The Jacobs Group Structural Engineering Jobs in Usa

Director - Data Center Engineering & Consultancy

(candidate must be based and eligible to work in Texas,Unites States)

We are partnering with a globally recognised engineering and infrastructure platform with deep expertise in the design and delivery of mission-critical digital infrastructures.

They are currently seeking a Director of Data Center Engineering & Consultancy to lead design and advisory engagements while supporting the delivery of complex data center projects across international markets, with a strong focus on the US.

The role combines technical leadership with commercial involvement, including advising clients on data centre design and best practices, leading multidisciplinary project teams, and supporting business development through proposals, RFP responses, and client engagement.

You’ll be joining a business known for its deep engineering expertise and hands-on approach to delivering resilient, high-performance digital infrastructure.

Interested? Drop me a message or send your CV to

Recruiter/Sourcer- Engineering

Contract: 6+ Months

Pay rate: W2 hourly with medical benefits

Onsite 5 days/week- Overland Park, KS

Manager Notes:

I am looking for an experienced sourcer or recruiter with a passion for sourcing and experience recruiting and/or sourcing hard-to-fill niche roles. Someone with experience working on engineering roles is a plus.

Skills sourcing outside of LinkedIn and developing sourcing strategies is highly preferred. We want someone who can get creative. We will be giving them a LI recruiter seat.

We are looking for someone with a sales and marketing mindset who can “sell” career opportunities to passive candidates via email, phone, and various social media platforms.

I am looking for someone who stays up to date on sourcing techniques and enjoys continuous learning in this space.

Key Responsibilities:

Consult and conduct recruitment strategy meetings with talent acquisition partners to understand gaps in recruiting efforts and needs

Build long term relationships with top talent for current and future career opportunities

Implement and execute strategic recruitment techniques for high volume, aged and hard to fill positions

Use innovative sourcing techniques and leverage technology to find active and passive candidates

Build strong partnerships with recruiters to develop plans for key staffing initiatives

Post and maintain quality job descriptions and advertisements for open positions, ensuring consistency across all postings

Source candidates through creative social media tools and developing robust networking avenues

Initiate contact with passive candidates for openings and maintaining candidate pipelines

Utilize internal applicant tracking system to review applications and maintain candidate progress

Recognize and assist with any situation within our business that can be assisted with HR support

Researching market conditions and industry trends as they relate to our competitors to assist in decision-making and marketing positions.

Using industry knowledge, social media sources, Technical Operations, and mission-focused knowledge to seek out potential candidates that may be currently employed at peer/competitor companies, and successfully identify candidates

Skills: Preferred Qualifications:

Comfortable monitoring key metrics and making data driven decisions in respect to adjusting recruitment or sourcing strategies

Extensive data mining of various social media to identify candidate profiles.

Utilizing professional networks to source candidates

Bachelor's Degree is preferred

Recruiting experience, preferably in engineering or technical roles but open to other experiences also

Full Life Cycle Recruiting, managing hiring manager relationships

Keywords:

Education: Minimum Qualifications:

3+ years of talent sourcing and/or full-cycle recruiting experience, preferably specializing in the recruitment of engineers within the domains of water, wastewater treatment plants, utilities, power generation, storage, transmission, and/or distribution. Candidates with a background in technical recruitment or other recruitment specializations may also be considered. Agency recruitment background is a plus.

Ability to quickly learn candidate profiles and identify and source candidates outside of job boards and LinkedIn using boolean techniques including X-ray searching in a fast-paced changing environment. Experience designing recruiting strategies a plus

Ability to identify and source candidates outside of job boards and LinkedIn using boolean techniques including X-ray searching preferred.

All applicants must be able to complete pre-employment onboarding requirements (if selected) which may include any/all of the following: criminal/civil background check, drug screen, and motor vehicle records search, in compliance with any applicable laws and regulations

Local to Bay area

1 day onsite @ Oakland office.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and "know what they are talking about."

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

Role and scope

Titles vary across industry: product owner (PO), project manager, scrum master, TPM; at PG&E, similar roles may be labeled "product managers."

Not seeking a pure scrum master or a typical external-facing PO who only writes requirements.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and "know what they are talking about."

