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Engineer General Professional

Edison,NJ

695 Engineer General Professional jobs in Edison,NJ

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Senior Data Product Engineer, Commercial

Genmab

Plainsboro, NJ 08536

RemoteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years in data engineering, analytics engineering, or data platform development.
  • 10+ years of experience IT with some in Biotech/Pharma industry
  • Expert-level proficiency in:
  • **DBT:** advanced macros, Jinja, testing, exposures, dbt Cloud deployment.
  • **Databricks:** Spark (PySpark, SQL), Delta Lake, Unity Catalog.
  • **Snowflake**
  • **AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals.**
  • **Data Visualization:** Power BI or Tableau.
  • Strong programming background in Python and SQL (including query optimization).
  • Proven experience with distributed systems and large-scale datasets (TB scale).
  • Experience implementing CI/CD pipelines, data testing, and infrastructure as code.
  • Solid understanding of data governance, security, and compliance in enterprise environments.
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New, Posted 1 day ago
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Quality Control Engineer III (Hybrid - New York, NY)

Energy Solutions

New York, NY 10279

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Port Engineer CSA (6778)

SubCom

Eatontown, NJ 07724

~ 37 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 14 hours ago
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Senior Vice President, Forward Deployed Engineer

BNY

New York, NY 10007

$104,000-$210,000/yr
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Manufacturing Engineer

Whippany Actuation Systems

Whippany, NJ 07981

$90,000-$110,000/yr
~ 44 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • A bachelor's degree in manufacturing, Aerospace, or Mechanical Engineering from an accredited university or college;
  • One year of experience in a manufacturing environment which includes interpreting blueprints and familiarity with GD&T;
  • Previous experience with CAD systems;
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Associate or Senior Associate, Fixed Assets / Cost Segregation Engineer (AMCS)

KPMG

New York, NY 10025

~ 48 min 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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Chief Engineer

Ace Hotel New York

New York, NY 10001

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Sr. Manufacturing Engineering Manager

Crane Company

Caldwell, NJ 07006

~ 45 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 8+ years of relevant experience demonstrating expertise in manufacturing engineering and process development.
  • Strong understanding of continuous improvement tools, raw materials, production processes, quality control, and cost optimization techniques.
  • Critical thinking, time management, decision-making, and excellent communication skills; ability to motivate and develop teams effectively.
  • Bachelor's degree in electrical, Electro-mechanical, Industrial, or Mechanical
  • Eligibility Requirement: This position may require access to Controlled Data or Information. Where the position requires such access only US Persons will be considered. As a US Department of Defense contractor, we are bound by International Traffic in Arms Regulations (ITAR).
  • Working conditions are normal for a manufacturing environment
  • Manufacturing operations may require the use of safety equipment to include but not limited to: eye safety glasses, gowning, masks, hearing protectors, heel/wrist straps and any other required PPE
  • May be exposed to unusual environmental conditions such as loud noises, cold temperatures, confined spaces, dust or fumes
  • Schedule will fluctuate depending on the needs of the business
  • Standing: up to 100% *percentage is approximate and may vary depending on work task
  • Sitting: up to 100% *percentage is approximate and may vary depending on work task
  • Lifting (in pounds): up to 25 pounds
  • Pushing (in pounds): up to 25 pounds
  • Mental/Visual: use of computer
  • Workspace (line, cube, etc):work bench
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Principal Engineer - Python API Development

Fidelity Investments

Newark, NJ 07175

~ 29 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
  • 8+ years (typically 10+) building and operating production platforms and services at scale
  • Deep software engineering expertise in Python and distributed systems
  • A track record of building production‑grade services, libraries, and internal platforms
  • Linux fluency and scripting are required
  • Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
  • Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
  • DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
  • Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
  • ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
  • Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
  • Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
  • Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
  • Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
  • Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
  • Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
  • Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
  • Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
  • The base salary range for this position is $107,000-216,000 USD per year.
  • Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
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New Product Manufacturing Engineer

CACI International Inc

Florham Park, NJ 07932

~ 43 min Onsite

  • Ability to work independently with minimal supervision and mentor lower-level professionals.
  • Must be a US person.
  • BA/BS degree in a technical discipline from an accredited college or university.
  • Minimum of five (5) years of experience as a manufacturing engineer or in a related role.
  • Percentage of Travel Required: Up to 10%
  • Type of Travel: Local
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