Foundry Automation Database Engineer
📍 Job Overview
- Job Title: Foundry Automation Database Engineer
- Company: Intel Corporation
- Location: Chandler, Arizona, United States
- Job Type: On-site, Full-time
- Category: Database Engineer, Web Infrastructure
- Date Posted: June 24, 2025
- Experience Level: Mid-Senior level (5-10 years)
🚀 Role Summary
- Develop, test, and maintain factory automation database systems to improve manufacturing output and productivity.
- Collaborate with cross-functional teams to create integrated software and database systems that meet customer requirements.
- Optimize automation solutions to improve factory performance, output, and cycle time while meeting environmental constraints.
- Design and develop database systems using advanced technologies such as machine learning, statistical analysis, and optimization algorithms.
📝 Enhancement Note: This role requires a strong background in database design, development, and performance tuning, as well as experience working with large-scale data systems and cross-functional teams.
💻 Primary Responsibilities
- Database Design & Development: Design and develop robust, reliable, and high-performance database systems that meet customer requirements.
- Data Pipeline & Integration: Work on manufacturing data pipeline to create integrated software and database systems that improve factory performance.
- Optimization & Integration: Analyze, prototype, and enhance automation solutions that improve factory performance, output, and cycle time while meeting environmental constraints.
- Collaboration & Innovation: Partner with cross-functional teams (automation engineers, manufacturing planners, industrial engineers) to create and implement data-driven solutions using advanced technologies.
- Documentation & Support: Provide input to technical documentation, create product manuals, and support post-deployment systems to ensure optimal performance and scalability.
🎓 Skills & Qualifications
Education:
- Bachelor's degree in computer science, computer engineering, or a related field.
- Master's or PhD degree in Computer Science, Computer Engineering, or a related field (preferred).
Experience:
- 4+ years of experience in large scale database design, development, deployment, and performance tuning.
- 4+ years of experience with Oracle, SQLServer, and PL/SQL development.
- 4+ years of experience in data transformations, data structures, metadata, workload management, object-oriented software design, and building distributed systems.
Required Skills:
- Strong analytical skills and problem-solving abilities.
- Excellent teamwork and communication skills.
- Ability to work in ambiguous environments and self-motivate to drive solutions.
- Strong organizational skills to manage multiple projects and ensure accurate execution.
Preferred Skills:
- Experience in semiconductor manufacturing processes, factory automation, manufacturing execution planning, production control, and dispatching systems.
- Experience with Agile methodologies and automated testing and deployment processes.
- Experience building and optimizing data pipelines.
- Expertise on Windows/Linux OS and enterprise networking and firewall.
📊 Web Portfolio & Project Requirements
Portfolio Essentials:
- Demonstrate experience in large-scale database design, development, and performance tuning.
- Showcase projects that involve data transformations, data structures, metadata, workload management, and object-oriented software design.
- Highlight any experience working with cross-functional teams to create integrated software and database systems.
Technical Documentation:
- Provide examples of technical documentation, product manuals, or support materials created for post-deployment systems.
- Include case studies or success stories that demonstrate your ability to optimize automation solutions and improve factory performance.
💵 Compensation & Benefits
Salary Range:
- $146,520 - $206,860 per year (USD)
- Salary range dependent on location and experience
Benefits:
- Health
- Retirement
- Vacation
- Stock
- Bonuses
Working Hours:
- 40 hours per week
- Shift 1 (United States of America)
🎯 Team & Company Context
🏢 Company Culture
Industry:
- Semiconductor manufacturing and technology development
Company Size:
- Large (over 100,000 employees)
Founded:
- 1968
Team Structure:
- The Technology Development and Manufacturing Group is part of a worldwide network of design, development, manufacturing, and assembly/test facilities.
- The team works closely with cross-functional groups, including automation engineers, manufacturing planners, and industrial engineers.
Development Methodology:
- Agile methodologies and automated testing and deployment processes (preferred)
Company Website:
📝 Enhancement Note: Intel is a large, established company with a global presence in the semiconductor industry. The company values innovation, collaboration, and continuous learning, making it an ideal environment for a mid-senior level database engineer looking to grow their career in a dynamic and challenging role.
📈 Career & Growth Analysis
Web Technology Career Level:
- Mid-Senior level (5-10 years of experience)
- Responsible for designing, developing, and maintaining factory automation database systems that improve manufacturing output and productivity.
