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Manager Data Engineering Jobs in Chicago, IL (NOW HIRING)

Pwc

Forward Deployed Data Engineering - Manager

Chicago, IL

$99K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data Engineering Management Level Manager & Summary The Opportunity As a Forward Deployed Data Engineering - Manager, you will play a pivotal role in ...

Pwc

Data Engineer - Manager

Rosemont, IL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Pwc

Tax Innovation - Data Engineer - Manager

Chicago, IL · On-site

$99K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data Engineering Management Level Manager & Summary The Opportunity As a Tax Innovation - Data Engineer - Manager, you will play a pivotal role in ...

New

Pwc

Data Engineer - Manager

Chicago, IL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Sralab

Data Engineers

Chicago, IL

$118K - $141K/yr

... Data management, Data engineering, Data modeling. Job Requirements * *Masters degree in Information Systems, Computer Science, Data Science or related field plus 2 years of experience in data ...

Shirley Ryan AbilityLab

Data Engineers

Chicago, IL · On-site

$118K - $141K/yr

... Data management, Data engineering, Data modeling. Job Requirements * *Masters degree in Information Systems, Computer Science, Data Science or related field plus 2 years of experience in data ...

Aurelius

Senior Manager, Data & BI Practice

Chicago, IL

$69.25 - $92.75/hr

Typically7+ years of relevant experience in data engineering, business intelligence, analytics, or ... Solid understanding of data management practices, including data governance, data quality, and ...

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team. Our business is complex; we're working on data driven systems and applications and we're looking for ...

Posted today

Rewards Network

Data Engineering Lead (Hybrid)

Chicago, IL · On-site +1

$105K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Initially, the Data Engineering Lead will also manage the Data Science team, including acting as a key resource to the team, prioritizing work, and clearing roadblocks. This is a hybrid position that ...

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team. Our business is complex; we're working on data driven systems and applications and we're looking for ...

Posted today

Rewards Network

Data Engineering Lead (Hybrid)

Chicago, IL · Hybrid

$105K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Initially, the Data Engineering Lead will also manage the Data Science team, including acting as a key resource to the team, prioritizing work, and clearing roadblocks. This is a hybrid position that ...

Rewards Network

Data Engineering Lead (Hybrid)

Chicago, IL · Hybrid

$105K - $139K/yr

Initially, the Data Engineering Lead will also manage the Data Science team, including acting as a key resource to the team, prioritizing work, and clearing roadblocks. This is a hybrid position that ...

Independence Pet Group

Senior Data Product Manager

Chicago, IL · On-site

$130K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Product Manager Reports To: Head of Data Strategy & Planning Comparable Titles: Senior Data ... Partner with Data Engineering, MDM, Metadata, and Governance teams to ensure data products meet ...

Embrace Pet Insurance

Senior Data Product Manager

Chicago, IL · On-site

$130K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with Data Engineering, MDM, Metadata, and Governance teams to ensure data products meet ... Demonstrated experience defining, managing, or owning data-centric products or platforms from ...

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Showing results 41-60

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Chicago, IL

Manager Data Engineering information

See Chicago, IL salary details

$31.9K

$100.1K

$177.2K

How much do manager data engineering jobs pay per year?

As of Aug 14, 2026, the average yearly pay for manager data engineering in Chicago, IL is $100,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $129,300.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

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

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

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

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

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

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

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

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

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Chicago, IL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $100,073 per year, or $48.1 per hour.

Director of Data Engineering

Jet Support Services, Inc.

Chicago, IL

Full-time

Re-posted 19 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.