1

Azure Data Jobs in Chicago, 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

Azure Data Architect with Insurance domain Madison, WI or Chicago, IL (Remote will work but need to come onsite once a Month on their expense) Client: Insurance domain. Note: In the JD you can ignore ...

Job Summary The Azure Data Engineer/Analystsupports the development and delivery of enterprise business intelligence, data analysis, and reporting solutions for Medline's Sales organizations. This ...

Sr. Azure Data Engineer

Northbrook, IL · On-site

$101K - $152K/yr

Knowledge and experience of building data lake and enterprise analytics solutions with Microsoft Azure, including Azure Data Factory,Azure SQL Databaseand other Azure services. Additional * Data ...

Client

Chicago, IL · On-site

$56.75 - $70.25/hr

Job Title Azure Databricks Data Engineer Estimated Start Date 3/10/2025 Location Chicago, IL~Dallas,TX Duration(Months) 6 Months Remote Possibility Onsite Overall 6+ years of experience as developer ...

Enterprise Azure Architect

Chicago, IL · On-site

$65.50 - $85.25/hr

Staffworxs is a company that powers transformation through digital and data analytics. They are seeking a highly experienced Enterprise Azure Architect to lead large-scale enterprise integration and ...

next page

Showing results 1-20

Azure Data information

See Chicago, IL salary details

$11

$60

$82

How much do azure data jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for azure data in Chicago, IL is $60.16, according to ZipRecruiter salary data. Most workers in this role earn between $54.47 and $67.60 per hour, depending on experience, location, and employer.

What is the difference between Azure Data vs Data Engineer?

AspectAzure DataData Engineer
CertificationsAzure Data Engineer Associate, Azure FundamentalsGoogle Cloud Professional Data Engineer, AWS Certified Data Analytics
Work EnvironmentPrimarily cloud-based, using Azure platformCloud, on-premises, or hybrid environments
Industry UsageOrganizations leveraging Azure cloud servicesOrganizations managing large-scale data pipelines and storage
Common Search IntentAzure Data roles, Azure Data solutionsData pipeline development, data architecture

Azure Data professionals focus on managing data within the Azure cloud ecosystem, utilizing Azure-specific tools and services. Data Engineers have a broader scope, designing and building data pipelines across various platforms, including Azure, AWS, or on-premises systems. While Azure Data roles are specialized for Azure environments, Data Engineers work across multiple cloud providers and on-premises setups, making their roles more versatile in data infrastructure development.

How does an Azure Data professional typically collaborate with other teams within an organization?

Azure Data professionals frequently work alongside data engineers, business analysts, developers, and IT administrators to ensure that data solutions are robust, scalable, and meet business needs. They often participate in cross-functional meetings to understand requirements, troubleshoot issues, and optimize data pipelines. Effective communication is key, as they translate technical concepts for non-technical stakeholders and provide guidance on best practices for data storage, processing, and security within Azure environments.

What are the key skills and qualifications needed to thrive as an Azure Data professional, and why are they important?

To thrive as an Azure Data professional, you need expertise in data modeling, SQL, and cloud data architecture, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure SQL Database, Data Factory, Synapse Analytics), and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving, analytical thinking, and effective communication skills help you excel in cross-functional teams and translate business requirements into technical solutions. These competencies ensure data solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving cloud environment.

What are Azure Data jobs?

Azure Data jobs refer to roles that focus on managing, analyzing, and securing data using Microsoft's Azure cloud platform. These positions can include data engineers, data analysts, database administrators, and data architects who work with Azure services like Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Responsibilities often involve designing data solutions, building data pipelines, ensuring data quality, and implementing security best practices on Azure. Professionals in Azure Data roles help organizations leverage cloud-based data technologies to gain insights, optimize operations, and support business decision-making.
Infographic showing various Azure Data job openings in Chicago, IL as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $125,138 per year, or $60.2 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