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Manager Data Engineering Jobs in Chicago, 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 ...

The Aspen Group

Manager, Data Engineering

Chicago, IL

$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 ...

Prodigious Worldwide

Manager, Data Engineering

Chicago, IL · On-site

$88K - $127K/yr

Manager, Data Engineering PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where ...

Digitas

Manager, Data Engineering

Chicago, IL · On-site

$88K - $127K/yr

Data Manager of Data Engineering PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction ...

Reply

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Reply

Manager, Data Engineering

Chicago, IL · On-site

Manager For The Data & Ai Team Valorem Reply is an award-winning digital transformation firm ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Reply

Manager, Data Engineering

Chicago, IL

$160K - $190K/yr

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

JLL

Senior Manager, Data Engineering

Chicago, IL

What this job involves We are seeking an experienced Senior Manager, Data Engineering, to lead the Enterprise Platform Data Engineering team. In this role, you will own people leadership, delivery ...

Deinde Financial, LLC

Be Seen First

Data Engineering Manager

Chicago, IL · On-site

$170K - $180K/yr

About the Role We are a financial services company hiring a Data Engineering Manager to lead a small, high-impact team building the data infrastructure behind our loan performance, portfolio ...

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Showing results 1-20

All 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 Jun 28, 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, and why are they important?

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 Manager Data Engineering roles and responsibilities?

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 of 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 June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 85% In-person, and 15% Hybrid job distribution, with an average salary of $100,073 per year, or $48.1 per hour.

Manager, Data Engineering

The Aspen Group

Chicago, IL • On-site

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 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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