Engineering Jobs in Elizabeth

School Bus & Fleet Mechanic (Class A/B/C) Belair Services – Orange, NJ Salary: Up to $100,000 per year (based on experience) Sign-On Bonus: $1,000 Belair Services is currently hiring experienced School Bus and Fleet Mechanics in Orange, New Jersey .

We are seeking a Class A, B, or C Mechanic with strong experience in light and medium-duty fleet vehicles , diesel and gasoline systems, and preventive maintenance.

This role is ideal for technicians with fleet maintenance, school bus repair, diagnostic troubleshooting, and electrical system experience .

ASE certification is recommended.

MUST HAVE 3 years of experience as a Light or Medium Duty Fleet Mechanic Compensation & Benefits Earn up to $100,000 per year (dependent on experience and expertise) $1,000 sign-on bonus Medical benefits available 401(k) retirement plan participation $500 employee referral bonus Paid vacation Paid sick leave Paid time off (PTO) Growth and advancement opportunities Clean and safe work environment Company-paid certification training and classes Supportive and energetic team atmosphere Job Summary The Fleet Mechanic / School Bus Mechanic is responsible for preventive maintenance, diagnostics, and repairs on light and medium-duty fleet vehicles and school buses .

The technician will troubleshoot mechanical and drivability issues, perform inspections, and assist other technicians when necessary.

This role requires strong mechanical skills, knowledge of diesel and gasoline engines , and familiarity with DOT inspection procedures for school buses (preferred).

Key Responsibilities Vehicle Diagnostics & Repairs Diagnose mechanical malfunctions and perform vehicle repairs on fleet vehicles and school buses.

Inspect, test, adjust, and repair systems including: Steering systems Electrical systems Cooling systems Lubrication systems Brake systems Drivetrains Suspensions Power steering units Clutches Transmissions Engine components Temperature and fuel regulation systems Perform engine adjustments, testing, and rebuilds when required.

Preventive Maintenance Perform preventive maintenance inspections (PMIs) on fleet vehicles.

Ensure vehicles meet federal, state, and local safety regulations .

Assist with DOT inspection procedures for school buses.

Repair Oversight & Documentation Obtain proper approval for major repairs before releasing vehicles.

Record time spent, parts used, and services performed.

Identify additional maintenance needs and escalate repairs when necessary.

Fleet Support Perform road calls and roadside repairs when required.

Assist and guide other technicians on complex repairs.

Maintain a clean, organized, and safe work area .

Team & Work Ethic Work independently with minimal supervision.

Demonstrate strong troubleshooting and decision-making skills.

Continuously develop mechanical knowledge and technical skills.

Minimum Requirements 3 years of experience as a Light or Medium Duty Fleet Mechanic Experience working on fleet trucks, buses, or commercial vehicles Must qualify as a Class A, B, or C Mechanic Strong diagnostic, electrical, and A/C repair skills Technical knowledge of diesel engines and gasoline systems Ability to perform preventive maintenance and complex repairs Must possess basic hand tools required for the job Valid state driver’s license ( CDL preferred ) Ability to perform road service and emergency repairs Ability to work flexible schedules when required Must be 21 years of age or older Preferred Qualifications ASE Certification School bus maintenance experience Familiarity with DOT inspection standards Advanced diagnostics and electrical troubleshooting Experience with internal engine and transmission repairs Work Environment Clean and safe maintenance facility Collaborative team environment Ongoing training and certification support Opportunities for long-term career growth ​

Kelly Science and Clinical FSP is currently seeking a R&D Support Specialist for a long-term engagement in the US with one of our clients in Summit, New Jersey. This is a hybrid position with 3 days on site weekly.

This person will join our Kelly FSP (Functional Service Provider) division, a managed solution provider and business unit of Kelly Services, Inc. This role is full-time and is offering full benefit options. As a Kelly FSP employee you may be eligible for Medical, Dental, Vision, 401K and a variety of other benefits to choose from. You may also be eligible for paid time off, including holiday, vacation, and sick/personal time.

