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Associate Data Center Capacity Engineer Jobs in Naperville, IL

Develop and manage maintenance schedules, work orders, and capacity plans to ensure long-term ... Associate degree, technical degree, equivalent military training required or equivalent experience ...

... center engineering, ensuring all timelines and capacity needs are strategically managed for ... data centers and oversees implementation. -Leads planning and execution of rack deployments ...

... center engineering, ensuring all timelines and capacity needs are strategically managed for ... data centers and oversees implementation. -Leads planning and execution of rack deployments ...

Data Center Technician

Chicago, IL · On-site

$30 - $36/hr

About Chicago Chicago is a major data center hub serving the Midwest with excellent network ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... Position Overview Introl is seeking experienced Data Center Technicians to join our team as hourly ...

Senior Data Center Facilities Engineer

Chicago, IL · On-site

$109K - $148K/yr

Conducts site reviews and assessments to evaluate suitability for data center builds. Acts as the engineering representative on a wide range of moderately complex on-site scenarios related to mission ...

Showing results 21-40

Associate Data Center Capacity Engineer information

See Naperville, IL salary details

$51.4K

$147.2K

$196.7K

How much do associate data center capacity engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for associate data center capacity engineer in Naperville, IL is $147,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $195,700.00 per year, depending on experience, location, and employer.

What is an Associate Data Center Capacity Engineer?

Associate Data Center Capacity Engineers are entry-level professionals who assist in managing and planning the capacity needs of data centers. Their responsibilities include monitoring resource usage, forecasting future requirements, and helping to optimize space, power, and cooling to ensure efficient operations. They often work under the guidance of senior engineers to analyze trends, prepare reports, and support infrastructure upgrades or expansions. This role is critical in ensuring that data centers can meet growing demands without overextending resources.

What are the key skills and qualifications needed to thrive as an Associate Data Center Capacity Engineer?

To thrive as an Associate Data Center Capacity Engineer, you need a solid understanding of data center infrastructure, power and cooling systems, and capacity planning, often supported by a degree in engineering or a related field. Familiarity with data center management tools, monitoring systems, and industry certifications such as Uptime Institute or CDCP is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with cross-functional teams and solve complex problems. These abilities are critical for ensuring reliable data center operations, optimizing resource utilization, and supporting organizational growth.

What is the difference between Associate Data Center Capacity Engineer vs Data Center Technician?

AspectAssociate Data Center Capacity EngineerData Center Technician
Primary FocusCapacity planning, infrastructure analysis, optimizing data center resourcesHardware installation, maintenance, troubleshooting
Required SkillsData analysis, understanding of data center infrastructure, basic networkingHardware skills, troubleshooting, physical installation
Work EnvironmentOffice and data center environment, collaborative planningData center floors, hardware racks, physical setup
CertificationsData center or networking certifications (e.g., CCNA, CompTIA Network+)Hardware certifications (e.g., CompTIA A+)

The Associate Data Center Capacity Engineer primarily focuses on capacity planning and infrastructure optimization, requiring analytical skills and certifications in networking. In contrast, Data Center Technicians handle hardware installation and maintenance, working directly within the data center environment. Both roles are essential but differ in scope and responsibilities.

What does an Associate Data Center Capacity Engineer do?

As an Associate Data Center Capacity Engineer, your daily tasks will often include monitoring data center resources, analyzing current and projected capacity needs, and assisting with infrastructure planning. You'll collaborate closely with senior engineers, operations teams, and facility managers to ensure that power, cooling, and space requirements are met for both current and future workloads. Additionally, you may contribute to reporting, document capacity trends, and help identify areas for optimization to maintain efficiency and reliability within the data center.
What are the most commonly searched types of Data Center Capacity Engineer jobs in Naperville, IL? The most popular types of Data Center Capacity Engineer jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Associate Data Center Capacity Engineer jobs? Cities near Naperville, IL with the most Associate Data Center Capacity Engineer job openings:

Principal Associate, Data Scientist - Card DFS Integration

Socket.dev

Chicago, IL • On-site

$147.10 - $167.90/hr

Other

Posted 2 days ago

New


Job description

Principal Associate, Data Scientist - Card DFS Integration

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision‑making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The Discover Card Customer Management Data Science team is responsible for ensuring all models used to underwrite the Discover Card portfolio are well‑managed and creating the destination state that builds on the best of both worlds from both Discover’s models and Capital One’s models.

In this role, you will:
  • Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies – Python, Conda, AWS, H2O, Spark, and more – to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity
The Ideal Candidate is:
  • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
  • Statistically‑minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications:
  • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
  • At least 1 year of experience working with AWS
  • At least 3 years of experience in Python, Scala, or R
  • At least 3 years of experience with machine learning
  • At least 3 years of experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Chicago, IL: $147,100 - $167,900 for Principal Associate, Data Science

McLean, VA: $161,800 - $184,600 for Principal Associate, Data Science

Riverwoods, IL: $147,100 - $167,900 for Principal Associate, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non‑discretionary depending on the plan.

Capital One offers a comprehensive, competitive and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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