Reporting Structure:
- Reports to the manager of the Factory Automation Database team.
- Collaborates with cross-functional teams, including automation engineers, manufacturing planners, and industrial engineers.
Technical Impact:
- Directly impacts factory performance, output, and cycle time by optimizing automation solutions and improving data-driven decision-making.
Growth Opportunities:
- Technical Skill Development: Expand expertise in advanced technologies such as machine learning, statistical analysis, and optimization algorithms.
- Technical Leadership: Gain experience managing and mentoring junior team members, as well as driving technical projects and initiatives.
- Career Progression: Transition into roles with more strategic or management responsibilities within the Technology Development and Manufacturing Group or other departments within Intel.
📝 Enhancement Note: This role offers significant opportunities for technical growth and career progression within Intel's large and dynamic organization. By joining Intel, you will have the chance to work on cutting-edge technology and collaborate with talented professionals to drive innovation in the semiconductor industry.
🌐 Work Environment
Office Type:
- On-site, with a focus on collaboration and cross-functional teamwork.
Office Location(s):
- Chandler, Arizona, United States
- Hillsboro, Oregon, United States
Workspace Context:
- Modern, well-equipped offices with access to the latest tools and technologies.
- Collaborative workspaces designed to facilitate teamwork and communication.
- Opportunities to work with diverse teams and gain exposure to various aspects of Intel's business.
Work Schedule:
- 40 hours per week, with flexible scheduling for deployment windows, maintenance, and project deadlines.
- Shift 1 (United States of America)
📝 Enhancement Note: Intel's on-site work environment fosters collaboration and innovation, providing an ideal setting for a mid-senior level database engineer looking to grow their career in a dynamic and challenging role.
📄 Application & Technical Interview Process
Interview Process:
- Technical Assessment: Demonstrate your ability to design, develop, and maintain factory automation database systems, as well as your experience with large-scale data systems and cross-functional teams.
- Behavioral Questions: Discuss your problem-solving skills, adaptability, attention to detail, and willingness to learn and master various facets of Intel's business.
- Team Fit Assessment: Showcase your ability to collaborate effectively with cross-functional teams and contribute to Intel's culture of innovation and continuous learning.
Portfolio Review Tips:
- Highlight your experience in large-scale database design, development, and performance tuning.
- Include case studies or success stories that demonstrate your ability to optimize automation solutions and improve factory performance.
- Showcase your technical documentation, product manuals, or support materials created for post-deployment systems.
Technical Challenge Preparation:
- Brush up on your knowledge of large-scale database design, development, and performance tuning.
- Familiarize yourself with Intel's technology stack, including Oracle, SQLServer, and PL/SQL development.
- Prepare for questions related to data transformations, data structures, metadata, workload management, object-oriented software design, and building distributed systems.
ATS Keywords:
- Database Design, Database Development, Performance Tuning, Oracle, SQLServer, PL/SQL, Data Transformations, Metadata, Workload Management, Object-Oriented Software Design, Distributed Systems, Agile Methodologies, Automated Testing, Data Pipelines, Windows OS, Linux OS, Enterprise Networking, Firewall, Semiconductor Manufacturing, Factory Automation, Manufacturing Execution Planning, Production Control, Dispatching Systems, Machine Learning, Statistical Analysis, Optimization Algorithms.
📝 Enhancement Note: Intel's interview process focuses on assessing your technical skills and cultural fit within the organization. By preparing thoroughly and showcasing your relevant experience, you will increase your chances of success in the application and interview process.
🛠 Technology Stack & Web Infrastructure
Database Technologies:
- Oracle
- SQLServer
- PL/SQL
Programming Languages:
- SQL, PL/SQL
Tools & Frameworks:
- Agile methodologies and automated testing and deployment processes (preferred)
Operating Systems:
- Windows
- Linux
Networking:
- Enterprise networking
- Firewall
📝 Enhancement Note: Intel's technology stack includes industry-standard database technologies, programming languages, and tools. Familiarity with these technologies is essential for success in the role of Foundry Automation Database Engineer.
👥 Team Culture & Values
Intel's Core Values:
- Customer Obsessed
- Results Driven
- Inclusive
- Innovative
- Quality & Excellence
Web Development Values:
- Data-Driven Decision Making: Leverage advanced technologies such as machine learning, statistical analysis, and optimization algorithms to improve factory performance and productivity.
