives, translating ambiguous business goals into scalable, secure data solutions

  • Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures using services such as ADLS, Databricks, Fabric, Synapse, and related tooling

  • Define and document reference architectures, design patterns, and implementation standards that are reusable across clients and engagements

  • Serve as a trusted technical advisor to client stakeholders, guiding architectural decisions, tradeoffs, and roadmaps aligned to business outcomes

  • Balance ideal-state architecture with real-world constraints including cost, timeline, data maturity, and team skill sets

  • Oversee and review solution implementations to ensure architectural integrity, performance, scalability, and security best practices

  • Partner with delivery teams to resolve complex technical challenges and act as an escalation point for architecture-related decisions and positive client sentiment

  • Integrate AI-augmented delivery practices into solution design and implementation, while exercising strong engineering judgment and governance

  • Mentor engineers and senior engineers through architecture reviews, design sessions, and ongoing coaching

  • Contribute to pre-sales activities including technical discovery workshops, solution shaping, and proposal support

What You'll Need
  • Over 7 years of experience designing and delivering data solutions, with experience operating in an architecture or senior technical leadership role

  • Deep expertise in modern data architectures, including lakehouse, ELT/ETL orchestration, data modeling, and analytics platforms on Microsoft Azure

  • Proven ability to design scalable data solutions supporting structured, semi-structured, and unstructured data

  • Strong hands-on experience with technologies such as Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services

  • Demonstrated experience leading technical discovery, requirements gathering, and architecture design in client-facing environments

  • Strong understanding of data governance, security, and compliance considerations (e.g., RBAC, data classification, lineage)

  • Experience leveraging AI-augmented delivery techniques to improve solution quality and productivity, with the ability to establish usage standards and lead by example through hands-on application.

  • Ability to communicate complex architectural concepts clearly to both technical and non-technical audiences

  • Comfort operating with a high degree of autonomy while collaborating across cross-functional teams

What Will Set You Apart
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field

  • Experience designing enterprise-scale data platforms using Microsoft Fabric, Azure Synapse, or multi-cloud data ecosystems

  • Exposure to AI-enabled data patterns such as vector search, RAG architectures, or analytics supporting generative AI use cases

  • Relevant certifications such as Azure Data Engineer Associate (DP-203), Fabric Engineer Associate, or architecture-focused credentials

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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