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

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

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 ...

Senior Data Engineer Manager

Chicago, IL · Remote

$108K - $147K/yr

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 ...

... 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 ...

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 ...

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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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

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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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

Showing results 41-60

Manager Data Engineering information

See Naperville, IL salary details

$31K

$97K

$171.7K

How much do manager data engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for manager data engineering in Naperville, IL is $97,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $125,300.00 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 Naperville, IL? The most popular types of Data Engineering jobs in Naperville, IL are:
What are popular job titles related to Manager Data Engineering jobs in Naperville, IL? For Manager Data Engineering jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Naperville, IL look for? The top searched job categories for Manager Data Engineering jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Manager Data Engineering jobs? Cities near Naperville, IL with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Naperville, IL as of July 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $97,000 per year, or $46.6 per hour.

Senior Data Engineer Manager

Adoreal

Chicago, IL • On-site, Remote

$109K - $148K/yr

Full-time

Medical, PTO

Posted 5 days ago


Job description

Who We Are 

We are a fast-growing vertical SaaS company leveraging innovation and disruptive technologies to improve consumer experiences, outcomes, and predictability within the plastic surgery industry. Our team thrives on challenges, embraces change, and is dedicated to transforming how the industry operates. 

Data is a critical product within our company, and we are investing heavily in our data capabilities. In this role, you will lead one of the most impactful teams in the organization, with significant opportunity for growth and influence. 

 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 distributed engineering team, and partner with product, analytics, and business leaders to ensure data is accurate, accessible, and scalable. This role offers full autonomy, leadership opportunities, and direct impact on our data architecture and product capabilities.

In this role, you will strengthen our analytics capabilities, partner closely with business leaders, and ensure the delivery of high-impact, actionable insights that drive decision-making across the organization. 

While we are a remote-first company, we are currently only able to hire candidates located in the following U.S. states: CA, CO, FL, GA, IL, MN, OK, OR, PA, RI, TX, UT, and WA. We hope to expand to additional states in the future.

Responsibilities  

As the Senior Data Engineering Manager, you will: 

Team Leadership & Strategy 

  • Lead, mentor, and grow a distributed analytics team across multiple time zones. 
  • Establish priorities, set goals, and manage performance to foster a high-performing analytics organization. 
  • Develop and implement analytics standards, best practices, and processes to ensure quality and consistency. 

Platform & Pipeline Engineering

  • Architect, build, and maintain scalable ETL/ELT pipelines, event streams, and ingestion frameworks to support analytics, product features, and ML applications.
  • Oversee the design and implementation of cloud-native data infrastructure (data warehouses, lakes, transformation layers, and orchestration).
  • Ensure high data quality, consistency, governance, and observability across all data systems. 
  • Oversee and guide the development of dashboards, automated reports, and analytics tools using BI platforms (e.g., Tableau, Looker, Power BI, Fivetran, or Redshift). 
  • Ensure robust data pipelines, reliable metrics, and scalable reporting solutions in collaboration with data engineering. 

Project Delivery 

  • Prioritize analytics projects, balance roadmap demands, and ensure timely delivery. 
  • Champion analytical excellence, including experiment design, KPI definition, and model validation. 

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Systems, or a related quantitative field.
  • 7+ years of professional experience in data engineering, data platform development, or related fields - including managing data teams.
  • Deep experience with modern cloud data ecosystems (e.g., Snowflake, BigQuery, AWS/Azure/GCP data services).
  • Expertise building and optimizing ETL/ELT pipelines using tools like dbt, Apache Airflow, Spark, or similar orchestration frameworks.
  • Strong SQL and programming skills (Python, Scala, or similar languages).
  • Experience with data modeling, schema design, and real-time data ingestion strategies.
  • Excellent communication skills, with the ability to translate complex analyses to non-technical stakeholders. 
  • Demonstrated ability to manage multiple priorities in a fast-paced, remote environment. 

Preferred Qualifications 

  • Experience managing internationally distributed teams. 
  • Familiarity with cloud data platforms (e.g., Snowflake, AWS, GCP) and modern analytics stacks. 
  • Experience with statistical modeling or data science techniques. 

Benefits

Why Adoreal? 

Joining Adoreal means becoming part of a high-performing, ambitious team that works hard, achieves extraordinary results, and enjoys the rewards that follow. Every employee receives equity, aligning us all in our shared success. Promotions and growth opportunities are limitless, driven only by your performance and dedication to our core principles: 
 

  • We do what is best for the company, not what is best for individuals of the company-we take pride in our work, but not in pride itself-the success of Adoreal is more important than our egos. 
  • We always share relevant information and admit our mistakes freely and openly (even when it is worrisome or uncomfortable to do so). Candid communication and a solution-oriented mindset is rewarded. 
  • We innovate by finding the right problems, then solving them. We thrive on change that minimizes complexity and improves situations for our stakeholders. 
  • We incentivize efficient results & people over process and focus only on the work that creates the most value for our stakeholders. 
  • We are quietly confident and openly humble, being tenacious in our quest to perform and inspire others with our thirst for excellence. 
  • We do not bow up and knock down-we care about our teammates and treat all of them with respect, regardless of their level within the company. 
  • We are steadfast in our pursuit to better our company, our colleagues, and ourselves. When we hire, we only hire people who bleed our principles and who will hopefully be our replacement one day. 
What We Offer 

At Adoreal, we believe in supporting our team's well-being and growth through comprehensive benefits and a collaborative, people-first culture. As a globally remote company, we prioritize flexibility, inclusivity, and teamwork rooted in the Adoreal principles. 

Benefits & Perks: 

  • Healthcare coverage for you and your family 
  • Paid time off (PTO) and paid holidays 
  • Performance-based bonuses and company equity opportunities 
  • Fully remote work environment with flexible schedules 
  • Collaborative and thriving team culture guided by Adoreal's core values 

At this time, Adoreal is not offering visa sponsorship for this position. Candidates must have current and valid authorization to work in the country where they are applying. We comply with all applicable employment and immigration laws, including U.S. regulations, and encourage applicants to verify their work authorization status before applying. 
Adoreal is an equal opportunity employer committed to fostering a diverse, inclusive, and fair workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic under applicable U.S. law (EEOC) or local employment regulations where we operate. We encourage applications from candidates of all backgrounds. 
Accommodations for disabilities are available upon request throughout the recruitment process. 
*We are not working with search firms for this role, thank you*