- Collaboration & Innovation: Work closely with cross-functional teams to create integrated software and database systems that meet customer requirements.
- Continuous Learning: Stay up-to-date with the latest technologies and best practices in database design, development, and performance tuning.
Collaboration Style:
- Cross-Functional Integration: Collaborate with automation engineers, manufacturing planners, and industrial engineers to create and implement data-driven solutions.
- Code Review Culture: Participate in code reviews and pair programming to ensure the quality and maintainability of database systems.
- Knowledge Sharing: Share your expertise and experiences with team members to foster a culture of continuous learning and improvement.
📝 Enhancement Note: Intel's team culture emphasizes collaboration, innovation, and continuous learning, providing an ideal environment for a mid-senior level database engineer looking to grow their career in a dynamic and challenging role.
⚡ Challenges & Growth Opportunities
Technical Challenges:
- Large-Scale Database Management: Design, develop, and maintain factory automation database systems that meet the demands of a large-scale manufacturing environment.
- Data Pipeline Optimization: Work on manufacturing data pipeline to create integrated software and database systems that improve factory performance, output, and cycle time.
- Cross-Functional Collaboration: Collaborate effectively with automation engineers, manufacturing planners, and industrial engineers to create and implement data-driven solutions.
- Advanced Technologies: Stay up-to-date with the latest technologies and best practices in machine learning, statistical analysis, and optimization algorithms.
Learning & Development Opportunities:
- Technical Skill Development: Expand your expertise in advanced technologies, such as machine learning, statistical analysis, and optimization algorithms.
- Career Progression: Transition into roles with more strategic or management responsibilities within the Technology Development and Manufacturing Group or other departments within Intel.
- Mentorship & Leadership: Gain experience managing and mentoring junior team members, as well as driving technical projects and initiatives.
📝 Enhancement Note: The role of Foundry Automation Database Engineer presents numerous challenges and growth opportunities for a mid-senior level database engineer looking to advance their career in a dynamic and challenging role within Intel's large and diverse organization.
💡 Interview Preparation
Technical Questions:
- Database Design & Development: Describe your experience designing, developing, and maintaining large-scale database systems for factory automation.
- Data Pipeline Optimization: Explain your approach to optimizing manufacturing data pipeline to create integrated software and database systems that improve factory performance.
- Cross-Functional Collaboration: Discuss your experience working with cross-functional teams, such as automation engineers, manufacturing planners, and industrial engineers, to create and implement data-driven solutions.
Company & Culture Questions:
- Intel's Core Values: Explain how you embody Intel's core values, such as Customer Obsessed, Results Driven, Inclusive, Innovative, and Quality & Excellence, in your work.
- Team Culture: Describe your experience working in a collaborative, innovative, and continuously learning team environment, and how you have contributed to fostering a positive team culture.
- Intel's Business: Demonstrate your understanding of Intel's business, technology stack, and the semiconductor industry, and how your skills and experience align with the company's mission and goals.
Portfolio Presentation Strategy:
- Large-Scale Database Projects: Highlight your experience designing, developing, and maintaining large-scale database systems for factory automation.
- Data Pipeline Optimization: Showcase your approach to optimizing manufacturing data pipeline to create integrated software and database systems that improve factory performance.
- Cross-Functional Collaboration: Demonstrate your ability to work effectively with cross-functional teams, such as automation engineers, manufacturing planners, and industrial engineers, to create and implement data-driven solutions.
📝 Enhancement Note: By preparing thoroughly and showcasing your relevant experience, you will increase your chances of success in the interview process for the role of Foundry Automation Database Engineer at Intel.
📌 Application Steps
To apply for this Foundry Automation Database Engineer position at Intel:
- Submit your application through the Intel careers website.
- Customize your resume and portfolio to highlight your experience in large-scale database design, development, and performance tuning, as well as your familiarity with Intel's technology stack and industry.
- Prepare for the technical interview by brushing up on your knowledge of large-scale database design, development, and performance tuning, as well as Intel's technology stack and industry.
- Research Intel's business, technology stack, and the semiconductor industry to demonstrate your understanding of the company and its mission.
- Showcase your ability to collaborate effectively with cross-functional teams and contribute to Intel's culture of innovation and continuous learning.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Candidates must have a Bachelor's degree in a related field and at least 4 years of relevant experience, including large scale database design and development. Preferred qualifications include a Master's or PhD degree and experience in semiconductor manufacturing processes.