Fraudulent Applications: All information provided during the application process will be verified. Misrepresentation of credentials, identity fraud, or use of proxy interviewers will result in immediate disqualification and may be reported to appropriate authorities.

Position Overview:

The R&D Support Specialist role provides comprehensive administrative and operational support for the FEI/Skin Health team, focusing on supplier engagement, financial oversight, and talent acquisition processes. The ideal candidate will play a pivotal role in ensuring smooth procurement, accurate budget and invoice management, and effective coordination of onboarding and recruitment activities.

Key Responsibilities:

Supplier Approval and Onboarding Support:

• Coordinate with new suppliers to ensure timely completion of onboarding documents and compliance forms.
• Serve as a point of contact for suppliers during the approval process, answering queries and resolving issues.
• Maintain detailed records of supplier approvals and contracts – liaise with procurement as needed

Contracting and Purchase Order Management:

• Support the drafting, review, and processing of supplier contracts in collaboration with internal legal and procurement teams.
• Create and manage purchase orders, ensuring proper coding and authorization according to company policies.
• Monitor and follow up on outstanding contracts, PO status, and renewals.

Financial Administration and Tracking:

• Collaborate with team leads to maintain the FEI budget within financial management tools.
• Track quarterly invoicing, budget allocations, and identify discrepancies for prompt resolution.
• Prepare routine financial reports and dashboards for management review.

Talent Acquisition Support:

• Assist HR and hiring managers with job postings, resume screening, and interview scheduling.
• Organize panel interviews, coordinate feedback collection, and support onboarding logistics for new hires.

General Administrative Support:

• Handle ad-hoc tasks as needed, including meeting coordination, document preparation, and other operational requests.

Education Requirements:

• Bachelor’s degree or applicable experience in lieu of degree (Business Administration, Finance, Human Resources, Supply Chain Management, or a related field)
• Advanced degree or relevant certifications (e.g., Certified Administrative Professional, SHRM-CP) a plus.

Experience Requirements:

• 2-4 years of experience in administrative support, procurement, contract management, or financial operations (preferably within a corporate or innovation environment).
• Experience with financial management software and procurement tools required; familiarity with PO processes, system management.
• Prior experience supporting HR/talent acquisition functions is an asset.

Desired Skills and Qualities:

• Excellent organizational and communication skills.
• High attention to detail and accuracy in financial documentation.
• Ability to manage multiple priorities and deadlines in a fast-paced environment.
• Proactive attitude – eager to act with urgency to resolve issues, maintain smooth processes, and provide top-tier support to all internal groups.
• Strong teamwork and problem-solving orientation.
• Proficiency in Microsoft Office Suite (Excel, Outlook, Word); experience with SharePoint and procurement platforms preferred.

Title : Packaging Engineer

Location : Clark, NJ (Hybrid Role)

Direct Client

Job Description:

JOB PURPOSE

This role will manage transversal PPD development projects including strategic catalog maintenance updates, plant transfers, and new product launches. The position is designed to provide short-term coverage for maternity leave (7 months) with potential opportunity to manage a full product launch from start to finish. The ideal candidate is a seasoned developer with strong leadership skills, strategic agility, and preferably prior client experience.

RESPONSIBILITIES

• Develop and manage project timelines, identifying key tasks and milestones to ensure on-time launches in compliance with client's Quality systems
• Present launch and transversal project reviews; escalate risks to operational and divisional leadership
• Guide Marketing in new innovation briefs to ensure design aligns with Agility, Profitability, and client For the Future (L4TF) initiatives
• Engage Operations and cross-functional stakeholders for project ownership
• Lead project review meetings and resolve roadblocks impacting progress
• Analyze launch viability in terms of cost, timeline, and sustainability
• Drive risk assessment with Operations and R&I partners; track mitigation plans and secure backup options
• Partner with Marketing, Operations, and R&I on harmonization, profitability, and sustainability initiatives
• Manage plant transfers and coordinate feasibility costs, COG analysis, and value analysis support
• Research and develop packaging components; coordinate with R&D
• Provide development support to team members, including guidance on feasibility costing and aesthetic choices
• Coordinate meetings, prepare minutes, and follow up on action items

