602 Engineer jobs in Highlands,NJ

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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Director of Engineering

CROTHALL HEALTHCARE

New York, NY 10029

$160,000-$180,000/yr

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Senior Manager, Network Product Engineering & Operations

The Walt Disney Company (Corporate) Careers

New York, NY 10025

$197,400-$264,700/yr

New, Posted 2 hours ago

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RTL Design Engineer for AI Evaluation

SaidGig

Highlands, NJ

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Port Engineer CSA (6778)

SubCom

Eatontown, NJ 07724

~ 26 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in marine field, Maritime Academy graduate preferred, or five years equivalent experience required
United State Coast Guard Chief Engineer unlimited license preferred
Diesel experience required; Cable Installation experience preferred
Past dry-dock or major repair supervisory experience preferred
Strong computer skills and working knowledge of Microsoft Office products required
Knowledge of ABS / AMOS / SHIPNET or similar software helpful
Knowledge and understanding of American Bureau of Shipping, United States Coast Guard and international regulations and protocols relating to company vessels required
Must be able to obtain a Transportation Workers Identification Credential (TWIC)
Written and verbal communications at all organizational levels in a clear and concise manner
Strong ability to manage multiple tasks requiring solid planning, control, review, and cost projection/variance analysis skills
Highly developed prioritization and organizational skills and attention to detail
High level of analytical skill and process management ability
Ability to drive long distances (up to 5 hours) and/or travel by air to various US ports possibly requiring overnight stays
Ability to board vessels in port (requires using a gangway with a grade of 30-60 degrees)
Ability to climb ladders and navigate over uneven surfaces during vessel visits
Ability to board vessels at anchor (climb a Jacob's ladder from a water taxi)
Possess good sensory perception (sight, smell, hearing, touch)
Ability to enter and inspect confined spaces
Willingness to remain accessible for communication and consultation on an around the clock basis and work unusual hours, including nights and weekends as required
Candidates for positions with SubCom must be legally authorized to work in the United States. Employment eligibility verification will be required at the time of hire.
Visa sponsorship is not available for this position.

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New, Posted 6 hours ago

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 1 hr 10 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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