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Product Engineer Assistant Jobs in Spring, TX (NOW HIRING)

Senior Principal Riser Engineer

Houston, TX · On-site

$119K - $165K/yr

Provide technical direction and review of Designers producing products related to Instrumentation & Controls Engineering * Prepare and review design reports and procedures * Assist in providing ...

Production Engineer

Houston, TX · On-site

$80K - $107K/yr

... and product quality while driving continuous improvement - Troubleshoot process issues and ... assist with production supervision when needed What We Are Looking For - BS Chemical Engineering or ...

Provides engineering support for a specific product or group of products. * Collaborates with ... Performs incident investigations and root cause analysis teams. * Assist in tracking of unit ...

Production Engineer

Spring, TX · On-site

$75K - $95K/yr

The Production & Facilities Engineer is responsible for daily surveillance, optimization, and ... Generate facility sizing calculations and recommend debottlenecking solutions. * Assist with new ...

Provides engineering support for a specific product or group of products. * Collaborates with ... Performs incident investigations and root cause analysis teams. * Assist in tracking of unit ...

Provides engineering support for a specific product or group of products. * Collaborates with ... Performs incident investigations and root cause analysis teams. * Assist in tracking of unit ...

Provides engineering support for a specific product or group of products. * Collaborates with ... Performs incident investigations and root cause analysis teams. * Assist in tracking of unit ...

Assistant Product Manager - Data Center Infrastructure Position Overview: The Assistant Product ... Serve as a supporting interface for engineering, delivery, and construction execution. Ensure clear ...

Document product designs by preparing cost analysis, review drawings, and engineering change requests. * Assist other team members in redesigning internal components to improve overall long-term ...

Document product designs by preparing cost analysis, review drawings, and engineering change requests. * Assist other team members in redesigning internal components to improve overall long-term ...

Document product designs by preparing cost analysis, review drawings, and engineering change requests. * Assist other team members in redesigning internal components to improve overall long-term ...

ENGINEERING & FABRICATION: * Primary focal point for project written and verbal communication ... The Assistant Product Manager I is the Customer's single contact point for all technical issues.

Showing results 41-60

Product Engineer Assistant information

See Spring, TX salary details

$29.4K

$79K

$119.7K

How much do product engineer assistant jobs pay per year?

As of Sep 6, 2026, the average yearly pay for product engineer assistant in Spring, TX is $78,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $93,000.00 per year, depending on experience, location, and employer.

What does a product engineer assistant do?

A Product Engineer Assistant supports product engineers in the design, development, testing, and improvement of products. They often help with creating technical documentation, preparing prototypes, conducting tests, and collecting data. Their role is crucial in ensuring that products meet quality standards and project requirements. They also assist with coordinating between engineering teams and other departments to facilitate smooth workflow and communication.

What are the key skills and qualifications needed to thrive as a product engineer assistant, and why are they important?

To thrive as a Product Engineer Assistant, you need a strong background in engineering principles, technical drawing, and basic product development, often supported by a relevant associate degree or coursework. Familiarity with CAD software, product lifecycle management (PLM) systems, and data analysis tools is typically required. Organizational skills, attention to detail, and effective communication help you collaborate with engineers and cross-functional teams. These abilities ensure accurate technical support, efficient workflow, and high-quality product outcomes.

What are some common challenges faced by product engineer assistants when working on cross-functional teams?

Product Engineer Assistants often collaborate with engineers, designers, and project managers, which can present challenges like managing diverse communication styles and balancing competing priorities. Navigating differing perspectives while ensuring deadlines are met requires strong organizational and interpersonal skills. Proactively seeking clarification, staying organized, and building positive working relationships can help overcome these challenges and ensure successful project outcomes.

What is the difference between Product Engineer Assistant vs Product Engineer?

AspectProduct Engineer AssistantProduct Engineer
Required CredentialsAssociate's or Bachelor's degree in engineering or related fieldBachelor's or higher in engineering, often with experience
Work EnvironmentSupportive, team-based, often in manufacturing or product development settingsDesign, development, testing, and project management in product lifecycle
Employer & Industry UsageManufacturing, tech, consumer goods companiesProduct design firms, tech companies, manufacturing

The Product Engineer Assistant typically supports product engineering teams with basic tasks and research, requiring relevant technical education. The Product Engineer, on the other hand, takes on more complex design and development responsibilities, often with more experience and higher qualifications. Both roles are integral in product development but differ in scope and seniority.

What are the most commonly searched types of Product Engineer jobs in Spring, TX?

The most popular types of Product Engineer jobs in Spring, TX are:

What are popular job titles related to Product Engineer Assistant jobs in Spring, TX?

For Product Engineer Assistant jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Product Engineer Assistant jobs in Spring, TX look for?

The top searched job categories for Product Engineer Assistant jobs in Spring, TX are:

What cities near Spring, TX are hiring for Product Engineer Assistant jobs?

Cities near Spring, TX with the most Product Engineer Assistant job openings:

Infographic showing various Product Engineer Assistant job openings in Spring, TX as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $78,981 per year, or $38 per hour.

Cyber Identity - FDE Senior Consultant - Engineering and Product Engineer III

Deloitte

Houston, TX • On-site

$99K - $137K/yr

Full-time

Posted 28 days ago


Key responsibilities

  • Design, build, and deliver cybersecurity and AI-enabled solutions in collaboration with client engagement teams.

  • Identify, troubleshoot, and resolve technical issues within the scope of projects.

  • Contribute to solution design, shape technical solutions during pursuits, and document delivery learnings for platform improvements.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services


Job description

As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:

  • Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
  • Identifying, troubleshooting, and resolving technical issues within scope
  • Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
  • Contributing to solution design and aligning client needs with delivery feasibility
  • Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer

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
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 5-8+ years of hands-on experience in full stack development across frontend and backend technologies.
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • Understanding of AI system architectures and ability to align application pipelines to support them.
  • Ability to independently own defined scope end-to-end with consistent, high-quality output.
  • Experience working directly with business stakeholders to translate requirements into technical solutions.
  • Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.
  • Strong accountability and ownership mindset in achieving client outcomes.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience and/or certification with Anthropic is strongly preferred.
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:

  • Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
  • Identifying, troubleshooting, and resolving technical issues within scope
  • Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
  • Contributing to solution design and aligning client needs with delivery feasibility
  • Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer

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
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 5-8+ years of hands-on experience in full stack development across frontend and backend technologies.
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • Understanding of AI system architectures and ability to align application pipelines to support them.
  • Ability to independently own defined scope end-to-end with consistent, high-quality output.
  • Experience working directly with business stakeholders to translate requirements into technical solutions.
  • Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.
  • Strong accountability and ownership mindset in achieving client outcomes.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience and/or certification with Anthropic is strongly preferred.
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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