1417 Professional Level Data Engineer jobs in Harrison,NJ

Data Center Operator Technician

Total Deployment Solutions

Brooklyn, NY 11201

$55,000-$70,000/yr

OnsiteHealth InsurancePaid Time Off

1 to 3 years of relevant Data Center Operations, Data Center Technician or Data Center Hardware Support is required
At least one year of hands-on server and network gear installation and move experience including performing network patching (copper and fiber cabling) within a data center
Candidates must be familiar with patching schedules, relevant project documentation and typical hardware install, move, add, change (IMAC) events that take place in a data center
Ability to Commute: Brooklyn, NY 11220 (Required)
Data center: 1 year (Required)

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Director of Digital Strategy & Data-Driven Marketing

BoF Careers

New York, NY 10025

Flexible Schedule

New, Posted 1 day ago

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Head of Growth & Demand Gen — Data-Driven Acquisition

LAW BUSINESS RESEARCH

New York, NY 10025

New, Posted 1 day ago

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Senior Manager, Product Marketing - Ads Data & Measurement

Samsung Ads

New York, NY 10025

Head of AI Data Science, Intelligence Ventures

Spectrum Careers

New York, NY 10025

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Director, Strategy - Digital, Data, & Marketing

Bloomingdale's

New York, NY 10025

Flexible Schedule

New, Posted 14 hours ago

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iHire

Warehouse Manager

Rosco

Jamaica, NY 11435

$70,000-$85,000/yr

New, Posted 1 day ago

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GLOBAL HEAD OF ENTERPRISE MARKETING TECHNOLOGY, AI & DATA

BNY Mellon

New York, NY 10025

$200,000-$235,000/yr

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 25 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

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