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Data Engineering Jobs in Bolingbrook, IL (NOW HIRING)

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 ...

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 ...

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 ...

Manager, Data Engineering

Chicago, IL · On-site

$160 - $190/hr

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 ...

New

Data Engineering Lead (Hybrid)

Chicago, IL · On-site +1

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering foundation at Rewards Network while providing technical leadership across both data engineering and data ...

Data Engineering Lead (Hybrid)

Chicago, IL · Hybrid

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering foundation at Rewards Network while providing technical leadership across both data engineering and data ...

Data Engineering Lead (Hybrid)

Chicago, IL · Hybrid

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering foundation at Rewards Network while providing technical leadership across both data engineering and data ...

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 ...

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 ...

Tech Lead, Data Engineering

Chicago, IL · On-site

$145K - $165K/yr

... of data engineers and cross-functional stakeholders Capabilities • Ability to design scalable, secure, and cost-efficient data architectures that support enterprise analytics and future AI ...

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 ...

Tech Lead, Data Engineering

Chicago, IL · On-site

$145K - $165K/yr

... data engineers and cross-functional stakeholders Capabilities Ability to design scalable, secure, and cost-efficient data architectures that support enterprise analytics and future AI initiatives ...

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 ...

Showing results 21-40

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 3, 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:

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

Jet Support Services, Inc.

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


Job description

About JSSI
Founded in 1989 and headquartered in Chicago, Jet Support Services, Inc. (JSSI) is the largest independent provider of hourly cost maintenance programs for business aviation. JSSI delivers comprehensive coverage for engines, airframes, and auxiliary power units (APUs) across more than 300 different aircraft makes and models, helping owners and operators stabilize maintenance budgets, maximize aircraft availability, and protect asset value throughout the lifecycle of ownership. JSSI has built a portfolio of complementary business lines designed to simplify the economic and technical complexity of business aviation; these include Maintenance teams, Traxxall maintenance tracking software, Parts & Engines, Conklin aircraft cost and performance data, and Aviation Capital asset-based financing solutions. Together, these offerings support owners, operators, and maintenance providers with integrated tools spanning ownership and maintenance planning, execution, and financial management. With more than 6,500 aircraft supported through programs and software platforms, JSSI leverages its unique independence, unmatched scale, and data-driven insight to deliver customized solutions and support models aligned to the interests of each client - regardless of aircraft platform. JSSI is backed by leading institutional investors GTCR, Genstar Capital, and Blackstone. Learn more at jetsupport.com.
The Opportunity
We have built a data platform on Microsoft Fabric and Azure. Our analytics team is consuming data, and our AI roadmap depends on clean, structured, trustworthy data to deliver. What we are missing is the technical owner who makes the data actually work.
This is not a hands-off leadership role. The Director of Data Engineering will be a player-coach: leading and growing a team of 2-5 engineers while remaining a hands-on contributor who can architect solutions, write pipelines, and set the technical bar. You will own the Fabric platform end-to-end, connect our source systems into a reliable data foundation, and serve as the linchpin between raw data and every downstream initiative that depends on it.
Why This Role Matters
Every AI project on our roadmap requires clean, well-structured, trustworthy data. The Fabric platform is in place. This role makes it useful. Without strong data engineering leadership, our analytics team is constrained by data quality issues they cannot fix - and our AI initiatives stall before they start.
Duties and Responsibilities:
Own the Microsoft Fabric Platform
  • Serve as the technical owner of JSSI's Microsoft Fabric environment - architecture, governance, performance, and access control

  • Drive the roadmap for the platform including CI/CD enablement, Git integration, and centralized ingestion workspace design

  • Manage Fabric capacity, right-sizing, backup, and disaster recovery

Build and Maintain Data Pipelines
  • Design, build, and operate reliable data pipelines that connect source systems into clean, usable data

  • Establish monitoring, alerting, and SLA standards for pipeline reliability

Define the Data Foundation
  • Establish a single source of truth across all systems and acquisitions, ensuring every team is working from the same numbers

  • Build and maintain enterprise semantic models that serve analytics, reporting, and AI use cases

  • Partner with the data governance function to implement Microsoft Purview for cataloging, classification, and data privacy standards

Enable Analytics and AI
  • Make the analytics team faster by solving data quality and availability issues at the source

  • Build the data foundation that AI initiatives depend on, enabling the organization to move from insight to action

  • Develop and support AI data agents to expand analytics delivery across the organization

  • Responsible for supporting ML initiatives (not just AI agents)

Lead and Grow the Team
  • Manage and mentor a team of 2-5 data engineers, setting technical standards and fostering a high-performance culture

  • Partner cross-functionally with analytics, product, and business stakeholders to prioritize and deliver

  • Represent the data engineering function in leadership discussions and help shape JSSI's broader data strategy

Desired Credentials:
Experience
  • 10+ years of experience in data engineering, with a track record of building and scaling data platforms in production environments

  • 3+ years in a leadership role managing engineers, with demonstrated ability to develop talent and build team culture

  • Experience as a player-coach - comfortable rolling up your sleeves while also setting direction for the team

Technical Skills
  • Deep expertise with Microsoft Fabric, including Lakehouse and Warehouse architecture, pipelines, and OneLake

  • Strong hands-on experience with Azure cloud infrastructure and Azure Data services

  • Proficiency in SQL and Python for data engineering and pipeline development

  • Experience designing and implementing ETL pipelines across complex, multi-source environments

  • Familiarity with CI/CD practices and Git-based deployment workflows for data platforms

  • Experience with data governance platforms (Microsoft Purview preferred) and semantic layer design

  • Working knowledge of Power BI and enterprise reporting architectures

  • Familiarity with AI/ML data patterns and building data products that support machine learning use cases

Leadership and Collaboration
  • Strong communicator who can translate technical complexity into clear language for business stakeholders

  • Collaborative partner who works well across analytics, product, and business teams

  • High ownership mindset - you treat data as a product and hold yourself accountable for its quality and reliability

At JSSI, we are committed to rewarding our team members with competitive and comprehensive compensation packages that reflect their contributions and talent.
For this role, the annual base pay generally ranges from $180,000 to $220,000, with the final offer determined by variable factors including but not limited to market location, job-specific knowledge, skills, education, and experience. In addition, your total rewards package may include an annual discretionary bonus plan, incentive or sales bonus plan, or other form of additional compensation, based on your role.
Additionally, for full-time employees based in the USA, Canada, or the Philippines, we are proud to offer a robust suite of benefits. This ranges from insurance offerings such as medical, dental, vision, retirement savings programs, among others, starting day one of employment. For a full overview of our offerings, visit the JSSI Benefits Page on our company website.
JSSI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristic protected by law.
JSSI does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team.