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Data Engineering Jobs in Bolingbrook, IL (NOW HIRING)

The Aspen Group

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

The Aspen Group

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

JLL

Senior Manager, Data Engineering

Chicago, IL

The ideal candidate blends hands-on data engineering credibility with proven experience managing engineers and partnering across product, business, and enterprise data functions. What you'll get to ...

Reply

Manager, Data Engineering

Chicago, IL

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Geneva Trading

Data Engineering Manager

Chicago, IL · On-site

The Role We are looking for a Data Engineering Manager to own our market data platforms and analytical data systems. This is not a pure people-management role. You will manage a small team, but you ...

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Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Rise

Director, Analytics, Data Engineering

Chicago, IL

$122K - $170K/yr

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 ...

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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 Jul 14, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

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 engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

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 typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $163,178 per year, or $78.5 per hour.
Manager, Data Engineering

Manager, Data Engineering

The Aspen Group

Chicago, IL • On-site

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united with a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.
As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as a Manager, Data Engineering.
Job Description
The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people management, architecture, platform engineering, and operations.
The right person can lead a team of Data Engineers and still do the work themselves - technical design, code reviews, incident management, platform modernization, and engineering standards. They'll also drive AI-assisted development, automation, and cloud cost optimization to keep the team productive and the platform scalable.
Key Responsibilities
Leadership & Delivery
  • Lead, mentor, and grow a team of Data Engineers across multiple domains.
  • Run sprint planning, backlog prioritization, and delivery.
  • Balance strategic work, operational support, and technical debt.
  • Partner with business, analytics, and technology leaders to align priorities.

Data Platform & Engineering
  • Own the architecture and delivery of scalable data pipelines, semantic models, and data products.
  • Set standards for data modeling, integration, and platform architecture across dbt, Airflow/Cloud Composer, BigQuery, Terraform, and CI/CD.
  • Lead design reviews, evaluate new technologies, and drive platform modernization.

AI & Engineering Excellence
  • Lead AI-assisted development (Claude AI/Gemini Enterprise) across code reviews, documentation, testing, and automation.
  • Set standards and governance for responsible use of AI-generated code.

Reliability, Operations & Cloud
  • Own data platform reliability, monitoring, incident response, and root cause analysis.
  • Establish SLAs, operational metrics, and on-call processes.
  • Ensure compliance with data governance, security, privacy, and access management.
  • Optimize performance, scalability, and cost across GCP, including BigQuery consumption, storage, and slot utilization.

Qualifications
Required Experience
  • Bachelor's degree in computer science, Engineering, Information Systems, or related field. GCP Professional Data Engineer Certification a plus.
  • 7+ years of Data Engineering experience with modern cloud data platforms.
  • 3+ years of leadership experience managing Data Engineering teams.

Technical Skills
  • Strong expertise in SQL, Python, dbt, and Airflow/Cloud Composer.
  • Hands-on experience with Google Cloud Platform, including BigQuery, GCS, Pub/Sub, Dataflow, Cloud Functions, and Vertex AI.
  • Experience with Infrastructure as Code (Terraform) and CI/CD automation.
  • Strong understanding of data warehousing, semantic modeling, data quality, and governance across batch, streaming, and event-driven architectures.

Leadership Competencies
  • Strong communication and stakeholder management skills.
  • Ability to translate business requirements into scalable technical solutions.
  • Experience leading cross-functional initiatives and influencing technical direction.
  • Track record of building strong teams and a solid engineering culture.

*This role is onsite 4 days/week in our Chicago office (Fulton Market District)
Annual Salary Range: $160,000-$190,000/year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.
If you are an applicant residing in California, please view our privacy policy here: https://careers.aspendental.com/us/en/tag-privacy-policy-for-california-employees

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