986 Software Engineer Security Platform jobs in Chicago,IL

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.

SmartExplore AI is experimental.

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Engineering Manager - Retail Media Network

Ulta Beauty

Bolingbrook, IL 60440

$119,300-$175,000/yr

~ 46 min OnsiteHealth InsurancePaid Time Off

B.S. in Computer Science or Computer Information Systems
8+ years experience in product development or related technical field
2+ years leading or managing technical teams, ideally within retail media, ad tech, or data platform environments
Experience with relevant tech stack including backend services built in Java, cloud‑native platforms on Google Cloud Platform (GCP), large‑scale analytics and reporting leveraging BigQuery, and integrations with third‑party ad tech and data platforms
Experience driving technical and analytical teams
Experience integrating platforms such as The Trade Desk, LiveRamp, Criteo, Citrus Ads and Google Ad Manager into RMN technology ecosystems
Experience implementing server-side tracking (CAPI) and identity frameworks (e.g., UID2)
Exposure to clean rooms and privacy-enhancing technologies
Experience building or integrating attribution models (MTA, MMM, incrementality)
Proven experience with agile (continuous delivery) and iterative methodologies
Solid experience with hybrid & cloud environments
Proven experience in eliciting requirements and enterprise automation
Solid experience writing product development requirements and architecture
Demonstrated experience in generating process modeling

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Engineering Intern

Nanophase Technologies Corporation

Bolingbrook, IL 60490

$19.50-$23/hr

~ 46 min OnsiteUrgently Hiring

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).

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Engineer, Electrical Analytical

Constellation Energy

Melrose Park, IL 60164

~ 25 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor&rsquos; degree in Engineering (Chemical, Civil/Structural, Electrical, Industrial, Mechanical or Nuclear) with 2 years of nuclear or related engineering experience
Maintain minimum access requirements or unescorted access requirements, as applicable, and favorable medical examination and/or testing in accordance with position duties
Bachelor&rsquos; degree in Engineering (Chemical, Civil/Structural, Electrical, Industrial, Mechanical or Nuclear) with 5 years of nuclear experience or related engineering experience
Maintain minimum access requirement or unescorted access requirements, as applicable, and favorable medical examination and/or testing in accordance with position duties

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Senior Associate, ServiceNow Software Asset Management (SAM)

KPMG

Chicago, IL 60629

OnsiteHealth InsuranceRetirement Benefit

Minimum of three years of experience with techniques such as assessing and planning IT capabilities, IT cost and performance management, IT solutions architecture, portfolio, program and project management, and transformational change
Bachelor's degree in Computer Science, Computer Engineering or related technical field from an accredited college/university
Deep understanding and hands-on experience with ServiceNow Software Asset Management (SAM), in addition to broader ServiceNow, IT management, enterprise strategy, IT supply chain, and information management disciplines
Experience in IT process improvement within your own organization or as an external consultant
Strong business, technical, analytical, problem-solving, and verbal and written communication skills

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Advanced Manufacturing Engineer - Machining

Dover Corporation

Downers Grove, IL 60515

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in mechanical, electrical or manufacturing engineering, industrial technology, or equivalent mix of education and experience.
Minimum five (5) years' experience of manufacturing engineering directly working with machining processes.
Experience setting up and operating state-of-the-art machining equipment
Extensive experience in machining and maintenance.
Well versed in standard machine shop manufacturing processes and set ups
Strong experience with SolidWorks or another mechanical CAD system
Highly experienced with variety of precision conventional and advance metrology systems (photogrammetry, CMMs, 3D imaging)
Strong commitment to proper safety precautions in design and practice
Strong understanding of Lean concepts.
Excellent interpersonal and influencing skills to interact with other departments.
Ability to multi-task and perform in a dynamic environment
Strong sense of urgency, accountability and highly objective oriented
Highly organized and efficient in approaching tasks, a self-starter with the ability to solve problems proactively
Clear, concise and articulate communication skills - verbal, written and listening
Strong team player, work ethic and commitment to win right
Strong analytical skills; ability to think big, act small and scale fast
Travel up to 60% may be required

SmartExplore AI is experimental.

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Director, Analytics, Data Engineering

Rise

Chicago, IL 60695

OnsiteHealth InsurancePaid Time OffRetirement Benefit

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.

SmartExplore AI is experimental.