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Manager Data Engineering Jobs in Bolingbrook, IL

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

Data Product Manager - Senior

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 ...

Aurelius

Senior Manager, Data & BI Practice

Chicago, IL · On-site

$69.25 - $92.75/hr

Typically 7+ years of relevant experience in data engineering, business intelligence, analytics, or ... Solid understanding of data management practices, including data governance, data quality, and ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · Remote

$108K - $147K/yr

  • Medical

  • PTO

Who We're Looking For We are seeking an experienced Senior Data Engineering Manager to lead and scale our data engineering organization. You'll build and optimize our modern data platform, lead a ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

  • Medical

  • PTO

Who We're Looking For We are seeking an experienced Senior Data Engineering Manager to lead and scale our data engineering organization. You'll build and optimize our modern data platform, lead a ...

West Monroe

Senior Manager, Data Program Management

Chicago, IL · On-site

$119K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

West Monroe is seeking a Senior Manager, Data Program Management to lead large-scale enterprise ... Collaborate with data engineering and AI teams to incorporate generative AI, machine learning, and ...

Sralab

Manager, Data Analytics

Chicago, IL · On-site

Summary The Manager, Data Analytics will provide data analytics services to help solve business ... Engineering or a related field. * Minimum 7 years of recent hands-on experience using advanced ...

Coates Group

Tech Lead, Data Engineering

Chicago, IL · On-site

$145K - $165K/yr

... content management system and our industry leading signage solutions. (For example: If you've ... of data engineers and cross-functional stakeholders Capabilities * Ability to design scalable ...

3B Staffing LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... engineering - primarily within data including experience with data modelling, ETL/ELT, data integration, master data management/entity management, data quality, data warehousing, analytics ...

Posted today

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when ...

3B Staffing LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... engineering - primarily within data including experience with data modelling, ETL/ELT, data integration, master data management/entity management, data quality, data warehousing, analytics ...

Posted today

Cushman & Wakefield

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when ...

Coates Group

Tech Lead, Data Engineering

Chicago, IL · On-site

$145K - $165K/yr

... content management system and our industry leading signage solutions. (For example: If you've ... data engineers and cross-functional stakeholders Capabilities • Ability to design scalable ...

Coates Group

Tech Lead, Data Engineering

Chicago, IL · On-site

$145K - $165K/yr

... content management system and our industry leading signage solutions. (For example: If you've ... data engineers and cross-functional stakeholders Capabilities Ability to design scalable, secure ...

McDonald's - Corporate

Manager, Data Analytics

Chicago, IL · On-site

$127K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

Documentation Management: Oversee the maintenance and updating of technical documentation ... Work closely with data engineers, architects, and developers to design and optimize data pipelines

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Showing results 41-60

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

Manager Data Engineering information

See Bolingbrook, IL salary details

$30.7K

$96.1K

$170.1K

How much do manager data engineering jobs pay per year?

As of Aug 12, 2026, the average yearly pay for manager data engineering in Bolingbrook, IL is $96,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,100.00 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 Bolingbrook, IL? The most popular types of Data Engineering jobs in Bolingbrook, IL are:
What are popular job titles related to Manager Data Engineering jobs in Bolingbrook, IL? For Manager Data Engineering jobs in Bolingbrook, IL, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Bolingbrook, IL look for? The top searched job categories for Manager Data Engineering jobs in Bolingbrook, IL are:
What cities near Bolingbrook, IL are hiring for Manager Data Engineering jobs? Cities near Bolingbrook, IL with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you

Data Engineering Lead (Hybrid)

Rewards Network

Chicago, IL • Hybrid

$105K - $139K/yr

Full-time

Posted 21 days ago

Job description

About Rewards Network

For 41 years, Rewards Network has been helping restaurants grow revenue, increase traffic, and boost customer engagement through innovative financial, marketing services, and premier dining rewards programs. By offering unique card-linked offers, we introduce diners to fantastic restaurant experiences, leveraging advanced technology and data analytics to deliver value to restaurants, diners, and our strategic partners' loyalty programs.

Our Culture

At Rewards Network, you'll be part of a driven and diverse team that excels in collaboration, issue resolution, and taking ownership of both personal growth and the company's success. We take pride in partnering with the world's most powerful loyalty programs to drive full-price paying customers to local restaurants through marketing services and flexible funding options. Our engaging and rewarding environment is designed to help you gain your full potential.

