521 Computer Science Specialist jobs in Chicago,IL

Bachelor's degree in a Biological Science
Education: Required (at least): Bachelor's degree in a Biological Science
Education: Preferred: graduated from MLS (Bachelors) or MLT (Associates) program
Certification: Preferred: MLS or MLT certification

University of Chicago - Department of Computer Science

Chicago, IL 60637

Gartner

Chicago, IL 60601

Safelite

Chicago, IL 60622

Valid state-issued driver's license and any other licenses (as required by federal, state and local laws) to operate a company vehicle. Required
On-the-job training/completion of Safelite SafeTech0 certification. Required
Must be 18 years of age or older.
Lifting and carrying up to 25 lbs. for short periods, assist an associate with lifting windshields weighing 26 lbs. to 50 lbs.
Ability to stand for extended periods, work in tight spaces, bend and twist body
Ability to use a variety of hand tools and power tools safely and effectively
Ability to operate a motor vehicle in accordance with all federal, state and local laws and agreement to be monitored via camera / video surveillance
Ability to safely work outside (in a variety of weather conditions and extreme temperatures) for extended periods
Ability to work with chemicals (including but not limited to flammable chemicals), as applicable per the “Safelite Way of Fitting”
Ability to read, write and interpret the English language and technical directions
Ability to communicate orally (via phone) and written (via computer or other electronic means)
Ability to maintain a professional appearance, adhering to Company uniform and PPE policies
Willingness and ability to maintain stable performance under professional or personal pressure and/or opposition (e.g., time pressure and productivity measures)
On-the-job training/completion of Safelite SafeTech\x020 certification. Required

Nanophase Technologies Corporation

Bolingbrook, IL 60490

Currently pursuing a Bachelor's or master's degree in chemical, Mechanical, Industrial Engineering. Manufacturing Engineering or related field preferred.
Basic understanding of manufacturing processes and engineering principles
Strong analytical and problem-solving skills
Proficiency in Microsoft Office (Excel, Word, PowerPoint)
Strong attention to detail and organizational skills
Ability to work independently and as part of a team
Ability to walk or stand for extended periods of time (10 hours minimum)
Consistent exposure to manufacturing environments, which may include noise, dust, temperature variations, and the need to wear personal protective equipment (PPE).
Ability to lift approximately 50 lbs. continuously during shift, including twisting, turning or bending with or without product in hand
Visual and auditory acuity are necessary for reading reports, viewing computer screens, and communicating effectively in person and via digital platforms.
Manual dexterity for keyboarding, writing, and handling office tools and technology.
Occasional travel between manufacturing sites or attending off-site meetings, trainings, or conferences.
Ability to work in extreme environmental temperatures
Authorized to work in the United States without the need for sponsorship (IRCA/immigration).

Rise

Chicago, IL 60695

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required.
Master's degree preferred.
Minimum of 10+ years of experience in data engineering, distributed systems, or enterprise data architecture.
Minimum of 5+ years designing large-scale cloud-based data platforms.
Demonstrated experience leading architectural strategy across multiple teams or business units.
Location: 4 days in office, Chicago or Sussex
This position is not eligible for visa sponsorship, including F-1 visa holders requiring CPT, OPT, or future H-1B sponsorship. Candidates must be authorized to work in the United States without current or future immigration sponsorship.
Experience in media, marketing analytics, or high-volume consumer data environments is a plus.
Knowledge of cloud-native data architectures, lakehouse and warehouse platforms, distributed computing (e.g., Spark), data orchestration frameworks, API-driven data integration, CI/CD for data platforms, and data lifecycle management and system interoperability.