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

We are seeking a talented individual to support new product development for high current and voltage power conversion and Motor Control Center products. This role offers an opportunity to work in the vibrant city of Milwaukee, WI, known for its rich history, cultural attractions, and thriving industrial sector.

The successful candidate will be responsible for creating and updating CAD drawings from engineering sketches or notes, suggesting design improvements for manufacturability, ensuring drawings meet project standards, and maintaining ECN/ECR documentation following established procedures. This position involves working closely with engineers and peers to exchange and present information, while reporting to the local Development Engineering Manager. The role also includes overseeing the application, conception, creation, release, and support for industrial power control products, ensuring they meet company and industry standards for quality, safety, and reliability, all while optimizing cost and manufacturability.

Key Responsibilities:

• Develop CAD drawings and collaborate with a team on design activities.
• Participate in new product development for high current and voltage power conversion and Motor Control Center products.
• Ensure all drawings meet project standards and maintain ECN/ECR documentation.
• Work with engineers and project managers to present and exchange information.

Qualifications:

• Minimum of 3 years of relevant mechanical CAD software (CREO, Pro/E, AutoCAD) design experience.
• Proficient in manipulating large assemblies (>200 components).
• Ability to read and interpret engineering drawings and documentation.
• Experience with power distribution equipment for 240-690V AC systems.
• Pro-E CAD modeling experience.
• SAP software experience.
• A working knowledge of production part processes: sheet-metal, plastic forming, and machining manufacturing methods.

JOB SUMMARY

The Engineering Intern will have the opportunity to drive a Research & Development Project, to be decided by the Engineering Manager. The ideal candidate will think logically and enjoy solving problems with creativity, diligence, and achievement. Arcmed offers a great work environment, professional development, challenging careers, and competitive compensation packages.

Our Strategy and Purpose

• We provide technology and supply chain solutions for the design and manufacture of precise fluid handling components for diagnostic and analytical instruments.
• We improve patient outcomes by helping solve the world’s toughest diagnostic and analytical challenges.
• We will be the recognized leader in helping engineers, scientists, and doctors to solve the world’s toughest diagnostic and analytical challenges.
• We always act with intention and drive to achieve our purpose.
• Teamwork, collaboration, and diverse opinions make us stronger.
• We are unafraid to make timely decisions, and we empower our people to make decisions, execute them, and move forward.
• We value people and take the initiative and hold themselves accountable.
• Challenging the status quo helps us grow. Look for and call out improvements.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Modify and improve critical components and program PLC for draw down process upgrades.
• Collaborate with the manifold team to assist with design, programming, and fabrication of CNC-milled components for diffusion bonding.
• Study the existing products to gain an understanding of how Arcmed supports industry.
• Work with internal stakeholders to determine areas of improvement.
• Merge the functional intent of the product with various upgrades to create a project proposal.
• Drive project proposal to a Go/No-Go decision.
• Deliver final presentation to Board of Directors outlining project efforts, results, and lessons learned.

Health & Safety:

• Report and take required action regarding injuries, incidents, medical, and accidents required by policy.
• Make the health, safety, protection of rights, and the development of all employees your primary responsibilities.
• Effectively manage medical and first aid emergencies.
• Follow all agency safety/medical-related policies and procedures.
• Follow fire evacuation and disaster procedures correctly and on time.
• Report unsafe situations immediately; ensuring safety is imperative.
• Ensure pertinent emergency telephone numbers are readily available.
• Report symptoms and signs of communicable diseases immediately.
• Consistently use universal precautions.
• Report any incident that could potentially result in negative reactions from the community, law enforcement officers, and other agencies to the supervisor immediately.

EDUCATIONAL REQUIREMENTS, QUALIFICATIONS, and TRAININGS

• Currently enrolled in an Engineering program.
• Engineering degree, Mechanical or Electrical preferred.
• Recommended to be a Junior or Senior with experience in Product Design and Manufacturing.
• Interpersonal skills.

COMPUTER AND SOFTWARE REQUIREMENTS

• Microsoft: Office 365; SharePoint; Teams; Visio; and OneNote preferred.
• Experience with CAD software (preferably SolidWorks)
• Ability to operate media equipment such as tablets, smartphones, and other electronic equipment.
• Ability to work with general office equipment.
• Ability to work with and understand databases is a must, and the ability to learn technical skills.

