1302 Data Center Infrastructure Analyst jobs in New York,NY

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

Advanced Micro Devices

Secaucus, NJ 07094

~ 18 min OnsiteUrgently Hiring

Ability to lift up to 35 pounds, safely climb ladders, wear personal protective and ESD gear correctly, and stand and walk throughout the facility for extended periods without loss or reduction of productivity.
CompTIA A+ or equivalent experience.
CompTIA Server+ or equivalent experience.
Windows OS experience.

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Senior Vice President, Infrastructure Engineer

BNY

New York, NY 10007

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IT Infrastructure Architect, Staff

Curtiss-Wright

Parsippany, NJ 07054

RemotePaid Time OffRetirement Benefit

5-12 years of experience in infrastructure, systems engineering, or related roles
Broad experience in enterprise IT environments (not limited to a single system or tool)
Exposure to core infrastructure areas such as: Identity and access management (e.g., Active Directory or similar)
Server environments (Windows and/or Linux)
Application or platform support
Experience participating in system upgrades, migrations, or integrations
Demonstrated ability to learn and adapt to new technologies quickly
Strong communication and interpersonal skills
Proven ability to produce clear documentation with attention to detail
Exposure to Microsoft environments (Active Directory, Windows Server, SQL Server, Exchange) preferred
Experience with virtualization (e.g., VMware) preferred
Familiarity with cloud platforms (e.g., Azure) preferred
Exposure to CMDB or service management tools preferred
Experience working alongside ERP or business systems teams preferred
Any experience with platform ownership or application support preferred

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Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

New, Posted 1 day ago

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Production Assembler

Hubbell Incorporated

Westbury, NY 11590

~ 40 min Onsite

Must be dependable and responsible
Some manufacture experience
Good Attendance is a MUST
Good manual dexterity and hand-eye coordination
Attention to details
The Company will provide necessary training and certifications as required for the position upon hire
Good understanding of quality control principles
H.S. Diploma or GED
Prior experience as a mechanical assembler is a strong plus or other job that requires mechanical abilities

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L&A Solutions Sales Executive

NTT DATA Americas

New York, NY 10261

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Strategic Analyst

Disability Solutions

New York, NY 10261

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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
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.

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Associate, Infrastructure Project Advisory (Construction/Engineering)

KPMG

New York, NY 10025

Onsite

Minimum three years of recent experience in field construction management or construction advisory services with increasing roles and responsibilities in a variety of large capital project types for both public and private clients
Bachelor's degree is required
Master's degree from an accredited college or university in Engineering, Architecture, Building Science, Construction Management, Accounting, or a related field is preferred
Professional Engineer, Project Management, Certified Construction Manager, Certified Public Accountant, American Institute of Architects, or other professional certification is preferred
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
Will travel as needed

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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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