875 Big Data Engineer jobs in Chicago,IL

HS Diploma/GED required.
One (1) year of relevant operational warehouse experience.
Data entry/customer service experience, preferably within the International Freight Forwarding industry
Ability to type efficiently with accuracy and speed
Intermediate MS Office skills (Microsoft Outlook, Word, PowerPoint), specifically with Excel

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New, Posted 10 hours ago

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Market Data Analyst

S4 Market Data

Chicago, IL 60629

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Sales & Marketing Data Manager

Guidehouse Careers

Chicago, IL 60629

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Product Manager, Revenue Growth Management

Constellation Brands

Chicago, IL 60604

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Director, AI Engineer

KPMG

Chicago, IL 60629

OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
Travel as needed
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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New, Posted 12 hours ago

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Digital Process Automation Engineer

Charter Dura-Bar

Schaumburg, IL 60159

Hybrid~ 41 minHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree in Engineering, Computer Science, or related field
6+ years of experience in OT systems, software automation platforms, or software engineering
Strong experience with MES, system integration, and software automation platforms
Experience with database and data tools such as Microsoft SQL Server (MSSQL), Snowflake data lake, and Alteryx
Experience with GenAI platforms and tools
Advanced programming and system architecture experience
Experience leading projects and cross-functional initiatives
Strong communication, leadership, and problem-solving skills
Applicants must be authorized to work for any employer in the U.S.
Charter Manufacturing is unable to sponsor for employment visas at this time.

SmartExplore AI is experimental.

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89% of jobs ask for a resume

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Manufacturing Engineer

Heico

Chicago, IL 60630

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Ability to read and interpret engineering drawings and prints.
Ability to work independently on the production floor, communicate findings clearly, and influence peers and production staff without direct authority.
Strong written and verbal communication skills.
Organized, detail-oriented, and comfortable working in a fast-paced, hands-on manufacturing environment; proficient with Microsoft Office.
Demonstrated attention to quality standards in a production environment; understands the relationship between process discipline and product outcome.
Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, or a related technical discipline.
3 - 6 years of experience in a manufacturing environment in a technical support capacity (IE, ME, process engineering, or equivalent).

SmartExplore AI is experimental.