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Data Engineering Jobs in Bolingbrook, IL (NOW HIRING)

The Hartford

Data Engineer

Chicago, IL

$118K - $141K/yr

Support machine learning and AI solutions through data engineering, feature engineering, and operationalization activities. * Build reusable frameworks, components, and automation capabilities to ...

K1X

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

  • Medical

  • Retirement

  • PTO

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML ...

New

Compunnel

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Required Qualifications • Strong hands-on experience with Azure and Azure Databricks. • Experience with data engineering, data ingestion, ETL/ELT, and data modeling. • Experience working with ...

West Monroe

Senior Architect, Data Engineering

Chicago, IL · On-site

$215K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong data engineering experience with the following core competencies: * Experience with Databricks, Snowflake, and/or Fabric * Experience working with relational databases (Microsoft SQL Server ...

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a senior member of the data engineering team, you will be responsible for developing scalable data validation frameworks, ensuring data integrity across pipelines and platforms, implementing ...

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a senior member of the data engineering team, you will be responsible for developing scalable data validation frameworks, ensuring data integrity across pipelines and platforms, implementing ...

Co-Sourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline Development * Design, build, and optimize scalable batch and real-time (streaming) data pipelines using GCPnative services. * Develop and maintain ...

1872 Consulting

Azure Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Coordinate and communicate with members of the IT team regularly to ensure smooth IT operations. * Stay up to date with the latest trends and best practices in data engineering and related ...

Pwc

Forward Deployed Data Engineering - Director

Chicago, IL

$150K - $438K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data Engineering Management Level Director & Summary The Opportunity As a Forward Deployed Data Engineering - Director, you will lead the charge in ...

1872 Consulting

Azure Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Coordinate and communicate with members of the IT team regularly to ensure smooth IT operations. * Stay up to date with the latest trends and best practices in data engineering and related ...

The Hartford

GCP Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Design and build enterprise-scale data engineering solutions that power metadata-driven and intelligent automation capabilities. * Work hands-on with modern cloud technologies including Google Cloud ...

Pioneer IT Systems LLC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

At least 10 years in Data Engineering, minimum 4 years with dbt Industry: Healthcare Company We are seeking an experienced dbt Engineer / Data Engineer to support the transitioning, development and ...

New

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

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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 Aug 12, 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 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 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.

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 are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

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.

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, 81% Full Time, 11% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $163,178 per year, or $78.5 per hour.

Lead Data Engineer - Physical AI Platform, Data Engineering

Caterpillar

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 478 frontline employees who took The Breakroom Quiz

267th of 487 rated machine equipment manufacturers

Job description

Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Help Build the Future of Caterpillar -
At Caterpillar, technology always has a purpose, which is to solve our customers' toughest challenges. Through Cat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real world-on real jobsites, at global scale.
You'll build and deploy against one of the most unique data foundations-over 1.6 million connected assets generating real-world data daily. These data and platform capabilities are enabling the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.
Be Part of What's Next in Autonomous Construction Sites
Construction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in physical AI, simulation, sensing, and edge computing are turning things that once felt impossible-intelligent machines operating in dynamic jobsites-into reality.
Our connected ecosystem brings together massive volumes of high-quality data to create a foundation where engineers like you can build and deploy against.
If this work motivates you, we invite you to join our team. In these roles, you'll work at the intersection of the physical and digital worlds. You'll help design and deliver intelligent systems that enable machines to perceive their environment, make informed decisions, and support safer, more productive operations.
Apply today to build the new era of construction autonomy at Caterpillar.
Job Summary
As a Lead Data Engineer, you will design, build, and maintain scalable data pipelines, microservices, and cloud-based data platforms that deliver reliable, high-quality data for business and engineering teams. Working in an agile environment, you will help drive data architecture, performance, reliability, and continuous improvement across modern data solutions.
What You Will Do:
  • Actively collaborate with Principal Software Engineers and Data Architects to define solution architecture
  • Lead the solution design and optimization of scalable data pipelines and microservices in Python, enabling both real-time and batch data processing across enterprise platforms
  • Drive the development of cloud-native data ingestion and streaming solutions leveraging AWS services including Kinesis, S3, DynamoDB, EventBridge, and related technologies
  • Own the design, implementation, and operational excellence of data integration frameworks and source data pipelines supporting CI Autonomy initiatives
  • Partner with business, product, and engineering stakeholders to translate complex requirements into scalable data architectures, workflows, mappings, and system designs
  • Establish and enforce automated testing, data quality controls, and validation frameworks to ensure integrity, reliability, and compliance across distributed data ecosystems
  • Lead operational monitoring, performance tuning, and root-cause analysis of production data platforms using observability tools such as CloudWatch to maintain high availability and service reliability

What You Will Have:
  • Decision Making and Critical Thinking: Ability to lead the analysis and resolution of complex issues within distributed data platforms, designing scalable, and resilient solutions
  • Effective Communications: Ability to communicate across teams by sharing feedback constructively, listening to others, and creating documentation that makes data systems and processes easy to understand and support
  • Software Development: Experience in leading the design and development of backend systems and data pipelines using Python, Java, and modern frameworks, providing technical directions and ensuring the delivery of reliable, scalable solutions
  • Software Development Life Cycle: Experience leading the delivery of data engineering solutions in an Agile environment by guiding work through the full development lifecycle, translating requirements into technical solutions, and ensuring projects are delivered with quality, reliability, and business value
  • Software Integration Engineering: Capability to lead the design and integration of APIs, data pipelines, streaming platforms, and databases to enable reliable data exchange across enterprise systems and partner platforms
  • Software Product Design/Architecture: Expertise leading the design of scalable, event-driven data systems and architectures, guiding technical decisions and ensuring solutions are reliable, maintainable, and aligned with business needs.
  • Software Product Technical Knowledge: Ability to apply strong knowledge of AWS services and data engineering tools to define requirements, support testing and deployment activities, troubleshoot issues, and ensure data solutions are configured, implemented, and operated effectively across environments
  • Software Product Testing: Ability to define and implement testing strategies, including functional, performance, and data quality testing, to ensure reliable, scalable, and high-performing data solutions across the development lifecycle.

Top Candidates Will Have:
  • Bachelor's degree in Computer Science, Computer Engineering, or related field
  • 8+ years of experience in data engineering or related disciplines with increasing responsibility
  • Extensive experience on modern, large scale, complex Caterpillar data platforms such as Helios Data Platform
  • Strong foundation developing and deploying Python solutions to a production environment
  • Experience leading teams to build high-throughput, scalable data pipelines
  • Strong hands-on experience with AWS data services (Kinesis, S3, DynamoDB, EventBridge, etc.) at scale
  • Strong in SQL, including data quality and validation practices
  • Experience in deploying software using CI/CD tools such as Azure DevOps, Jira, Jenkins, etc.
  • Experience developing microservices that support real-time data ingestion
  • Experience developing software applications using relational and noSQL databases
  • Ability to ensure data integrity across distributed and streaming systems
  • Experience with monitoring, testing, and automation in large-scale data environments

Additional Details:
  • This position requires the candidate to work full-time in the Chicago, IL office.
  • Domestic relocation assistance is available for this position.
  • LI#

Summary Pay Range:
$128,470.00 - $208,770.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa sponsorship is available for eligible applicants.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

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