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Contract Azure Data Engineer Jobs in McCook, IL (NOW HIRING)

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

Azure Data Engineer Location: Chicago, IL - must do one day week onsite Length: 6 months This will require an onsite interview or require the candidate to pick up their laptop in person Requirements ...

Azure Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Partner with business, data engineering, and platform teams to enable Insights creation for delivering more value * Support Azure-based data platforms and data products, optimizing models for ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake ...

... 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 ...

... 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 ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP-600, DP-700) certifications, and Databricks certifications are highly desirable What Success Looks ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Summary: We are seeking an experienced Data Engineer with expertise in the Microsoft Business ... Knowledge of Azure data services (e.g., Azure SQL, Azure Analysis Services, Fabric) is a plus.

Data Engineer

Downers Grove, IL

$114K - $137K/yr

Summary: We are seeking an experienced Data Engineer with expertise in the Microsoft Business ... Knowledge of Azure data services (e.g., Azure SQL, Azure Analysis Services, Fabric) is a plus.

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Summary: We are seeking an experienced Data Engineer with expertise in the Microsoft Business ... Knowledge of Azure data services (e.g., Azure SQL, Azure Analysis Services, Fabric) is a plus.

Data Engineer

Downers Grove, IL

$114K - $137K/yr

Summary: We are seeking an experienced Data Engineer with expertise in the Microsoft Business ... Knowledge of Azure data services (e.g., Azure SQL, Azure Analysis Services, Fabric) is a plus.

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Contract Azure Data Engineer information

See McCook, IL salary details

$44K

$128.3K

$175.5K

How much do contract azure data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for contract azure data engineer in McCook, IL is $128,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $136,000.00 per year, depending on experience, location, and employer.

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

AspectContract Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, cloud certificationsGeneral data engineering certifications, such as Google Cloud or AWS certifications
Work EnvironmentPrimarily cloud-based, Azure platformCloud or on-premises, varies by employer
Industry UsageOrganizations using Microsoft AzureOrganizations using various cloud providers or on-premises data solutions
Search IntentComparing roles focused on Azure cloud data solutionsBroader data engineering roles across platforms

The Contract Azure Data Engineer specializes in building and managing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, the Contract Data Engineer has a broader scope, working across multiple cloud providers or on-premises environments. The Azure-focused role is ideal for those targeting Azure-centric projects, while the general Data Engineer role offers flexibility across different platforms.

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

To thrive as a Contract Azure Data Engineer, you need strong expertise in data engineering concepts, SQL, ETL processes, and a solid understanding of Azure cloud services, typically supported by a relevant degree or certifications like Microsoft Certified: Azure Data Engineer Associate. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and Power BI is commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are standout soft skills in this role. These skills ensure efficient data pipeline development, seamless integration with cloud systems, and successful project delivery in dynamic contract environments.

What types of projects and team structures can a Contract Azure Data Engineer expect to work with?

As a Contract Azure Data Engineer, you will typically work on projects centered around data migration, data warehousing, or the implementation of cloud-based analytics solutions using Microsoft Azure. You may be embedded within cross-functional teams that include data architects, analysts, and software engineers, often collaborating closely to deliver solutions under tight deadlines. The contract nature of the role means you might be brought in to address specific technical challenges or to accelerate ongoing projects, so adaptability and strong communication skills are highly valued. This role often provides exposure to diverse industries and the opportunity to quickly expand your professional network.

What are Contract Azure Data Engineers?

Contract Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data solutions using Microsoft Azure's cloud services. They specialize in creating data pipelines, integrating various data sources, and ensuring data is stored, processed, and made available efficiently in the Azure environment. These engineers often work with tools like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Their role is critical for organizations needing scalable, secure, and reliable data infrastructure in the cloud.
What are popular job titles related to Contract Azure Data Engineer jobs in McCook, IL? For Contract Azure Data Engineer jobs in McCook, IL, the most frequently searched job titles are:
What job categories do people searching Contract Azure Data Engineer jobs in McCook, IL look for? The top searched job categories for Contract Azure Data Engineer jobs in McCook, IL are:
Infographic showing various Contract Azure Data Engineer job openings in McCook, IL as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $128,267 per year, or $61.7 per hour.

Azure Data Engineer

Scadea

Chicago, IL

$118K - $141K/yr

Full-time

Posted 18 days ago


Job description

Client is looking for a strong Azure Data Engineer to join their project.
Job Title: Azure Data Engineer
Location: Chicago, IL - must do one day week onsite
Length: 6 months
This will require an onsite interview or require the candidate to pick up their laptop in person
Requirements/Top Skills Needed:
ADF
Databricks
Python
SQL
Retail experience would be helpful, but not required
Job Title: Azure Data Engineer
Job Summary:  We are seeking a highly skilled Azure Data Engineer to design, build, and optimize our next-generation cloud data platform. You will build scalable data pipelines, manage enterprise data warehouses, and transform massive datasets using Azure Cloud, ADF, Databricks, Spark, and PySpark.
Key Responsibilities
· Pipeline Orchestration: Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF).
· Big Data Processing: Build high-performance, distributed data transformation workloads via Azure Databricks and Apache Spark/PySpark.
· Data Warehousing: Architect, model, and maintain cloud-native Data Warehouses and Data Lakes (ADLS Gen2).
· Architecture Implementation: Apply modern architectural patterns like the Medallion Architecture (Bronze, Silver, Gold layers) and Delta Lake formats.
· Performance Tuning: Optimize Spark jobs, cluster configurations, and SQL queries to minimize latency and cloud compute costs.
· Governance & Security: Implement security frameworks, data lineage, and user access policies using Unity Catalog.
· CI/CD Automation: Deploy, monitor, and automate workflows using Azure DevOps and automated alert configurations.
Required Technical Skills:
· Cloud Platform: Microsoft Azure Ecosystem (ADLS Gen2, Azure SQL, Synapse Analytics, Key Vault, Storages, Azure Functions, Logic Apps).
· Data Orchestration: Advanced proficiency in Azure Data Factory (ADF).
· Compute & Analytics: Deep hands-on experience with Azure Databricks.
· Big Data Frameworks: Strong mastery of Apache Spark and PySpark (including Spark SQL).
· Languages: Expert level in Python and SQL.
· Data Warehousing: Solid understanding of Data Modeling (Star/Snowflake schema) and warehousing concepts