1157 Java Backend Developer Aws jobs in Chicago,IL

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HVAC Service Sales Development Rep

Johnson Controls

Arlington Heights, IL 60005

~ 36 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Previous progressive sales roles.
Exposure to sales methodologies, standards, and disciplines.
Excellent presentation skills with the ability to engage in both individual and group communications.

SmartExplore AI is experimental.

DiversityJobs

GBS Marketing Business Development Executive, LE

Gartner

Chicago, IL 60601

New, Posted 7 hours ago

DiversityJobs

Business Development Executive, LE, GBS

Gartner

Chicago, IL 60601

New, Posted 1 day ago

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iHire

Cloud Engineer

KPMG

Chicago, IL 60642

New, Posted 4 hours ago

Culinary Agents

Banquet Chef

Episcope Hospitality - Chicago

Chicago, IL 60629

Flexible Schedule

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ResumeLibrary

Manager, Analytics, Data Platform & Partnerships

Rise

Chicago, IL 60695

OnsiteHealth InsurancePaid Time OffRetirement Benefit

5+ years of experience in data-driven marketing, data partnerships, data licensing, or related roles.
Experience working with third-party data providers, data marketplaces, or cooperative databases.
Background in marketing services, data services, or adtech/martech environments.
Understanding of data licensing models, usage rights, and privacy considerations (CCPA, GDPR, etc.).
Ability to translate complex data concepts into clear, practical applications for sales and clients.
Experience supporting proposals and solution development in a client-facing environment.
Familiarity with how third-party data is applied in direct marketing and/or omni-channel campaigns.

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

SmartExplore AI is experimental.

ResumeLibrary

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.

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