GCP Engineer
Houston, TX · On-site +1
Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery. Work you'll do As a GCP Engineer on the AI & Data team, you ...
GCP Engineer
Houston, TX · On-site +1
Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery. Work you'll do As a GCP Engineer on the AI & Data team, you ...
Mechanical Designer II - remote
Houston, TX · On-site +1
$40 - $45/hr
Collaborate with engineering, manufacturing, and project management teams to ensure design meets ... Experience with PDM and part creation. * Strong understanding of mechanical systems, materials, and ...
Mechanical Designer II - remote
Houston, TX · On-site +1
$40 - $45/hr
Collaborate with engineering, manufacturing, and project management teams to ensure design meets ... Experience with PDM and part creation. * Strong understanding of mechanical systems, materials, and ...
... PDM analytics, CEMS monitoring. * Promotes and ensures a safe work environment, including use of ... Triage developing issues to appropriate plant/engineering contacts and advise course of action ...
... PDM analytics, CEMS monitoring. * Promotes and ensures a safe work environment, including use of ... Triage developing issues to appropriate plant/engineering contacts and advise course of action ...
This role is offered remote (US home office) with up to 30% travel expected across the US for ... Interest and familiarity with adjacent manufacturing technologies - CAD/CAM/MES/PDM/PLM/ERP * ...
New
This role is offered remote (US home office) with up to 30% travel expected across the US for ... Interest and familiarity with adjacent manufacturing technologies - CAD/CAM/MES/PDM/PLM/ERP * ...
New
Remote Pdm Engineer information
What is a Remote PDM Engineer?
A Remote PDM Engineer is a professional who specializes in Product Data Management (PDM) systems and supports their implementation, maintenance, and optimization from a remote location. They help organizations manage product-related data, such as design documents, CAD files, and engineering change orders, ensuring data integrity and efficient workflow processes. Remote PDM Engineers often collaborate with cross-functional teams to streamline product development, troubleshoot issues, and customize PDM solutions to meet business needs. Their remote role allows them to work effectively with distributed teams and leverage cloud-based PDM tools.
What is the difference between Remote Pdm Engineer vs Mechanical Design Engineer?
| Aspect | Remote Pdm Engineer | Mechanical Design Engineer |
|---|---|---|
| Credentials | Bachelor's in Engineering, PDM/PLM certifications | Bachelor's or Master's in Mechanical Engineering, CAD certifications |
| Work Environment | Remote, collaborative with engineering teams | On-site or hybrid, design studios or manufacturing facilities |
| Industry Usage | Product lifecycle management, engineering software companies | Manufacturing, automotive, aerospace industries |
| Common Search Intent | Remote Pdm Engineer vs Mechanical Design Engineer |
The main difference between a Remote Pdm Engineer and a Mechanical Design Engineer lies in their focus areas. The Remote Pdm Engineer specializes in product data management and PLM systems, often working remotely to coordinate product information. In contrast, the Mechanical Design Engineer focuses on creating and testing mechanical components, typically working on-site or in hybrid settings. Both roles require engineering credentials, but their work environments and industry applications differ significantly.
What are the key skills and qualifications needed to thrive as a Remote PDM Engineer?
To thrive as a Remote PDM Engineer, you need a solid background in product data management, engineering principles, and experience with configuration management, often supported by a degree in engineering or a related field. Familiarity with PDM/PLM systems such as Siemens Teamcenter, Dassault ENOVIA, or Autodesk Vault, and certifications in these platforms, are typically important. Strong problem-solving skills, self-motivation, and effective remote communication are critical soft skills for collaborating with global teams. These skills ensure accurate product data control, efficient workflow management, and seamless collaboration across distributed engineering teams.
How does a Remote PDM Engineer typically collaborate with cross-functional teams to ensure effective product data management?
As a Remote PDM Engineer, collaboration with cross-functional teams such as design, engineering, manufacturing, and IT is essential for maintaining accurate and accessible product data. This is often achieved through regular virtual meetings, shared project management tools, and centralized PDM software platforms. Effective communication skills and proactive documentation are critical, as you will coordinate data releases, resolve discrepancies, and support change management processes. These collaborative efforts ensure that all stakeholders have up-to-date information, which streamlines product development and reduces errors.
What are popular job titles related to Remote Pdm Engineer jobs in Texas?
For Remote Pdm Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Pdm Engineer jobs in Texas look for?
The top searched job categories for Remote Pdm Engineer jobs in Texas are:
What cities in Texas are hiring for Remote Pdm Engineer jobs?
Cities in Texas with the most Remote Pdm Engineer job openings:
Deloitte rating
8.2
Based on 92 frontline employees who took The Breakroom Quiz
44th of 150 rated financial services
Job description
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced GCP Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.
Work you'll do
As a GCP Engineer on the AI & Data team, you will be responsible for...
- Build, configure, and support GCP-based data lake and data platform environments, including integrations
- Translate approved technical designs into implementation tasks, configurations, and deployment steps
- Develop and support cloud-based data pipelines, platform components, and environment setup activities
- Partner with delivery teams, architects, and stakeholders to support implementation, testing, and release readiness
- Troubleshoot platform issues and support ongoing performance, stability, and operational needs
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
The team
AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.
Qualifications
Required:
- Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or equivalent experience
- 5+ years of experience with Google Cloud Platform cloud services, configuration, or implementation
- Experience building or supporting cloud-based data platforms, data lakes, or data engineering solutions in Google Cloud Platform
- Experience developing or supporting data pipelines and platform integrations
- Experience translating technical designs into implementation tasks and deployment steps
- Limited immigration sponsorship may be available.
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Preferred:
- Experience in consulting, including experience serving healthcare industry clients
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced GCP Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.
Work you'll do
As a GCP Engineer on the AI & Data team, you will be responsible for...
- Build, configure, and support GCP-based data lake and data platform environments, including integrations
- Translate approved technical designs into implementation tasks, configurations, and deployment steps
- Develop and support cloud-based data pipelines, platform components, and environment setup activities
- Partner with delivery teams, architects, and stakeholders to support implementation, testing, and release readiness
- Troubleshoot platform issues and support ongoing performance, stability, and operational needs
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
The team
AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.
Qualifications
Required:
- Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or equivalent experience
- 5+ years of experience with Google Cloud Platform cloud services, configuration, or implementation
- Experience building or supporting cloud-based data platforms, data lakes, or data engineering solutions in Google Cloud Platform
- Experience developing or supporting data pipelines and platform integrations
- Experience translating technical designs into implementation tasks and deployment steps
- Limited immigration sponsorship may be available.
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Preferred:
- Experience in consulting, including experience serving healthcare industry clients