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3899 Data Engineer jobs in Secaucus,NJ

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Test Engineering Technician - AI Data Center Systems (Servers & GPUs)

Advanced Micro Devices

Secaucus, NJ 07094

Onsite

Ability to lift up to 35 pounds
Safely climb ladders
Wear personal protective and ESD gear correctly
Stand and walk throughout the facility for extended periods without loss or reduction of productivity

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Warehouse Operations Associate

Passport

Secaucus, NJ 07094

Bilingual Preferred

Principal Media Streaming Engineer

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$170,500-$228,600/yr

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Provider Data Representative

MJHS

New York, NY 10040

~ 19 min Onsite

High school degree or equivalent.
Minimum of 2 years experience in health care or managed care environment.
Must be computer literate, able to perform word processing and work with Excel.
Must possess strong communication skills and a customer service orientation.
Able to type a minimum of 45 wpm.

SmartExplore AI is experimental.

Part-Time Store Cashier/Stocker

ALDI

Clifton, NJ 07015

$20/hr

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Freight/Receiving

The Home Depot

North Bergen, NJ 07047

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Sr Business Analytics Advisor (US Remote)

FedEx Logistics

Jamaica, NY 11434

RemoteEducation AssistanceHealth InsuranceRetirement Benefit

Bachelor's degree/equivalent in engineering, data analytics, computer software or related technical or quantitative discipline.
Five (5) years experience in data analytics, data management and/or engineering
SQL expert and general understanding of databases, relationships and data integrity concepts
Excellent analytical, problem solving, presentation, project management, SQL, data analytics tools (e.g. SAS), data visualization tools (e.g., Tableau, SAS VA, Spotfire)
Excellent human relations, organizational/time management and communication skills.

SmartExplore AI is experimental.

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Contact Center Representative [Full Time - Work From Home]

PainPoint Health

West New York, NJ 07093

Remote

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 19 min Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

SmartExplore AI is experimental.

New, Posted 20 hours ago

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