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

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Remote Azure Data Factory information

See Peoria, IL salary details

$10

$57

$78

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

As of Aug 25, 2026, the average hourly pay for remote azure data factory in Peoria, IL is $57.30, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $64.38 per hour, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Remote Azure Data Factory jobs in Peoria, IL?

For Remote Azure Data Factory jobs in Peoria, IL, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Factory jobs in Peoria, IL look for?

The top searched job categories for Remote Azure Data Factory jobs in Peoria, IL are:

What cities near Peoria, IL are hiring for Remote Azure Data Factory jobs?

Cities near Peoria, IL with the most Remote Azure Data Factory job openings:

Remote Azure Data Factory jobs near you

IT Software Engineer 5 - Scala, Akka & Java Microservices

Peoria, IL • Remote

The AES Group
See more jobs at The AES Groupexternal

$53 - $72.75/hr

Contractor

Posted 17 days ago

Job description

Job Title: - IT Software Engineer 5 ---– Scala, Akka & Java Microservices
Location: 100% remote 

About The AES Group:
The AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that have the greatest positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, engineering, and other emerging technologies.

Position’s Contributions to Work Group: 
•    As a Senior Software Engineer, you will build platform notification services that enable Client customers to be alerted for events that are critical to efficiently operate Client engines and machines.

Education & Experience Required: 
•    Bachelor’s degree with 10+ years 
•    Master’s Degree with 8+ years 

Required Technical Skills 
•    5+ years of software development experience using Java 8+
•    2+ years of Scala programming experience
•    2+ years of Akka technologies such as Streams, Actors, HTTP, Persistence

Top candidates will also have:
Proven experience in many of the following:
•    Experience designing well-defined Spring Boot Restful APIs
•    Experience with design and implementation of high-availability and reliable solutions 
•    Designing, developing, deploying and maintaining software at scale.
•    Application architectural patterns, such as MVC, Microservices, Event-driven, etc.
•    Deploying software using CI/CD tools, such as Azure DevOps, Jenkins, etc. 
•    Deploying and maintaining software using AWS. Other AWS technologies, such as API Gateway, ALB, NLB, Fargate, Lambda, S3, CloudWatch, IAM, CloudFormation, etc
•    Developing software applications using relational and NoSQL databases such as PostgreSQL, AWS DynamoDB
•    Working within an Agile framework (ideally Scrum)
•    Must demonstrate solid knowledge of Computer Science fundamentals, such as data structures and algorithms.
•    Passion for technology and an eagerness to contribute to a team-oriented environment
•    Demonstrated leadership on small to medium-scale projects impacting strategic priorities

Typical task breakdown:
As a Senior Software Engineer you will be is responsible for development of services using Scala and Akka technologies. The responsibilities include the following:

•    Competent to perform all programming, project management, and development assignments without close supervision; normally assigned the more complex aspects of systems work.
•    Works directly on complex application/technical problem identification and resolution
•    Works independently on complex systems or infrastructure components that may be used by one or more applications or systems.
•    Drives application development focused around delivering business valuable features
•    Mentors and assists software engineers, providing technical assistance and direction as needed
•    Maintains high standards of software quality within the team by establishing good practices and habits
•    Identifies and encourage areas for growth and improvement within the team
•    Guides the team to develop structured application/interface code, new program documentation, operations documentation and user guides in a casual, flexible environment
•    Communicates with end users and internal customers to help direct development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness
•    Performs integration testing and customer acceptance testing of components that requires careful planning and execution to ensure timely, quality results.