673 Data Analyst Intern Engineering jobs in New Brunswick,NJ

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Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Newark, NJ 07175

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Director, Data Governance & Security

Princeton University

Princeton, NJ 08542

OnsiteUrgently Hiring

Bachelor's degree required
8+ years of relevant practical experience
Proficiency with technology and systems
Ability to quickly learn new systems and processes
Excellent written and oral communication skills
Discretion in dealing with highly confidential material
Excellent interpersonal skills and a high degree of professionalism and initiative
Excellent attention to detail; accuracy, flexibility and demonstrated ability to be proactive and to prioritize tasks
Strong problem-solving, data gathering and organizational skills
Strong computer skills, including proficiency in the Microsoft Office suite of applications (Word, Excel, PowerPoint and Outlook), CRM databases, ability to learn and manage alumni database information
Customer service orientation
Demonstrated ability to exercise independent judgment and make decisions based on established policies and procedures, and ability to interact with department staff, University Advancement staff and campus partners
Commitment to University Advancement's mission to inform, involve, and inspire Princeton's global community of alumni and friends, and adhering to its guiding principles of High Performance, Innovation, Civility, and Collaboration.

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Hospitality Management Internship - Food and Beverage

Six Flags Great Adventure Careers

Old Bridge, NJ 08857

$16/hr

New, Posted 2 hours ago

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Software Development Job Training Program

Year Up United

New York, NY 10060

$525/wk

Onsite

A high school graduate or GED recipient
Eligible to work in the U.S.
Available Monday-Friday throughout the duration of the program
Have not obtained a Bachelor's degree

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

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

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Director, Fraud Hub Lead Engineer

BNY

New York, NY 10007

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Product Engineer - onsite in New Jersey

CIENA

Berkeley Heights, NJ 07922

Flexible Schedule

Director, Portfolio Strategy & Market Insights

CSL Seqirus

Summit, NJ 07901

New, Posted 1 day ago

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Machine Learning Engineer

Capital One

New York, NY 10001

New, Posted 3 hours ago

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Information Technology Intern 2026

VINTUS

New York, NY 10025

$17/hr

Onsite

Currently enrolled in an undergraduate degree program in Information Technology, Computer Science, Management Information Systems, or a related field
Strong analytical and problem-solving skills
Proficiency in Microsoft Office Suite (Word, Excel, Outlook, Teams)
Excellent communication skills, both written and verbal
Ability to work independently and collaboratively in a fast-paced environment
High level of attention to detail and organizational skills

SmartExplore AI is experimental.