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 science functions. The team is mid-migration —actively building on a modern stack— and this role exists to ensure disciplined execution, enforce architectural clarity and consistency.

The right person is a hands-on player-coach that is comfortable building teams as we invest in building out this competency as a core pillar of our long-term competitive advantage and strategy. That means assessing the current in-flight build and making deliberate decisions about what to keep and what to replace. 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 requires in office presence 3 days a week (Tuesday-Thursday) in Chicago.

What you'll bring to the table: (Responsibilities)
  • Establish and enforce architecture standards that ensure consistent designs that produce repeatable results.
  • Assess the current state of our data infrastructure — evaluate what needs refactoring, and what should be replaced — then execute on that plan with the team.
  • Lead the continued build-out of the modern data stack, including ELT pipelines, stream ingestion, transformation logic along with storage and compute — serving as the technical authority when the team needs a decision made.
  • Hire and develop data engineering talent, grow the team with engineers experienced in modern ELT architectures and develop the existing team members through mentorship, code review, and technical leadership.
  • Define and maintain the data model RFC process, reviewing proposed changes, enforcing boundary discipline, and ensuring no undocumented changes promote to canonical layers.
  • Directly lead the data science team, setting priorities, managing workstreams, and translating business problems into clearly scoped DS projects — fostering a culture of accountability, technical rigor, and continuous improvement.
  • Own data pipeline monitoring and observability, ensuring production pipelines have appropriate alerting, data quality checks, and incident response processes so failures are caught early and resolved quickly.
  • Provide regular visibility into team progress, architectural decisions, and risks to senior leadership, communicating tradeoffs clearly and escalating when business commitments are at risk.
Do you have the right mix of ingredients: (Requirements)
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
  • 6–10 years of experience in data engineering or a closely related discipline
  • 2+ years in a technical lead or staff-level individual contributor role
  • Familiarity with data science workflows, ML model lifecycle, and MLOps concepts
  • Expertise in data engineering — including model design, testing strategy, incremental patterns, and layer boundary governance
  • Experience designing and enforcing data modeling standards in a team environment — not just building models, but establishing the patterns others follow
  • Demonstrated ability to bring a team along technically — through code review, documentation, mentorship, and setting standards that stick
  • Familiarity with CI/CD for data pipelines (GitLab or equivalent) — including automated testing, deployment workflows, and environment promotion strategies
  • Experience with data observability and monitoring — alerting on pipeline failures, data quality degradation, and freshness SLAs (familiarity with tools like Elementary, Monte Carlo, or equivalent)
  • Strong decision-making under ambiguity — this role requires someone who can move forward with incomplete information and course-correct, not someone who needs consensus to proceed
  • Clear, direct communicator who can translate technical tradeoffs for non-technical stakeholders
  • Technical expertise in: Python, Apache Airflow, Apache Kafka, cloud data warehouses (Redshift, GBQ, Databricks)

Education, Certifications and Experience: Preferred

  • Advanced degree in a technical field
  • Experience at a company that has completed a similar legacy-to-modern warehouse migration
  • Prior experience managing or mentoring data engineers
What you'll love about us:

Comprehensive benefits package, which includes:

  • This is a full-time, exempt position. The base salary range for this role in Chicago is $190,000–$220,000 annually, depending on candidate's experience, as well as skills, and other factors. This role is also eligible for an annual bonus target of 15%, bringing total target compensation to $218,500–$253,000.
  • Competitive Time Off Benefits: including flexible PTO, 11 company holidays, and parental leave.
  • Generous dining reimbursement when you dine with our restaurant clients
  • 401(k) plan with a company match
  • Two medical plan options- Standard PPO or High Deductible Health Plan (HSA with company match for HDHP participants)
  • Partnership with Rx n Go, offering certain prescriptions for free
  • Two dental plan options and a vision plan
  • Flexible Spending Accounts and a pre-tax commuter benefit program
  • Accident, Critical Illness, and Hospital Indemnity Insurance Plans
  • Short Term and Long Term disability
  • Company-paid life insurance and AD&D insurance, supplemental employee, spouse, and child life insurance
  • Employee Life Assistance Program
  • Hybrid working environment in a new office space downtown near the Metra Train stations and catered lunches on Tuesdays.

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.

Expected Pay Range
$190,000—$220,000 USD