QUALIFICATIONS

• Bachelor’s degree in Packaging Engineering, Operations, or related technical discipline required
• Minimum 7 years of experience in package/product development and project management (cosmetics, consumer goods, or related field preferred)
• Technical packaging experience a plus
• Experience developing products for global markets preferred
• Strong leadership, organizational, and communication skills
• Ability to inspire and motivate teams to move projects forward
• Collaborative, team-oriented, and able to build strong cross-functional relationships
• Proficient in Microsoft 365
• Must be onsite as this is an essential function of the position

PREFERRED EXPERIENCE

• Prior client experience strongly preferred (contractor or ex-employee, subject to HR approval)
• Experience managing product launches end-to-end
• Familiarity with systems and processes (Wildware, QCP, etc.)

The City of Newark is seeking an experienced and qualified Land Surveyor to serve within the Department of Engineering as the Municipal Land Surveyor.

Under direction, the incumbent is responsible for managing and maintaining the City’s official tax maps, property records, and survey data, while providing technical and administrative support to engineering, planning and zoning, property management, public infrastructure, and legal functions.

Work is primarily performed in an office setting with field assignments as required

Hands-On Product Manager — AI-Native Recruiting Platform (HireHQ)

Build the AI operating system for recruiting.

HireHQ is building the next generation AI-native recruiting platform — one that eliminates manual recruiter workflows and replaces them with intelligent automation, AI copilots, and decision intelligence.

Traditional ATS platforms were built for record keeping.

HireHQ is building a recruiting operating system that helps companies find, evaluate, and hire the best talent faster.

We are looking for a highly hands-on Product Manager who can help design and ship this future.

This is not a traditional PM role. You won’t just write tickets and manage roadmaps.

You will:

• Prototype product ideas yourself
• Use AI tools to rapidly build concepts
• Work directly with engineers
• Drive automation across recruiting workflows
• Ship AI-native features quickly

If you like building products at the intersection of AI, automation, and recruiting, you’ll thrive here.

What You'll Work On

You’ll help build core capabilities of the HireHQ recruiting platform, including:

AI Candidate Discovery

• AI-powered candidate search
• Intelligent candidate matching
• Automated candidate enrichment
• Talent graph and candidate insights

AI Screening & Evaluation

• Resume and profile understanding
• AI candidate scoring and ranking
• Interview intelligence and summarization
• Automated screening workflows

Recruiter Copilots

• AI recruiter assistants
• Automated outreach generation
• Pipeline prioritization
• Smart next-action recommendations

Candidate Experience

• AI-powered communication
• Automated follow-ups
• Interview scheduling automation
• Candidate journey insights

Recruiting Automation

• Workflow orchestration across the hiring pipeline
• Intelligent routing and task automation
• AI-driven pipeline management
• Recruiter productivity tools

Our goal is simple:

Reduce manual recruiting work by 80% while improving hiring outcomes.

What You'll Actually Do

You will operate like a product builder.

Ship Products

• Own product areas end-to-end
• Work directly with engineers to design solutions
• Move from idea → prototype → shipped feature quickly

Prototype With AI

You’ll actively use tools like:

• Cursor
• GitHub Copilot
• Claude
• ChatGPT
• Figma

to rapidly create:

• product mockups
• workflows
• prototypes
• PRDs
• user stories
• experimentation plans

We expect PMs to use AI as a force multiplier, not just write docs.

Design AI-Native Workflows

You'll help design product systems that use:

• LLMs
• semantic search
• embeddings
• candidate matching
• summarization
• automation engines

to eliminate manual recruiting work.

Drive Automation

You will constantly ask:

"Why is a human doing this?"

Then build systems that automate it.

Work Extremely Closely With Engineering

You will collaborate daily with engineers to:

• shape product architecture
• refine technical tradeoffs
• ship features quickly
• iterate with real customer feedback

What We're Looking For

Experience

• 5+ years in product management
• Experience building recruiting or HR tech products

Examples include:

• Applicant Tracking Systems (ATS)
• Recruiting CRM platforms
• Candidate engagement tools
• Talent sourcing platforms
• Interview platforms
• Talent intelligence platforms

You deeply understand how recruiting actually works.

