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Entry Level Microsoft Data Engineer Jobs in Chicago, IL

Pwc

Data Engineer - Senior Associate

Chicago, IL

$77K - $202K/yr

... AWS and Microsoft Azure - Excelling in data architecture development and data modeling ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Rosemont, IL

$77K - $202K/yr

... AWS and Microsoft Azure - Excelling in data architecture development and data modeling ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Rosemont, IL · On-site

$77K - $202K/yr

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

Marmon Holdings, Inc.

Data Scientist

Carol Stream, IL · On-site

Act as key SME partner for IT Data Engineering team to seamlessly hand-off proposed pipeline ... Hands-on usage of Microsoft Copilot tools (e.g., Copilot for M365, Copilot Studio, or embedded ...

Pwc

Data Engineer - Senior Associate

Chicago, IL

$77K - $202K/yr

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

Marmon

Data Scientist

Carol Stream, IL · Hybrid

Act as key SME partner for IT Data Engineering team to seamlessly hand-off proposed pipeline ... Handson usage of Microsoft Copilot tools (e.g., Copilot for M365, Copilot Studio, or embedded ...

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Chicago, IL · On-site

$118K - $141K/yr

Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure ... Utilizing your skills in engineering best practices to solve complex data problems * Collaborating ...

Pwc

AI Engineer

Chicago, IL

$55K - $187K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Pwc

AI Engineer

Rosemont, IL

$55K - $187K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Trilon Group

Entry Level Engineer

Aurora, IL · On-site

$70K - $75K/yr

Entry Level Engineer Department: Civil/Municipal Employment Type: Full Time Location: Aurora, IL ... You will work with clients to obtain data or share information. We promote a team environment, so ...

In-finite Search Solutions

Be Seen First

Controls Engineer / Entry Level

Chicago, IL · On-site

$82K - $94K/yr

Provide our clients with real-time data, and actionable information about their facilities ... Design and Implementation of Relational/Document Databases and Historians (Microsoft SQL Server ...

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All JobsMicrosoft Data Engineer JobsEntry Level Microsoft Data Engineer JobsEntry Level Microsoft Data Engineer Jobs in Chicago, IL

Entry Level Microsoft Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

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

As of Jul 31, 2026, the average yearly pay for entry level microsoft 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 does an Entry Level Microsoft Data Engineer do?

An Entry Level Microsoft Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, and Power BI. Their role typically involves collecting, transforming, and loading (ETL) data from various sources to enable data analysis and reporting. They work closely with other IT professionals to ensure data integrity, performance, and security while learning best practices in data engineering. This position is ideal for those starting their careers in data engineering and looking to develop expertise in Microsoft's data ecosystem.

What are some common challenges faced by entry-level Microsoft Data Engineers when working with large datasets?

Entry-level Microsoft Data Engineers often encounter challenges such as ensuring data integrity during extraction, transformation, and loading (ETL) processes, especially when dealing with large or complex datasets in Azure environments. Optimizing query performance and managing resource costs can also be difficult for those new to cloud-based data solutions. However, these challenges are excellent learning opportunities, as they encourage developing strong troubleshooting skills and familiarity with tools like Azure Data Factory, SQL Server, and Power BI. Support from more experienced team members and access to structured onboarding programs can help new hires quickly become proficient and confident in their daily responsibilities.

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

To thrive as an Entry Level Microsoft Data Engineer, you need foundational knowledge of SQL, data modeling, and a relevant degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and possibly certifications like Microsoft Certified: Azure Data Engineer Associate are typically expected. Strong analytical thinking, attention to detail, and effective communication help you stand out when collaborating with teams and translating data requirements. These skills are crucial for ensuring reliable data pipelines, facilitating data-driven decisions, and supporting organizational growth.

What is the difference between Entry Level Microsoft Data Engineer vs Data Analyst?

AspectEntry Level Microsoft Data EngineerData Analyst
Required CredentialsMicrosoft certifications, SQL, basic cloud knowledgeExcel, SQL, data visualization tools
Work EnvironmentData pipelines, cloud platforms, database managementData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with data infrastructure needsMarketing, retail, finance for insights and reporting

Both roles often require SQL and basic data skills, but Data Engineers focus on building data systems and pipelines, while Data Analysts interpret data and create reports. Entry Level Microsoft Data Engineers typically work more with cloud platforms and data infrastructure, whereas Data Analysts focus on data visualization and insights. The roles are complementary but differ in technical depth and focus areas.

What are the most commonly searched types of Microsoft Data Engineer jobs in Chicago, IL? The most popular types of Microsoft Data Engineer jobs in Chicago, IL are:
What are popular job titles related to Entry Level Microsoft Data Engineer jobs in Chicago, IL? For Entry Level Microsoft Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Microsoft Data Engineer jobs in Chicago, IL look for? The top searched job categories for Entry Level Microsoft Data Engineer jobs in Chicago, IL are:
Entry Level Microsoft Data Engineer jobs near you
Infographic showing various Entry Level Microsoft Data Engineer job openings in Chicago, IL as of July 2026, with employment types broken down into 84% Full Time, 8% Temporary, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Azure Data Engineer Microsoft Fabric & Power BI

McKinsol Consulting Inc

Warrenville, IL • On-site

$118K - $142K/yr

Other

Posted 2 days ago

New

Job description

Job Title: Data Engineer

Location: Warrenville, IL (Hybrid)

1st round: Assessment test on Python, SQL and Fabric

2nd round: Client interview

This is a standard enterprise-grade Data & Analytics Engineer role with a heavy focus on the Microsoft Cloud Stack.

The ideal candidate manages the entire data lifecycle from raw ingestion to end-user semantic modeling in Power BI.

Core Technical Pillars:

Medallion Architecture & Storage: Architecting Bronze (raw), Silver (cleansed/conformed), and Gold (aggregated star schema) layers using Delta Lake on Microsoft Fabric (OneLake) or Azure Databricks (ADLS Gen2).

Pipeline Development: Building ETL/ELT pipelines with PySpark, SQL, and Microsoft Fabric Data Factory / Notebooks.

Hybrid BI Capabilities: Developing enterprise-grade Power BI semantic models (leveraging Direct Lake mode) and writing complex DAX measures.

DevOps & Governance: Implementing CI/CD pipelines for data workloads and Power BI assets, setting engineering standards, and writing technical documentation.

Key Skills Matrix

Focus Area

Core Technologies & Concepts

Languages

Python, PySpark, SQL (T-SQL), DAX

Compute & Storage

Microsoft Fabric (OneLake, Data Factory, Lakehouse), Azure Databricks, ADLS Gen2, Delta Lake

Data Modeling

Kimball Dimensional Modeling, Star Schema, Fact Tables, Dimension Tables, Medallion Architecture

BI & Analytics

Power BI, Semantic Models (Direct Lake, Import, DirectQuery), DAX Measures

DevOps & Practices

Azure DevOps, GitHub Actions, Fabric Git Integration, CI/CD Pipelines

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