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Data Networking Jobs in Chicago, IL (NOW HIRING)

Socket.dev

Senior Data Scientist

Chicago, IL · On-site

$89 - $127/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include ...

UNAVAILABLE

Senior Data Scientist

Chicago, IL · On-site

$89 - $127/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include ...

Publicis Groupe Holdings B.V

Senior Data Scientist

Chicago, IL

$88K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include ...

Publicis Groupe Holdings B.V

Senior Data Scientist

Chicago, IL · On-site

$88K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include ...

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Showing results 41-60

All JobsData Networking JobsData Networking Jobs in Chicago, IL

Data Networking information

See Chicago, IL salary details

$5

$47

$143

How much do data networking jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data networking in Chicago, IL is $47.64, according to ZipRecruiter salary data. Most workers in this role earn between $21.96 and $64.15 per hour, depending on experience, location, and employer.

What is data networking?

Data networking refers to the practice of connecting computers and other devices to share data and resources, such as files, applications, and internet access. It involves the use of hardware (like routers, switches, and cables) and software protocols to enable communication between devices within a network or across the internet. Data networking is essential for organizations and individuals to facilitate communication, collaboration, and access to information securely and efficiently.

What are the key skills and qualifications needed to thrive in data networking, and why are they important?

To excel in Data Networking, you need a solid understanding of network protocols, IP addressing, routing, and switching, usually supported by a degree in computer science or a related field. Familiarity with network hardware, monitoring tools like Wireshark, and certifications such as Cisco's CCNA or CompTIA Network+ are commonly required. Analytical thinking, problem-solving, and clear communication are valuable soft skills for diagnosing issues and collaborating with teams. These skills and qualifications ensure reliable network performance, efficient troubleshooting, and secure data transmission in complex IT environments.

What are some common challenges faced by professionals in data networking roles, and how can they be effectively managed?

Data networking professionals often encounter challenges such as troubleshooting complex network issues, staying updated with rapidly evolving technologies, and ensuring network security against emerging threats. Effective management of these challenges involves continuous learning, leveraging automated monitoring tools, and collaborating closely with cross-functional IT teams to proactively address potential vulnerabilities. Regular training, attending industry conferences, and participating in knowledge-sharing sessions can also help professionals stay ahead in this dynamic field.

What is the difference between Data Networking vs Network Technician?

AspectData NetworkingNetwork Technician
CertificationsCCNA, CompTIA Network+CCNA, CompTIA Network+
Work EnvironmentDesigning, implementing, managing data networksInstalling, troubleshooting, maintaining networks
Job FocusNetwork architecture, data flow optimizationHardware setup, fault diagnosis
Industry UsageIT, telecommunications, enterprise networksIT support, service providers, corporate networks

Data Networking involves designing and managing complex data networks, focusing on architecture and data flow. Network Technicians primarily install and troubleshoot network hardware. While both roles require similar certifications and work in related environments, Data Networking emphasizes planning and optimization, whereas Network Technicians focus on maintenance and support.

Is data networking a high paying job?

Data networking jobs, such as network administrators and engineers, tend to offer competitive salaries that increase with experience, certifications, and technical skills like knowledge of Cisco or Juniper equipment. While salaries vary by location and industry, these roles are generally considered well-paying within the IT sector.

What are popular job titles related to Data Networking jobs in Chicago, IL?

For Data Networking jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Networking jobs in Chicago, IL look for?

The top searched job categories for Data Networking jobs in Chicago, IL are:

Data Networking jobs near you
Infographic showing various Data Networking job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $99,100 per year, or $47.6 per hour.

Project Perseus \u007C Data Quality Analyst - German Speakers (Human-in-the-Loop AI)

Welo Data

Mundelein, IL

$32/hr

Full-time

Re-posted 26 days ago

Job description

Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.

You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.

Project Details

  • Job Title: Data Quality Analyst
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $38/hour
  • Contract Duration: 1-year contract with possibility of extension

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You’ll Do
  • Support quality and execution across DLA teams, ensuring work meets defined standards at scale
  • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
  • Act as the first line of support for DLAs — answering questions and helping interpret guidelines
  • Help DLAs navigate ambiguity and apply evolving instructions effectively
  • Support onboarding and training of new DLAs through hands-on guidance and coaching
  • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
  • Identify patterns, recurring issues, and edge cases in both human and model outputs
  • Participate in calibrations, team discussions, and stakeholder syncs
  • Contribute to improving guidelines, processes, and overall team performance
  • Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 2–4 years of experience in data annotation, content quality, QA, or related fields
  • Strong ability to interpret and apply complex guidelines with consistency
  • Excellent attention to detail with a high bar for quality
  • Ability to stay consistent while working with evolving guidelines and priorities
  • Experience in AI/ML data workflows or human-in-the-loop evaluation environments
  • Prior experience auditing or reviewing the work of others
  • Familiarity with safety, compliance, or policy-driven content evaluation
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.