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Azure Bi Data Engineer Jobs in Chicago, IL (NOW HIRING)

The Job Sauce

IAA - Principal Data Engineer

Chicago, IL · On-site

$171K - $256K/yr

Azure Synapse Analytics * Power BI and semantic modeling * Broader Azure data and analytics services * Strong command of data engineering architecture, modern analytics platforms, dimensional and ...

RB Global Inc.

Principal Software Engineer

Westchester, IL · On-site

$133K - $179K/yr

Azure Synapse Analytics * Power BI and semantic modeling * Broader Azure data and analytics ... Strong command of data engineering architecture, modern analytics platforms, dimensional and ...

RB Global Inc.

Senior Staff Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

The Senior Staff Data Engineer owns the design and delivery of major systems and data products ... Deep expertise across the Azure BI / data technology stack, including: * Microsoft Fabric * Azure ...

Ritchie Bros.

Senior Staff Software Engineer

Westchester, IL · On-site

$121K - $160K/yr

The Senior Staff Data Engineer owns the design and delivery of major systems and data products ... Azure Synapse Analytics * Power BI and semantic modeling * Broader Azure data and analytics ...

Ritchie Bros.

Principal Software Engineer

Westchester, IL · On-site

$133K - $179K/yr

Azure Synapse Analytics * Power BI and semantic modeling * Broader Azure data and analytics ... Strong command of data engineering architecture, modern analytics platforms, dimensional and ...

RB Global Inc.

Senior Staff Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

The Senior Staff Data Engineer owns the design and delivery of major systems and data products ... Azure Synapse Analytics * Power BI and semantic modeling * Broader Azure data and analytics ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Data Analyst Associate, Power BI Data Analyst, or Azure Data Engineer. * Experience with Python or other scripting for data manipulation is a bonus. What We Offer * Competitive salary and benefits ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Data Analyst Associate, Power BI Data Analyst, or Azure Data Engineer. * Experience with Python or other scripting for data manipulation is a bonus. What We Offer * Competitive salary and benefits ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Partner with analytics and business teams to deliver trusted datasets and dashboards (Power BI or ... Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Partner with analytics and business teams to deliver trusted datasets and dashboards (Power BI or ... Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP ...

The Joint Commission

Data Engineer

Oak Brook, IL · On-site

$143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into ... Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry ...

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into ... pipelines using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. · Build and ...

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

The engineer collaborates with analytics, BI, and business teams to transform requirements into ... Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. • Build and optimize data ...

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All JobsAzure Bi Data Engineer JobsAzure Bi Data Engineer Jobs in Chicago, IL

Azure Bi Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

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

As of Sep 12, 2026, the average yearly pay for azure bi 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 Azure BI Data Engineer?

An Azure BI Data Engineer is a technology professional who designs, builds, and manages business intelligence (BI) solutions on Microsoft Azure. They are responsible for integrating, transforming, and consolidating data from various sources using Azure services like Azure Data Factory, Azure Synapse Analytics, and Power BI. Their work enables organizations to analyze large volumes of data efficiently and make data-driven decisions. Azure BI Data Engineers also ensure the security, scalability, and performance of data solutions in the cloud. They often collaborate with data scientists, analysts, and business stakeholders to deliver actionable insights.

What are the key skills and qualifications needed to thrive as an Azure BI Data Engineer?

To thrive as an Azure BI Data Engineer, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of cloud data platforms, usually backed by a degree in computer science or a related field. Proficiency with Microsoft Azure services (such as Azure Data Factory, Synapse Analytics, and Power BI) and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are commonly required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for translating business needs into technical solutions. These skills and qualifications are essential for efficiently designing, implementing, and managing scalable data solutions that drive business insights.

What are some common challenges Azure BI Data Engineers face when integrating data from multiple sources?

Azure BI Data Engineers often encounter challenges such as varying data formats, inconsistent data quality, and differing update frequencies when integrating data from multiple sources. Addressing these requires designing robust ETL processes in Azure Data Factory, ensuring data validation, and setting up effective error handling. Collaboration with data owners and business analysts is key to understanding source data and resolving discrepancies early in the pipeline. Additionally, managing data security and compliance across sources is crucial in maintaining organizational standards.

What is the difference between Azure Bi Data Engineer vs Power BI Developer?

AspectAzure Bi Data EngineerPower BI Developer
Primary FocusDesigning and implementing data pipelines, ETL processes, and data architecture on AzureCreating interactive reports and dashboards using Power BI
Required SkillsAzure Data Factory, SQL, Data Lake, Data Bricks, Azure SynapsePower BI, DAX, Power Query, data visualization
CertificationsAzure Data Engineer Associate, Azure FundamentalsMicrosoft Certified: Data Analyst Associate
Work EnvironmentData engineering teams, cloud infrastructure, data warehousesBusiness intelligence teams, data visualization projects

Azure Bi Data Engineers focus on building and managing data pipelines and infrastructure on Azure, while Power BI Developers specialize in creating visual reports and dashboards. Both roles often collaborate but serve different parts of the data ecosystem, with the former handling data architecture and the latter focusing on data presentation.

Infographic showing various Azure Bi Data Engineer job openings in Chicago, IL as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

IAA - Principal Data Engineer

Chicago, IL • On-site

The Job Sauce
Recruiting and Staffing Services • 11 - 50 employees
Learn more about The Job Sauceexternal

$171K - $256K/yr

Full-time

Posted 14 days ago

Key responsibilities

  • Set and evolve the technical architecture for IAA's data platform, including ingestion, transformation, storage, semantic modeling, and data delivery.

  • Design and build complex, high-impact data pipelines, frameworks, and reusable components.

  • Lead the design and implementation of robust pipelines, semantic models, and data products to support analytics, forecasting, and machine learning systems.

Job description

About the Role
IAA is seeking a Principal Data Engineer to serve as the most senior individual contributor and technical authority across our data engineering function. This is a hands-on, deeply technical leadership role for an engineer who sets architectural direction, raises the engineering bar, and personally builds the most complex and business-critical components of IAA's data platform.
Where the Director leads through people and strategy, the Principal Data Engineer leads through technical depth, influence, and execution. This person defines patterns and standards, solves the hardest data engineering problems, and acts as a force multiplier for engineers across the organization. They ensure IAA's data platform is scalable, reliable, secure, and ready to power advanced analytics, BI, forecasting, and the data needs of AI solutions.
This is a high-visibility role that partners closely with engineering leadership, data scientists, BI developers, platform/infrastructure teams, and business stakeholders across Operations, Sales, Marketing, and Product.
What You'll Do
  • Set and evolve the technical architecture for IAA's data platform - ingestion, transformation, storage, semantic modeling, and data delivery - on the Azure data and analytics stack.
  • Personally design and build the most complex, high-impact data pipelines, frameworks, and reusable components that other engineers build upon.
  • Define engineering standards and patterns across architecture, code quality, performance, scalability, observability, and governance - and drive their adoption through example and mentorship.
  • Lead the design and implementation of robust pipelines, semantic models, and data products that power dashboards, self-service analytics, forecasting, and downstream machine learning systems.
  • Build the production-grade data pipelines and feature/data infrastructure that data scientists rely on to train, serve, and operationalize models.
  • Diagnose and resolve the toughest performance, reliability, and scalability challenges across BI and data workloads (e.g., Power BI, Synapse, Fabric).
  • Drive technical strategy and execution across Microsoft Fabric, Synapse, Power BI, and broader Azure BI technologies, evaluating new tools and making build/buy recommendations.
  • Mentor and grow data engineers and analytics engineers, conducting design reviews and elevating the technical capability of the team.
  • Act as a senior technical thought partner to engineering and business leadership on data architecture, technical tradeoffs, and platform investment priorities.
  • Translate complex business problems into practical, scalable, and well-architected data solutions.
What We're Looking For
  • Extensive hands-on experience as a senior or principal-level data engineer, with a track record of designing and building production data platforms at scale.
  • Deep expertise across the Azure BI / data technology stack, including:
    • Microsoft Fabric
    • Azure Synapse Analytics
    • Power BI and semantic modeling
    • Broader Azure data and analytics services
  • Strong command of data engineering architecture, modern analytics platforms, dimensional and semantic modeling, and scalable, fault-tolerant pipelines.
  • Expert-level proficiency in Python and SQL, with strong software engineering fundamentals (testing, version control, CI/CD, modular design).
  • Working understanding of how data scientists consume data, enough to build the pipelines and feature/data infrastructure that support model training and serving.
  • Demonstrated ability to solve ambiguous, complex business problems through robust technical design and pragmatic execution.
  • Strong mentoring and influence skills - able to elevate engineering practices and lead technically without formal authority.
  • Excellent communication skills; able to explain complex technical concepts and tradeoffs to both technical and non-technical partners across Ops, Business, Sales, Marketing, Product, and Engineering.
  • Ability to thrive in a fast-paced, high-visibility environment with multiple priorities and stakeholders.
Preferred Experience
  • 12+ years experience building data platforms supporting enterprise use cases across operations, commercial functions, and product-driven organizations.
  • Experience spanning both BI modernization and data platform enablement for analytics and ML within the same platform.
  • Familiarity with cloud-native engineering practices, infrastructure-as-code, and secure, scalable data environments.
  • Experience defining platform-wide standards and reference architectures adopted across multiple teams.
  • Experience building data pipelines that support RAG, LLM, or modern AI workloads on enterprise data.

Why This Role Matters
The Principal Data Engineer is the technical anchor of IAA's data and AI capability. This person shapes how the company builds and scales its data platform - enabling better decisions, improved business performance, operational efficiencies, and a durable competitive advantage. Through architecture, hands-on engineering, and influence, this leader directly impacts both technical direction and business outcomes across the organization.
The Base Compensation for this role is $171,290 - $256,990.
This role is hybrid in Chicago with an onsite expectation of 2 days per week.

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