PHYSICAL REQUIREMENTS & WORK ENVIRONMENT

• Shall have essential physical skills; be able to run, squat, stoop/bend, kneel, climb stairs, and lift at least 50 pounds (or ¼ own body weight).
• Shall have adequate vision, reading, writing, and documentation skills, and hearing to perform the essential functions of the job.
• Must have enough endurance to perform tasks over long periods of time.
• Will be engaged in speaking, sitting, walking, driving, listening, and in communicating both orally and in writing while performing his or her duties.
• Must be able to listen and respond to questions and instructions.

The qualifications, physical demands, and work environment described herein are representative of those an employee will encounter and must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.

Arcmed is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This document does not create an employment contract, implied or otherwise, other than an "at will" relationship.

The above-noted job description is not intended to describe in detail the variety of tasks that may be assigned, but rather to give the incumbent a general sense of the responsibilities and expectations of their position. As the nature of business demands change, so, too, may the essential functions of this position.

With a passion for life

Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers - and to save more lives, we need team players, forward thinkers, and game changers.

Are you looking for an inspiring career? You just found it.

Job Responsibilities and Essential Duties

• 
  
• Lead and govern design-related CAPA activities across the R&D organization, ensuring timely, compliant, and effective resolution of complex design, verification, validation, and product performance issues.
  
• Oversee and review root cause investigations using rigorous, data-driven problem-solving methodologies, and ensure corrective and preventive actions are appropriately scoped, risk-based, sustainable, and effectively linked to design controls, risk management, and product lifecycle processes.
  
• Ensure CAPA records and documentation are complete, accurate, and audit-ready, in compliance with FDA regulations, ISO 13485, and internal quality system requirements.
  
• Manage and develop the R&D CAPA team, including setting expectations, prioritizing
  
• workload, providing technical direction, and coaching CAPA specialists and engineers.
  
• Provide technical guidance, coaching, and mentorship to R&D engineers and CAPA owners on CAPA processes, best practices, timeline development, SOP adherence, and effectiveness verification planning.
  
• Serve as the primary R&D CAPA interface with Quality, Regulatory Affairs, Operations, and other cross-functional partners to address systemic and cross-product issues.
  
• Review and approve CAPA plans, timelines, effectiveness verification strategies, and closure rationales to ensure regulatory robustness and high-quality outcomes.
  
• Support internal and external audits, inspections, and assessments by providing CAPA documentation (e.g., CAPA storyboards), investigation rationale, and subject matter expertise.
  
• Act as a CAPA subject matter expert within the R&D organization, driving continuous improvement in CAPA execution quality and consistency.
  

Minimum Requirements

• 
  
• Bachelor's degree in Engineering or related technical field; advanced degree preferred.
  
• 6+ years of experience in R&D within a medical device organization with at least 5 years of CAPA processes and regulatory compliance requirements (FDA, ISO 13485).
  
• 2+ years of leadership experience managing engineering teams.
  
• Proven experience in managing CAPA for design and development activities
  

Required Knowledge, Skills and Abilities

• 
  
• Expert-level understanding of CAPA methodologies, root cause analysis tools (Fishbone, 5 Whys, FMEA), and risk management.
  
• Strong leadership and team management skills with ability to influence and drive accountability.
  
• Excellent analytical and problem-solving abilities with attention to detail.
  
• Effective communication and presentation skills for all organizational levels.
  
• Experience with drafting statistically sound sampling plans & acceptance criteria for measuring Effectiveness of implemented actions.
  
• Proficiency in documentation and electronic CAPA systems, Trackwise preferred.
  
• Deep knowledge of medical device regulations and design control requirements.
  

Salary range: $145k - $175k

#LI-LG1

About us

With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries.

Benefits at Getinge:

At Getinge, we offer a comprehensive benefits package, which includes:

• 
  
• Health, Dental, and Vision insurance benefits
  
• 401k plan with company match
  
• Paid Time Off
  
• Wellness initiative & Health Assistance Resources
  
• Life Insurance
  
• Short and Long Term Disability Benefits
  
• Health and Dependent Care Flexible Spending Accounts
  
• Commuter Benefits
  
• Parental and Caregiver Leave
  
• Tuition Reimbursement
  

Getinge is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, disability, protected veteran status or any other characteristic protected by law.Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion: