Engineering Structures Journal Jobs in Bloomfield New Jersey
185 positions found — Page 3
The Food Scientist II reports directly to the Research & Technical Development Lead and plays a critical role in advancing technical platforms, ingredient research, and process feasibility for snack and confectionery products. This role is responsible for developing scalable scientific solutions that support the company’s innovation pipeline. The position focuses on early-stage formulation science, functionality modeling, and technical risk mitigation prior to commercialization handoff.
The Food Scientist operates within the Technical & Research Team and collaborates closely with the Product Development & Commercialization Team during scale-up and launch readiness phases.
Key Responsibilities:
1. Technical Platform Development
· Support the Research & Technical Development Lead in building and optimizing core technology platforms (e.g., probiotic systems, fiber enriched system, sugar reduction system, hydrocolloid systems, protein enhanced system).
· Conduct ingredient functionality studies to understand structure-function relationships.
· Develop reusable technical frameworks that enable multiple pipeline products.
2. Advanced Formulation Science
· Design and optimize complex formulations for snack and confectionery applications.
· Investigate texture stability, moisture migration, hydrolysis risks, glass transition behavior, and shelf-life quality indicator.
· Conduct structured root cause analysis for technical performance issues.
· Translate scientific findings into scalable formulation strategies.
3. Process Feasibility & Risk Mitigation
· Evaluate processing parameters (e.g., heating time, vacuum, Brix, pH, Aw) to ensure technical robustness.
· Identify potential scalability constraints early in development.
· Support pilot-scale validation and collaborate with commercialization teams as needed.
4. Stability Prediction
· Design preliminary accelerated and real-time stability studies.
· Establish quality benchmarks for texture, moisture, color, and API ingredients.
5. Cross-Functional Collaboration
· Partner with Product Development during transition from research to commercialization.
· Provide technical input to embedded analytical and compliance resources.
· Support supplier technical assessments and ingredient validation.
6. Documentation & Technical Governance
· Maintain accurate and complete formulation documentation in designated systems.
· Develop detailed technical reports and risk assessments for internal review.
Qualifications:
· Master’s degree in Food Science, Food Engineering, Chemistry, or related field.
· 2–4+ years of experience in snack and/or confectionery and/or gummy and/or bars of R&D.
· Strong knowledge of hydrocolloids, fiber systems, sugar reduction systems, and moisture control mechanisms.
Duration: 12 Months (Temp to Hire)
Location: Newark, NJ 07102
Job Description:
Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions.
As a Data Scientist on/in the US Businesses PruAdvisors Data Science Team you will partner with Machine Learning Engineers, Data Engineers, Business Leaders and other professionals to build GenAI and ML models to improve advisor experience, perform lead scoring, and increase sales revenue. You will implement AI and machine learning models that will deliver stability, scalability and integration with other advisor products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to deep technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.
Responsibilities:
- 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.
The Skills and expertise you bring:
- 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
Location: Remote
Duration: 8+ months
Marketplace Platform Lead
Job Overview
The Marketplace Platform Lead is responsible for driving the end?to?end technical architecture and implementation of the enterprise Data Marketplace platform. This role spans stakeholder engagement, architectural definition, integration design, and hands-on leadership throughout implementation. The ideal candidate is a seasoned technical leader with deep experience designing integration patterns, building scalable platforms, and guiding engineering teams through complex cross-system solutions.
Key Responsibilities
Lead stakeholder meetings to gather business requirements, align on platform objectives, and clarify workflows and user journeys.
Conduct tool evaluations, build scoring frameworks, and make recommendations on platforms, vendors, and integration technologies.
Define end-to-end Marketplace architecture, including data flows, APIs, domain models, integration strategies, and platform components.
Design and lead the implementation of integration patterns, including API-based integrations, event-driven patterns, workflow orchestration, and cross-system interoperability.
Develop technical designs, architectural documents, and standards for Marketplace workflows, user flows, and extensibility patterns.
Provide hands-on architectural guidance to engineering teams throughout solution design, development, and delivery.
Oversee technical quality, scalability, performance, and security across Marketplace components and integrations.
Collaborate with product, engineering, data, and security teams to ensure compliance with enterprise data governance, privacy, and reliability standards.
Lead technical reviews, drive design decisions, and ensure alignment across cross-functional stakeholders.
Required Skills & Qualifications
8+ years of experience in software engineering, platform development, or technical architecture roles.
Strong expertise in designing and implementing integration architectures, including REST/GraphQL APIs, event-driven patterns, synchronous/asynchronous messaging, and workflow engines.
Deep understanding of distributed systems, microservices, and cloud-native solutions (Azure, AWS, or GCP).
Proficiency with API design, messaging systems, and enterprise integration frameworks.
Experience defining technical architecture, data flows, and workflow designs for complex platforms.
Ability to translate business requirements into technical designs, user flows, and actionable engineering plans.
Demonstrated leadership in guiding engineering teams through architectural decisions and implementation.
Strong communication skills with the ability to influence technical and non-technical partners.
Experience evaluating and scoring platforms, tools, or vendor solutions.
Solid knowledge of DevOps practices, CI/CD, infrastructure-as-code, observability, and security best practices.
Preferred Qualifications
Experience building or leading a Data Marketplace platform.
Familiarity with workflow orchestration platforms, rules engines, BPM tools, or catalog management systems.
Experience with enterprise identity systems (OAuth, SAML, SSO), access governance, and data privacy frameworks.
Background working with enterprise data platforms, data governance, or cross-domain integration patterns.
Prior experience leading architectural governance or serving as a platform architect in an enterprise environment.
This Jobot Job is hosted by: Kirk Morgan
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Salary: $120,000 - $150,000 per year
A bit about us:
A growing defense contractor.
Why join us?
Fantastic benefits, 401K, and PTO plan.
Job Details
Job Details:
We are currently seeking a highly skilled and motivated Permanent Systems Engineer to join our dynamic team. This is an exciting opportunity to work in a fast-paced environment in the Engineering industry, focusing on defense industry projects. The successful candidate will be responsible for overseeing the entire life cycle of system development and implementation, providing technical guidance to the engineering team, and ensuring all projects meet defense industry standards. This role requires a deep understanding of interface control documents, DoD Defense planning manufacturing, VCRM, functional analysis, and the ability to translate requirements into hardware and software specifications. The ability to solve complex problems is a must.
Responsibilities:
1. Oversee the entire life cycle of system development and implementation, ensuring all projects are completed on time and within budget.
2. Provide technical guidance and mentorship to the engineering team, fostering a culture of continuous learning and improvement.
3. Ensure all projects adhere to defense industry standards and best practices.
4. Develop and maintain interface control documents, utilizing your expertise in DoD Defense planning manufacturing and VCRM.
5. Conduct functional analysis and translate requirements into hardware and software specifications, ensuring all system components meet the needs of the end-user.
6. Solve complex problems, utilizing your analytical skills to identify the root cause of issues and develop effective solutions.
7. Collaborate with cross-functional teams, including manufacturing and quality assurance, to ensure the successful delivery of projects.
Qualifications:
1. Bachelor's degree in Engineering, Computer Science, or a related field.
2. Minimum of 5 years of experience in the Engineering industry, with a focus on the defense sector.
3. Extensive experience with interface control documents, DoD Defense planning manufacturing, and VCRM.
4. Proven track record in system development and implementation.
5. Exceptional problem-solving skills, with the ability to think critically and develop effective solutions to complex challenges.
6. Strong knowledge of defense industry standards and best practices.
7. Excellent communication skills, with the ability to provide technical guidance and mentorship to a team.
8. Experience in functional analysis and translating requirements into hardware and software specifications.
9. Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.
10. Must be a team player, with a commitment to continuous learning and improvement.
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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
Duration-: 10+ Months
Location: Remote
Overview
An experienced Solution Architect to lead the enterprise rollout of Microsoft Purview across a complex global, multi cloud environment. The consultant will define architecture, implement domain?based governance, and drive adoption of Purview capabilities including cataloging, lineage, classification, access governance, and compliance controls.
Key Responsibilities
- Architecture & Implementation
- Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
- Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
- Establish Purview reference architecture, integration patterns, and guardrails.
- Domain Based Governance
- Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
- Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
- Platform Configuration
- Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
- Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
- Security & Compliance
- Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
- Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
- Engineering & Integration
- Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
- Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
- Adoption & Stakeholder Management
- Deliver training, onboarding playbooks, and steward enablement.
- Lead workshops for new data domains and products.
- Provide executive level reporting on progress, risks, and KPIs.
Required Qualifications
- 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
- Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
- Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
- Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
- Financial services or regulated industry exposure.
- Excellent communication, stakeholder leadership, and cross domain facilitation skills.
Duration: 6+ months (CTH)
Location: hybrid (Newark, NJ)
Summary
As a Senior Software Engineer on the Retirement Strategies Technology team, you will partner with product owners, tech leads, designers, engineers and delivery professionals to deliver quality platforms and products with speed.? You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.
Here is What You Can Expect on a Typical Day
Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; remove technical impediments??
Develop high quality, well documented and efficient code adhering to all applicable Prudential standards??
Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact?
Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems??
Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day??
Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables.
Use programming languages including but not limited to Java, JavaScript, Springboot, Node.js frameworks?
The Skills & Expertise You Bring:
Bachelor of Computer Science or Engineering or experience in related fields
Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization??
Experience with agile development methodologies and Test-Driven Development (TDD)
Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business
Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges
Excellent problem solving, communication and collaboration skills
Advanced experience and/or expertise with several of the following:
Programming Languages:? Java, Java Script; working in distributed systems, object oriented programming, design patterns and design methodology; JAVA services using Spring,, Microservices, multi-threading, Concurrency and parallel processing
Frameworks:?Springboot, Node.js
Data Store:?NoSQL or Relational Data structures;
Data Streaming:?SQS, SNA
Application Programming Interfaces (API): Consumption & Development; implementing service oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SQL
API Management & Integration : Kong, Apigee
Unit, interface and end user testing?concepts and tooling (functional & non-functional)
Automated testing
Accessibility awareness
Software security skills?including?secure coding, web application security and ; Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service proxies, firewall, SAML 2.0, OpenID Connect, OAuth 2.0)
Dev Ops Tools & Practices: Branching techniques and usage of GitHub; DevOps
Software Development Life Cycle (SDLC): Monitoring and logging techniques
AWS Core Services across compute, storage, DB, IAM
Preferred Qualifications:
Strong experience with Domain Driven Development (DDD)
AWS cloud native solution development
Architecture Patterns
Design and critical Thinking
Financial/Insurance industry experience is a must, not a plus
People Leadership Experience is a plus.
Experience with agentic frameworks and AI driven development tools is a major plus [Claude Code, GitHub Copilot etc]
Location: Newark, NJ (Hybrid)
Duration: 12 Months
Role Overview
Client is seeking a Senior Business Analyst to support the Product Enablement and Contract Automation initiative. This role is focused on enabling automated contract generation by establishing accurate, validated, and structured product data that serves as a single source of truth for Group Insurance product offerings.
The Senior Business Analyst works closely with business, product, and technology partners to translate contract and product intent into clear data, mapping, and process requirements that support integration between AWS Cloud, APIs, and SharePoint and OpenText Content Web Document Services (CWDS).
Key Responsibilities
- Partner with Group Insurance business, product, and technology stakeholders to understand contract automation objectives
- Identify, document, and validate field-level data elements required for automated contract generation
- Create data mapping specifications including transformation rules, validation criteria, and business logic
- Leverage AI-assisted tooling to accelerate data discovery, mapping analysis, and documentation
- Facilitate working sessions with business partners to validate data definitions, mappings, and contract logic
- Document end-to-end document generation workflows, including system interactions and exception handling
- Translate validated requirements into consumable artifacts for engineering and quality teams
- Support User Acceptance Testing (UAT) and implementation readiness activities
- Communicate risks, dependencies, and decisions across cross-functional teams
Required Qualifications
- 5+ years of experience as a Business Analyst or Business Systems Analyst
- Strong experience with data mapping, data validation, and integration-driven solutions
- Proven ability to validate requirements and outcomes with business partners
- Strong analytical, facilitation, and communication skills
Preferred Qualifications
- Experience supporting contract automation or document generation initiatives
- Familiarity with AWS Cloud, APIs, and SharePoint, document management, or content services platforms
- Experience leveraging AI tools to support analysis and requirements documentation
About the Company:
At Lincoln Electric Products Co., Inc., we specialize in the design, manufacture, and distribution of custom equipment tailored to meet the specific applications and requirements of our customers.
Our product range includes:
- Panelboards: Up to 2000A
- Service and Distribution Switchboards: Up to 8000A
- Generator Connection Boxes
- Generator Output Switchboards
- Single and Double-Ended Substations
We pride ourselves on delivering high-quality, custom-designed solutions that address the unique needs of our clients across various industries.
We are in search of a Manufacturing Engineer. The ideal candidate possesses both a high level of technical expertise and an innate passion to build. You will play a critical role in creating and refining processes to improve manufacturing safety, quality, and productivity.
Responsibilities
- Develop and improve manufacturing processes for the assembly of panelboards, switchgear, bus systems, wiring harnesses, and control panels.
- Create and maintain work instructions, assembly procedures, process flows, and manufacturing documentation.
- Support design-for-manufacturability (DFM) and collaborate with Engineering on new product introductions (NPI).
- Analyze production workflows to identify bottlenecks and implement process improvements.
- Develop and maintain BOM accuracy, routings, labor standards, and production fixtures.
- Implement lean manufacturing practices, including 5S, Kaizen events, standardized work, and waste reduction.
- Troubleshoot manufacturing issues, including electrical assembly, wiring, bus bar fabrication, and enclosure modifications.
- Evaluate and specify tools, equipment, jigs, and fixtures required for efficient assembly.
- Support quality assurance activities such as root-cause analysis (RCA), corrective actions (CAPA), and continuous improvement.
- Train production personnel on updated processes, tools, and best practices.
- Collaborate with suppliers to improve material quality and manufacturability.
- Ensure compliance with UL, NEC, OSHA, and company safety standards.
Qualifications
Required
- Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, or related field.
- 3+ years of experience in manufacturing engineering, preferably in electrical equipment, switchgear, panelboards, or industrial equipment assembly.
- Strong understanding of electrical components: breakers, contactors, relays, transformers, bus bars, metering devices, and control wiring.
- Experience reading and interpreting electrical schematics, one-lines, wiring diagrams, and mechanical drawings.
- Proficiency with CAD tools (AutoCAD, SolidWorks, or similar).
- Hands-on experience with Lean Manufacturing and continuous improvement.
- Strong analytical, troubleshooting, and problem-solving skills.
Preferred
- Experience with UL508A, UL67, UL891, and NEC standards.
- Knowledge of ERP/MRP systems for BOMs and routings.
- Experience in a high-mix, low-volume manufacturing environment.
- Knowledge of CNC fabrication, punch/laser processes, or enclosure manufacturing
Project Engineer:
Handles various aspects of engineering projects, ensuring they are completed on time, within budget, and according to specifications. Below is a breakdown of common job roles and responsibilities for a Project Engineer:
1. Project Planning and Coordination Develop and define project goals, timelines, and resources. Coordinate with cross-functional teams (engineering design, procurement, production.). Plan and monitor project schedules, deliverables, and milestones.
2. Technical Support and Expertise Provide technical expertise and support throughout the project lifecycle. Ensure engineering designs meet required standards and specifications. Resolve technical issues that arise during the project.
3. Budgeting and Cost Control Estimate project costs and allocate budgets for various tasks. Track expenses to ensure the project stays within budget. Identify potential cost-saving opportunities.
4. Procurement and Vendor Management Oversee procurement processes, ensuring timely and cost-effective purchasing. Manage relationships with suppliers and contractors to ensure quality and adherence to project timelines.
5. Risk Management Identify potential risks and develop strategies to mitigate them. Monitor project progress and adjust plans to address issues or delays. Conduct safety audits and ensure compliance with relevant regulations.
6. Communication and Reporting Act as a liaison between various stakeholders (clients, team members, management). Provide regular updates and reports to senior management. Ensure effective communication across all departments involved in the project.
7. Quality Control and Assurance Ensure that all engineering work meets the required quality standards.
8. Project Documentation Maintain comprehensive project documentation (drawings, schedules, contracts). Ensure all necessary approvals and permits are in place.
9. Project Closeout Oversee the completion and handover of the project. Ensure all contractual obligations are met. Conduct post-project evaluations to identify areas for improvement. Make sure project is collected in full.
Key Skills for a Project Engineer:
Strong problem-solving abilities.
Excellent communication and teamwork skills.
Knowledge of project management tools (e.g., MS Project, ).
Understanding of engineering principles and standards.
Budgeting and cost management experience.
Ability to manage multiple tasks simultaneously and work under pressure.
Job Type:
Full-time Benefits:
401(k)
Dental insurance
Health insurance
Paid time off