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Data Engineering Jobs in Bolingbrook, IL (NOW HIRING)

Coates Group

Tech Lead, Data Engineering

Chicago, IL · On-site

$145K - $165K/yr

Provide hands-on technical leadership, mentoring, and architectural direction for a growing team of data engineers and cross-functional stakeholders Capabilities * Ability to design scalable, secure ...

The Joint Commission

Data Engineer

Oak Brook, IL · On-site

$107 - $143/hr

Responsibilities Data Engineering & Pipeline Development * Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and * Microsoft Fabric. * Build and ...

New

Joint Commission

Data Engineer

Villa Park, IL

$107K - $143K/yr

Data Engineering & Pipeline Development · Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. · Build and optimize data ...

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

Responsibilities Data Engineering & Pipeline Development • Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. • Build and ...

Rise

Director, Analytics, Data Engineering

Chicago, IL · On-site

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise data architecture strategy that powers the Quad/Rise Data Stack. This role provides architectural ...

Dlapiper

Data Engineer

Chicago, IL

$118K - $141K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

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Showing results 41-60

All JobsData Engineering JobsData Engineering Jobs in Bolingbrook, IL

Data Engineering information

See Bolingbrook, IL salary details

$45.5K

$163.2K

$240.8K

How much do data engineering jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineering in Bolingbrook, IL is $163,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,000.00 and $168,100.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Bolingbrook, IL?

The most popular types of Data Engineering jobs in Bolingbrook, IL are:

What are popular job titles related to Data Engineering jobs in Bolingbrook, IL?

For Data Engineering jobs in Bolingbrook, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Bolingbrook, IL look for?

The top searched job categories for Data Engineering jobs in Bolingbrook, IL are:

What cities near Bolingbrook, IL are hiring for Data Engineering jobs?

Cities near Bolingbrook, IL with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Bolingbrook, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $163,178 per year, or $78.5 per hour.

Director of Data Engineering & Data Science - IAA

The Job Sauce

Chicago, IL • On-site

Full-time

Re-posted 4 days ago

Key responsibilities

  • Lead the Data Engineering and Data Science Engineering function, setting technical vision, delivery strategy, and operating rhythm

  • Build and evolve scalable data platforms, BI architecture, and machine learning capabilities using the Azure data and analytics stack

  • Partner with business and functional leaders to solve high-value problems across Operations, Sales, Marketing, Product, and other key areas

Job description

About the Role
IAA is seeking a Director of Data Engineering & Data Science to lead a highly visible, business-critical function at the intersection of data, analytics, machine learning, and business transformation. This leader will define and drive the vision, architecture, and execution for IAA's data engineering and data science capabilities, ensuring the organization can scale advanced analytics, BI, forecasting, machine learning, and AI solutions that directly support business growth and operational excellence.
This role requires a strong technical leader and business problem solver who can partner across a broad set of stakeholders including Operations, Business, Sales, Marketing, Product, and Engineering. The ideal candidate brings deep expertise in the Azure BI and data ecosystem, strong people leadership, and the ability to translate complex business needs into practical, scalable data and AI solutions.
This position reports directly to the VP of Engineering and is a critical, high-visibility leadership role within the organization.
What You'll Do
  • Lead the Data Engineering and Data Science Engineering function for IAA, setting technical vision, delivery strategy, and operating rhythm
  • Build and evolve scalable data platforms, BI architecture, and ML-enablement capabilities using the Azure data and analytics stack
  • Drive strategy and execution across Microsoft Fabric, Synapse, Power BI, Azure BI technologies, and modern cloud data platforms
  • Partner with business and functional leaders to solve high-value problems across Operations, Sales, Marketing, Product, and other key areas
  • Guide the design and implementation of robust pipelines, semantic models, dashboards, self-service analytics, forecasting solutions, and machine learning systems
  • Help shape the roadmap for advanced analytics, predictive modeling, experimentation, and AI-driven insights
  • Mentor, coach, and grow data engineering and data science talent while raising the technical bar across the team
  • Establish strong engineering practices across architecture, delivery quality, scalability, governance, and operational excellence
  • Collaborate closely with engineering leaders and cross-functional teams to ensure data and AI solutions are aligned with platform, product, and business priorities
  • Act as a senior thought partner to leadership on data strategy, technical tradeoffs, and investment priorities

What We're Looking For
  • Proven experience leading Data Engineering, BI, Analytics, and/or Data Science Engineering teams at the Director level or equivalent
  • Deep expertise in the Azure BI / data technology stack, including:
    • Microsoft Fabric
    • Azure Synapse Analytics
    • Power BI
    • Broader Azure data and analytics services
  • Strong understanding of data engineering architecture, modern analytics platforms, and scalable data pipelines
  • Strong foundation in data science, machine learning, and model operationalization
  • Demonstrated ability to solve complex business problems through data, analytics, and technical leadership
  • Strong mentoring, coaching, and people leadership skills with experience growing high-performing technical teams
  • Excellent communication and stakeholder management skills; able to work effectively with a wide range of technical and non-technical partners such as Ops, Business, Sales, Marketing, Product, Engineering
  • Ability to operate successfully in a fast-paced, high-visibility environment with multiple priorities and stakeholders
  • Strong executive presence and the ability to connect technical decisions to business outcomes

Preferred Experience
  • Experience supporting enterprise use cases across operations, commercial functions, and product-driven organizations
  • Experience driving both BI modernization and data science / ML adoption within the same organization
  • Familiarity with cloud-native engineering practices, production-grade data platforms, and secure, scalable AI/ML environments
  • Experience leading organizations that combine data engineering, analytics engineering, BI, and data scienceunder one leadership model

IAA Data Science / Engineering Technology Environment
We are looking for a leader who can guide and expand a modern data and AI ecosystem. Relevant technologies include Azure BI capabilities as well as IAA's broader data science and ML toolset, including technologies such as Python, SQL, Azure Event Hub, Apache Airflow, Synapse, Fabric, Docker, Terraform, DBT, PyTorch, TensorFlow, Vertex AI, Gemini, GPT, Prophet, TBATS, SARIMAX, scikit-learn, CI/CD pipelines, and Azure cloud platform.
Why This Role Matters
This is a critical leadership role for IAA. The Director will help shape how the company uses data, analytics, BI, and AI to make better decisions, improve business performance, unlock operational efficiencies, and create scalable competitive advantage. This leader will influence both technical direction and business outcomes across the organization.

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