AI Product Thinking

You’ve helped build or design AI-enabled product capabilities, such as:

• candidate matching
• screening automation
• workflow automation
• recommendation systems
• AI copilots
• search and ranking systems

Builder Mindset

You like creating things, not just planning them.

You are comfortable:

• prototyping ideas
• creating workflows
• building product concepts independently
• using AI tools to accelerate execution

Comfort With Ambiguity

This is a startup environment.

You should enjoy:

• fast iteration
• unclear problems
• ownership
• shipping quickly

Strong Candidates Often

• Previously worked at HR tech or recruiting tech companies
• Have built ATS or recruiting workflow products
• Use AI tools daily for product development
• Think about automation and workflow intelligence
• Care deeply about shipping useful products quickly

What Success Looks Like

Within your first 3 months:

• Recruiters using HireHQ spend dramatically less time on manual tasks
• AI features automate key recruiting workflows
• Customers rely on AI insights to prioritize candidates
• Recruiters move from administrative work → strategic hiring

Why This Role Is Different

Most recruiting software was designed 15–20 years ago.

HireHQ is rebuilding recruiting software from the ground up using:

• AI agents
• workflow automation
• intelligent candidate matching
• recruiter copilots

This role is an opportunity to help build the AI operating system for hiring.

• 
  
• Build and maintain data pipelines that collect, store, and transform data to support analytics use cases and business outcomes.
  
• Implement data ingestion and transformation workflows in Microsoft Fabric, using Fabric-native capabilities such as notebooks, pipelines, and lakehouse patterns.
  
• Develop and operationalize data solutions across lakehouse layers (e.g., landing and standardized "Bronze" data through curated "Silver/Gold" outputs) aligned to the platform's workspace architecture and OneLake design.
  
• Ensure data solutions are reliable and supportable by incorporating monitoring, issue resolution, and ongoing enhancements to pipelines and datasets.
  
• Collaborate across teams (engineering, analytics, product, and stakeholders) to translate data needs into scalable, reusable solutions and improved workflow efficiency.
  
• Support secure and appropriate use of Fabric assets by following established access and workspace practices.
  

• 
  
• Oversees a team of personnel focused on technical issues, including software development, testing, and engineering tasks
  
• Coordinate with the scrum master and other stakeholders to delegate work assignments
  
• Analyze requirements, conduct story refinement, and develop technical solutions
  
• Provide expert knowledge in front-end technologies such as React and Angular
  
• Construct complex back-end logic in .NET and SQL
  
• Conduct code reviews and guide the team as needed
  
• Strong knowledge of Agile-Scrum principles
  
• Ability to use AI tools such as Claude Code
  

• 
  
• Develop high quality, well documented engineering configuration and infrastructure solutions that adhere to all applicable clients security standards
  
• Ensure product and infrastructure security is maintained throughout the system lifecycle, integrating new security features, patches, and updates into existing environments
  
• Collaborate with tech leads in understanding system requirements, defining stories, creation of technical designs, and deployment of solutions
  
• Support engineering and other team members to understand systems end-to-end and deliver robust solutions that support positive business impact
  
• Write scripts and automation code to support areas such as operational excellence, production validation, and security for our Windows servers and identity infrastructure platform
  
• Research problems discovered internally or by stakeholders and consumers, ideate and develop solutions to mitigate without negative impact to the business
  
• Bring an applied understanding of relevant and emerging technologies, begin to identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day
  
• Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors
  
• Use programming languages including but not limited to PowerShell, Terraform, ARM templates, etc.
  

• 
  
• Infrastructure: Hyper-V and Windows Server Operating systems
  
• Observability: System Center Operations Manager (SCOM) / Azure Monitoring
  
• Configuration: System Center Configuration Manager (SCCM) / Azure Arc
  
• Identity: Active Directory Domain Services (AD DS) / Microsoft Entra ID
  
• Automation: PowerShell, Infrastructure and Configuration as Code (e.g. Chef, Ansible)
  
• Databases: SQL Server
  

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL