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Entry Level Azure Data Engineer Jobs in Chicago, IL

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 ...

Relevant Work Experience * 5+years of experience in software engineering, with a focus on data ... Azure services. Additional * Data Modeling tools (e.g. Erwin, Visio) knowledge

Relevant Work Experience * 5+years of experience in software engineering, with a focus on data ... Azure services. Additional * Data Modeling tools (e.g. Erwin, Visio) knowledge

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 ...

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 ...

... Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Tata Consultancy Services is seeking a Senior Data Engineer to design and build end-to-end data ... working within Azure environments to provision resources and maintain data workflows.

... Azure Data Factory to enhance data engineering capabilities - Applying data architecture ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Azure Data Factory to enhance data engineering capabilities - Applying data architecture ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Showing results 1-20

Entry Level Azure Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do entry level azure data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for entry level azure data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is an Entry Level Azure Data Engineer?

An Entry Level Azure Data Engineer is a professional who helps design, build, and maintain data solutions on Microsoft Azure's cloud platform. They work with data storage, data pipelines, and data integration tools, often supporting more senior engineers in managing big data and analytics workloads. This role involves tasks like setting up Azure data services, transforming data, and ensuring secure and efficient data flows. Entry level engineers are typically early in their careers and may hold relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate.

What are some common challenges faced by entry level Azure Data Engineers and how can they be addressed?

Entry level Azure Data Engineers often encounter challenges such as managing complex data integration tasks, understanding the nuances of Azure’s numerous data services, and ensuring data security and compliance. To address these, it's helpful to invest time in hands-on practice with Azure tools like Data Factory and Synapse Analytics, seek mentorship within your team, and regularly review Microsoft’s documentation and best practices. Collaborating closely with more experienced engineers and participating in code reviews can also accelerate learning and help you navigate real-world scenarios more effectively.

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

To thrive as an Entry Level Azure Data Engineer, a solid understanding of data modeling, SQL, and basic programming (such as Python or Scala), along with a relevant degree in computer science or a related field, is important. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help newcomers excel in collaborative, data-driven environments. These competencies are critical for successfully designing, implementing, and maintaining scalable data solutions in modern cloud ecosystems.
What are the most commonly searched types of Azure Data Engineer jobs in Chicago, IL? The most popular types of Azure Data Engineer jobs in Chicago, IL are:
What are popular job titles related to Entry Level Azure Data Engineer jobs in Chicago, IL? For Entry Level Azure Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Azure Data Engineer jobs in Chicago, IL look for? The top searched job categories for Entry Level Azure Data Engineer jobs in Chicago, IL are:

Azure Data Engineer

Scadea

Chicago, IL

$118K - $141K/yr

Full-time

Posted 8 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