755 Data Infrastructure Engineer jobs in New York,NY

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Senior Vice President, Infrastructure Engineer

BNY

New York, NY 10007

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Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

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Construction Project Manager - MEP Infrastructure Solutions

ABM

Woodbridge, NJ 07095

~ 40 min Onsite

Bachelor's degree in Engineering, Architectural, Construction, or similar industry and/or combination of degree and 10 years of industry specific work experience.
Minimum seven (7) years of Infrastructure Solutions, Building Energy Solutions, ESCO, large commercial HVAC, Mechanical, and Electrical project management experience.
Experience with State of New Jersey / energy Savings Improvement Program (ESIP).
Experience managing large projects with multiple subcontractors in various industry disciplines.
Experience in preparing purchase orders and sub-contractor agreements.
Experience in customer, sub-contractor, and vendor invoicing.
Experience working with forecasting and utilizing forecasting platforms.
Experience creating and updating project schedules.
Experience managing multi-million dollar mechanical/HVAC/electrical projects.
Experience managing multiple projects simultaneously.
Experience in project close out steps and O&Ms.
Must have extensive managerial and technical experience.
Strong understanding of engineering principles, procedures and standards.
Well organized with strong planning.
Quality control and safety oriented.
Expertise with Microsoft Office including Excel, PowerPoint, Project, and SharePoint.
Position requires a valid driver's license, as travel to project sites is required.

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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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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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Senior Software Engineer - Build Tooling Infrastructure

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$141,900-$190,300/yr

New, Posted 19 hours ago

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Data center site Engineer

Penguin Maintenance and Service

New York, NY 10013

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Human Resources Technology Data Engineer

LHH US

New York, NY 10022

$85-$100/hr

New, Posted 1 day ago

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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