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Remote Azure Data Factory Jobs in Elgin, IL (NOW HIRING)

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

... Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses) * Build and optimize data ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

A BIT ABOUT WAVICLE Wavicle Data Solutions is a founder-led, high-growth consulting firm helping ... Our work is deeply rooted in strong partnerships with AWS, Databricks, Google Cloud, and Azure ...

Senior DevOps Engineer

Chicago, IL · Remote

$133K - $170K/yr

Container Apps, AKS, Azure Functions, Key Vault, Synapse, Data Factory, Azure Landing Zones ... Remote * US-based -- US citizenship is required * Contract or B2B arrangement Our values We are a ...

Data Security Consultant

Chicago, IL · On-site +1

$130K - $150K/yr

... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

New

Data Security Consultant

Chicago, IL · On-site +1

$130K - $150K/yr

... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

New

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Remote Azure Data Factory information

See Elgin, IL salary details

$10

$57

$78

How much do remote azure data factory jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote azure data factory in Elgin, IL is $57.73, according to ZipRecruiter salary data. Most workers in this role earn between $52.26 and $64.86 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What is a Remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.
What cities near Elgin, IL are hiring for Remote Azure Data Factory jobs? Cities near Elgin, IL with the most Remote Azure Data Factory job openings:

Azure AIS Architect/Developer

9to9 Software Solutions LLC

Chicago, IL • Remote

$65 - $84.75/hr

Contractor

Re-posted 24 days ago


Job description

If the candidate is from Chicago, well and good. If you find a non-local, the candidate has to be top notch. 
 
The candidate might have to travel to Chicago as per project requirement. But this is a remote opportunity. 
 
Position Name:- Azure AIS Architect/Developer
 Replacement or a new role:- New role
 FTE/CONTRACT:- Contractors.
 Location:- On shore – Remote (Chicago Preferred)
Years of experience :- 6-7 Years [Preferred]
 
Summary
 
We are seeking an experienced Azure Integration Services Architect/Developer  to join our team and
lead the migration of existing integrations from IBM EAI, Mulesoft, and MoovIT platforms to Azure
Integration Services. This role requires deep expertise in designing and architecting integration
solutions within Azure, combined with hands-on development skills to implement new integrations. The
A successful candidate will work closely with business stakeholders to understand integration
requirements, develop technical specifications, and deliver high-quality Azure-based integration
solutions.
.
Roles and Responsibilities :-
 
 Architecture and Design:
 
o Lead the architecture, design, and deployment of Azure Integration Services solutions to
replace legacy systems (IBM EAI, Mulesoft, MoovIT).
o Collaborate with business stakeholders to capture integration requirements, translate them
into technical specifications, and provide robust architectural solutions.
o Design scalable, secure, and reliable integration solutions using the full suite of Azure
Integration Services, including Azure Logic Apps, Service Bus, API Management, Event Grid,
Functions, and Data Factory.

 Development and Implementation:
 
o Develop new integrations on Azure to meet business and technical needs, implementing
custom logic as required using Python, Java, or Node.js.
o Create and configure Azure Service Bus for asynchronous messaging and reliable integration
patterns, including message queues, topics, and subscriptions.
o Implement event-driven architectures using Azure Event Grid for real-time data distribution.
o Set up and manage APIs through Azure API Management to support secure, scalable, and
reusable APIs for internal and external integrations.
o Utilize Azure Logic Apps to automate workflows and connect various data sources and
applications.
 Migration Planning and Execution:
 
o Assess existing IBM EAI, Mulesoft, and MoovIT integrations to develop a structured migration
approach to Azure.
o Design migration paths and identify necessary adjustments or refactoring for optimal
performance in the Azure environment.
o Ensure data and message integrity during the migration and minimize business disruption by
working closely with stakeholders and technical teams.
 Performance Optimization and Troubleshooting:

o Optimize integration solutions for high performance and reliability in Azure.
o Monitor and troubleshoot Azure Integration Services components to ensure smooth operation
and proactively address issues.
o Develop and implement best practices for performance tuning, error handling, and logging
across integration workflows.
 Documentation and Stakeholder Communication:

o Produce detailed technical documentation, including architecture diagrams, integration
specifications, and migration plans.
o Work closely with stakeholders across business and IT to provide regular updates, align on
requirements, and ensure seamless communication throughout the project lifecycle.
Required Qualification & skills :-

 Education:
 
 Bachelor’s or Master’s degree in Computer Science, Information
Technology, Engineering, or a related field

 Experience and Expertise:

o Proven experience (6+ years) working as an Integration Architect and
Developer, with hands-on experience in Azure Integration Services.
o Strong understanding of Azure’s full integration suite, including Azure Logic
Apps, Azure Service Bus, Azure API Management, Azure Event Grid, Azure
Functions, and Azure Data Factory.
o Demonstrated experience in migrating legacy integration platforms (such as IBM
EAI, Mulesoft, MoovIT) to Azure Integration Services.
 Technical Skills:

o Programming: Proficient in at least one programming language such as Python,
Java, or Node.js to support custom integration development.
o Messaging and Queuing: Deep understanding of message queues, service bus
architecture, asynchronous messaging, and event-driven design patterns.
o APIs: Strong experience with designing and managing APIs in Azure API
Management and integrating with various on-premises and cloud systems.
o Data Pipelines: Familiarity with Azure Data Factory for data movement and
transformation across diverse data sources.
 Additional Skills:

o Strong problem-solving and troubleshooting skills, with the ability to quickly
diagnose issues in complex integration environments.
o Excellent communication and interpersonal skills, with the ability to collaborate
effectively with stakeholders and translate business requirements into technical
solutions.
o Ability to work independently and as part of a team in a fast-paced, dynamic
environment.

Preferred Qualifications:

 Certification in Azure Integration Services or Azure Solutions Architect.
 Experience with DevOps practices, including CI/CD pipelines for Azure Integration
deployments.
 Familiarity with tools like Git, Visual Studio Code, and Azure DevOps for version
control, code management, and continuous integration.
 
Professional Growth Opportunities:

 Opportunity to lead the modernization of legacy integrations to a cloud-first architecture.
 Engage in challenging and impactful projects within a collaborative and innovative
team.

Thanks and Regards