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Cloud Data Engineer

Jersey City,NJ

619 Cloud Data Engineer jobs in Jersey City,NJ

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Senior AWS Redshift Data Engineer (Contract | 1099)

BrainTrust

New York, NY 10001

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Manager, SAP S4 Public Cloud Asset Management (A2R) Lead

KPMG

New York, NY 10025

~ 25 min Onsite

  • Minimum six years of recent experience in external management consulting, including at least two full lifecycle SAP S/4HANA Public Cloud implementation with responsibility for Asset to Retire (A2R) and Asset Accounting processes
  • Experience supporting at least two S4 Public Cloud implementations involving fixed asset accounting, capital projects, CIP, asset capitalization, depreciation, and retirements, with the ability to contribute to fit to standard workshops and business centric solution design
  • Strong understanding of SAP S/4HANA Public Cloud Asset Accounting configuration, including asset classes, depreciation areas, capitalization rules, investment measures, and integration with Financial Accounting and Controlling
  • Proven delivery execution skills across SAP Activate phases, including design, build, testing, cutover, and hypercare, with experience supporting asset reconciliation, period end close, and audit readiness
  • Travel may be up to fifty to eight percent
  • Applicants 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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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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Software Engineer II - Ad Platform, Integrating Engineering

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

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Sr. Backend Software Engineer (Video Engineering)

Philo

New York, NY 10025

Flexible Schedule
New, Posted 12 hours ago
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Specialist, Manufacturing Engineer

L3 Harris

Clifton, NJ 07011

~ 28 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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New, Posted 16 hours ago
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Machine Learning Engineer

Capital One

New York, NY 10001

New, Posted 6 hours ago
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Fullstack Software Engineer, Micro Platforms

SaidGig

Jersey City, NJ

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Director of Engineering

Marine Electric Systems

South Hackensack, NJ 07606

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Electrical Engineering or a closely related engineering discipline.
  • Significant experience in electrical engineering, sustaining engineering, production engineering, test engineering, or engineering leadership in a manufacturing environment.
  • Strong hands-on technical knowledge of electrical and electromechanical systems.
  • Experience with PCB troubleshooting, electrical testing, components, assemblies, and production support.
  • Ability to read and interpret drawings, schematics, specifications, technical data packages, and test procedures.
  • Experience supporting manufacturing, production, repair, or sustainment work.
  • Ability to make practical engineering decisions with imperfect information.
  • Strong communication skills and ability to work cross-functionally with production, quality, procurement, sales, and leadership.
  • Demonstrated ability to mentor junior engineers or technical staff.
  • Strong organizational skills and ability to create structure in a fast-moving small-company environment.
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Senior Vice President, Infrastructure Engineer

BNY

New York, NY 10007

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