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

PeopleCaddie

Data Engineer - Manager

Chicago, IL · Remote

$80 - $85/hr

This is a senior, hands-on engineering role requiring deep technical expertise, strong ... Data quality, master data management, and governance * Business intelligence and advanced analytics ...

Ampcus

Sr. Data Engineer

Chicago, IL · Hybrid

$118K - $141.80K/yr

... engineering, cloud services, and big data technologies, with a strong focus on AWS services, Python programming, and data processing frameworks. Responsibilities: * AWS Management: Utilize AWS ...

Pwc

Data Engineer - Manager

Chicago, IL

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

Data Engineer - Manager

Rosemont, IL

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 ...

Diverse Lynx

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Build and manage data pipelines using AWS services such as AWS Glue, EMR, and Lambda. * Develop ... Experience with CI/CD pipelines for data engineering workflows. What the Client is Specifically ...

RIT Solutions

Data Manager

Rosemont, IL · On-site

Data Engineer GT's Information Technology (IT) vision and strategy consists of three pillars ... They play a crucial role in building and managing the data pipelines that enable efficient and ...

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All JobsManager Data Engineering JobsManager Data Engineering Jobs in Naperville, IL

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 May 28, 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 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.

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 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.

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 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:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Naperville, IL as of May 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $97,000 per year, or $46.6 per hour.
Manager, Enterprise Data and Integrations

Manager, Enterprise Data and Integrations

Invenergy LLC

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Invenergy rating

8.6

Company rating: 8.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Invenergy is North America's largest privately held developer, owner, and operator of power infrastructure. With 25 years of trusted execution, we deliver reliable, affordable energy through a diverse portfolio that includes natural gas, solar, land-based wind, energy storage, transmission, and domestic manufacturing. Headquartered in Chicago, we develop, own, and operate large scale projects that power communities and support the energy future.

This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.

Job Description

The Manager, Data and Integrations is responsible for overseeing the enterprise integration program and the operational management of data pipelines, analytics platforms, and integration workflows. This role manages the technology stack spanning Azure, Databricks, Synapse, SQL Server, and Boomi, ensuring secure, reliable, and highperforming data and integration operations. The manager will develop program roadmaps, govern standards, lead crossfunctional collaboration, and ensure seamless flow of data across applications, systems, and business processes.

This role provides technical leadership, operational oversight, and strategic direction to a team of analysts and integration specialists, as well as external vendors. The Manager, Data & Integrations partners closely with business teams to understand data and analytics needs, supports data exploration, and ensures governance, compliance, and efficient operations across the enterprise data ecosystem.

ResponsibilitiesProgram Leadership & Strategy
  • Lead the enterprise application integration and data operations program, including roadmap development, governance, standards, and strategic planning.
  • Provide regular updates to IT and business leadership regarding program progress, performance, risks, and planned improvements.
  • Drive continuous improvement of integration and data platform operations through process optimization, automation, and adoption of industry best practices.
Platform & Data Pipeline Operations
  • Oversee daily operations and monitoring of data pipelines and platforms across Azure, Databricks, Synapse, SQL Server, and Boomi.
  • Ensure reliability, availability, and performance of integration workflows and data processing pipelines.
  • Direct and support root-cause analysis of operational issues and establish preventative practices, alerts, and dashboards.
  • Manage system configuration, access provisioning, workspace/environment administration, and routine platform health checks.
Integration Management
  • Lead and supervise the design, development, deployment, and maintenance of application integrations using Boomi and other integration technologies.
  • Ensure integrations are properly cataloged, documented, secure, and aligned with enterprise architecture principles.
  • Improve support processes by reducing escalations through standard resolutions, documentation, and knowledge transfer to the IT Service Desk.
  • Oversee QA, UAT, and regression testing for all new or enhanced integrations.
Data Governance, Quality & Compliance
  • Contribute to enterprise data governance practices, including metadata management, lineage documentation, and catalog upkeep.
  • Ensure integrations and data pipelines adhere to governance, security, and compliance requirements.
  • Support data quality practices by identifying data anomalies, coordinating remediation efforts, and implementing automated validation checks.
CrossFunctional Partnership & Business Enablement
  • Collaborate with business teams to understand analytics and reporting needs, supporting data exploration and enabling self-service usage of enterprise data.
  • Partner with application teams, enterprise architecture, and functional IT groups to ensure integrations align with application roadmaps and business priorities.
  • Communicate change management plans, ensuring integration owners are informed and changes are tested and validated before deployment.
Team Leadership & Vendor Management
  • Manage a team of system analysts, data operations specialists, and thirdparty vendors responsible for integrations and data platform operations.
  • Provide coaching, development, and guidance on integration patterns, data engineering best practices, and operational excellence.
  • Oversee vendor coordination for integration support, new capability delivery, and escalation resolution.
Operational Administration
  • Maintain operational tasks including cost center updates, distribution list management, access reviews, and platform usage monitoring.
  • Develop metrics, dashboards, and weekly status reports to communicate operational performance and guide decision making.
  • Maintain shared repositories of system documentation, SOPs, architecture diagrams, training materials, and support guides.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • 2+ years managing integration programs and technical teams.
  • 5+ years of experience working with modern integration platforms (Boomi, Azure Integration Services, MuleSoft).
  • 5+ years of experience working with modern data platforms (Databricks, Azure Data Factory, FiveTran).
  • 7+ years designing and implementing integration solutions (REST, SOAP, APIs, file-based integrations).
  • Hands-on experience managing Azure, SQL Server, Azure SQL, Databricks, or Synapse environments.
  • Experience supporting or implementing integrations with SaaS platforms such as Oracle Cloud, Workday, Hexagon EAM, etc.
  • Strong understanding of data flows, business processes, and technical interfaces.
  • Knowledge of common protocols and formats: XML, JSON, REST, SOAP, JDBC/ODBC, SFTP, PGP encryption.
  • Strong communication, organizational, and stakeholder management skills.
  • Ability to manage project delivery and multiple changing priorities.
  • Eligible to work in the United States without the need for employer sponsorship.
Preferred Qualifications
  • PMP or similar project management certification.
  • Handson experience with Boomi AtomSphere administration and monitoring.
  • Familiarity with Python, JavaScript, or NodeJS.
  • Experience with Power BI or other analytics/data visualization tools.
  • Experience with advanced Excel for data validation and manipulation.
  • Understanding of Azure Fabric, Unity Catalog, or modern data governance tools.

Base Pay

139,000.00 - 165,000.00 USD Annual
Bonus: 25% - 40%

The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.
In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.
Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, paid time off, etc.

Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.

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