556 Engineering Manager Data Platform jobs in New York,NY

Director, Data Engineering

Subway Restaurants

Westport, CT 06880

$184,500-$230,600/yr

~ 1 hr 6 min OnsiteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

8–12 years of experience in data engineering or adjacent platform roles
3–5 years of experience leading teams or enterprise-scale data capabilities
Bachelor's degree required (Computer Science, Engineering, Data, or related field)
Advanced degree preferred
Deep understanding of modern data architectures (cloud data platforms, batch/stream processing)
Strong experience leading data engineering teams and platforms in a technology organization
Ability to influence across Product, Analytics, Platform, and Security; proven people leadership and delivery management skills
Experience operating cloud-based, distributed data platforms in complex, matrixed enterprise environments
Strong communication skills, executive presence, and a bias for ownership, reliability, and continuous improvement

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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.

SmartExplore AI is experimental.

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Director, Data Engineering

Subway Restaurants

Southport, CT 06890

$184,500-$230,600/yr

~ 1 hr 5 min OnsiteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

8–12 years of experience in data engineering or adjacent platform roles
3–5 years of experience leading teams or enterprise-scale data capabilities
Bachelor's degree required (Computer Science, Engineering, Data, or related field)
Advanced degree preferred
Deep understanding of modern data architectures (cloud data platforms, batch/stream processing)
Strong experience leading data engineering teams and platforms in a technology organization
Ability to influence across Product, Analytics, Platform, and Security; proven people leadership and delivery management skills
Experience operating cloud-based, distributed data platforms in complex, matrixed enterprise environments
Strong communication skills, executive presence, and a bias for ownership, reliability, and continuous improvement

SmartExplore AI is experimental.

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ResumeLibrary

Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

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Software Engineer II - Ad Platform, Integrating Engineering

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

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Specialist, Manufacturing Engineer

L3 Harris

Clifton, NJ 07011

~ 30 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.
Ability to obtain a US security clearance
Security clearances may only be granted to U.S. citizens

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Manufacturing Engineering Manager - Boonton, NJ

Hubbell Incorporated

Boonton, NJ 07005

~ 49 min Onsite

BS in Electrical, Industrial, Mechanical Engineering or similar
5+ years experience in an Electronics, Electro-Mechanical, or relevant manufacturing environment
Proven track record for handling new product launches through PFMEA assembly line creation, ERP setup work etc.
Proven track record of conceptualizing and implementing Test automation framework on the manufacturing floor to reduce takt times and improve process quality,
Must be fluent with mechanical 3D CAD package.
Must be able to read schematics to troubleshoot board level issues
Experience with Electronics and manufacturing of Printed Circuit Board (PCB) Assemblies.
Must possess excellent verbal and written communications skills
An understanding of lean tools and concepts is essential, i.e. time studies, kaizen events, Value Stream Maps, etc
A continuous improvement mindset is critical
Must be familiar with ISO 9000

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Associate or Senior Associate, Fixed Assets / Cost Segregation Engineer (AMCS)

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

Bachelor's degree from an accredited college/university in engineering, architecture, construction management, or a closely related discipline is required
Minimumone year of recent experience in an engineering firm, corporation, or public accounting firm; background in cost segregation, fixed asset consulting, construction, engineering, or a related technical field is preferred
Understanding of construction processes and building systems, and how project costs translate into asset classifications
Basic knowledge of federal income tax depreciation principles and accounting for capital expenditures, or a demonstrated interest in developing this skillset
Experience reviewing technical drawings, construction documentation, or large project cost datasets
Strong proficiency in Excel (such as advanced formulas, pivot tables, lookups) and experience working with structured data from financial or operational systems; demonstrated experience or strong aptitude with data-wrangling/automation tools (such as Power Query, Alteryx), business intelligence tools (such as Power BI, Tableau), or query/scripting languages (such as SQL, Python, R)
Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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Software Engineer II - Ad Platform, CRM Analytics

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

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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

SmartExplore AI is experimental.