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Azure Data Engineer Jobs in Plainfield, IL (NOW HIRING)

Scadea

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Job Title: Senior Data Engineer Location: Chicago, IL or Minneapolis, Minn. 3-4 days per week ... Strong exposure to cloud-based solution design and implementation, particularly within the Azure ...

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

The Data Engineer ensures that clean, reliable, and well-structured data is readily available to ... Develop and maintain efficient ETL/ELT processes using tools like Azure Data Factory, SSIS, or ...

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

The Data Engineer ensures that clean, reliable, and well-structured data is readily available to ... Develop and maintain efficient ETL/ELT processes using tools like Azure Data Factory, SSIS, or ...

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

The Data Engineer is responsible for designing and implementing data pipelines for cloud projects ... Cloud Certifications in AWS, Azure or GCP. Physical Demands: Competencies: Disclaimer: The above is ...

TEKFORTUNE INC

Data Engineer Lead

Lisle, IL · On-site

$112K - $135K/yr

As a Data Engineer Lead, you will ensure data accuracy and reliability, manage data extraction and ... Azure Data Factory or AWS Glue. • Experience with data migration platforms like Syniti or data ...

RB Global Inc.

Senior Staff Software Engineer

Chicago, IL · On-site

$120 - $160/hr

Personally deliver complex, high-impact data engineering work on IAA's Azure data and analytics stack -- ingestion, transformation, storage, semantic modeling, and data delivery. * Apply and help ...

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with ... Experience with Git, Octopus, and Azure DevOps for CI/CD

Trova Search

ETL Developer

Hinsdale, IL · On-site

$51.25 - $67/hr

Azure Data Engineer Associate * Databricks Certified Data Engineer * Certifications related to data governance, risk, or compliance * Master's degree in Computer Science, Information Systems, or ...

Pwc

Data Engineer - Senior Manager

Chicago, IL · On-site

$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 ...

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Showing results 21-40

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Plainfield, IL

Azure Data Engineer information

See Plainfield, IL salary details

$43.4K

$126.4K

$173K

How much do azure data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for azure data engineer in Plainfield, IL is $126,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $134,000.00 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?

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 is an Azure Data Engineer?

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.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.
What are popular job titles related to Azure Data Engineer jobs in Plainfield, IL? For Azure Data Engineer jobs in Plainfield, IL, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Plainfield, IL look for? The top searched job categories for Azure Data Engineer jobs in Plainfield, IL are:
What cities near Plainfield, IL are hiring for Azure Data Engineer jobs? Cities near Plainfield, IL with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Plainfield, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $126,435 per year, or $60.8 per hour.

Senior Data Engineer

Scadea

Chicago, IL

$109K - $148K/yr

Full-time

Posted 7 days ago

Job description

Job Title: Senior Data Engineer
Location: Chicago, IL or Minneapolis, Minn. 3-4 days per week onsite
Length: 6-10 months
 
Must haves: 
 
• Cloud Solution Exposure:
• Strong exposure to cloud-based solution design and implementation, particularly within the Azure ecosystem, Databricks and ADF
• Large-Scale Data Architecture & Design:
• Experience in designing and handling high-volume data systems, including scalable data architectures for enterprise use cases. Understanding of Kafka platform
• Data Migration Programs:
• Proven track record in executing data migration initiatives involving large datasets, ensuring data accuracy, consistency, and minimal disruption.
• Data Platforms & Technologies:
• Hands-on experience with modern data platforms including Data Lakes and NoSQL databases such as MongoDB.
• Azure Ecosystem Expertise:
• Familiarity with Azure data and analytics services, supporting end-to-end data processing, storage, and integration workflows.
• AI Enablement:
• Exposure to AI-enabled solutions, incorporating intelligent capabilities into data platforms and modernization initiatives.