📍 Job Overview

Job Title: Foundry Automation Database Engineer
Company: Intel Corporation
Location: Chandler, AZ, USA (with additional locations in Phoenix, AZ, USA and Hillsboro, OR, USA)
Job Type: Experienced Hire
Category: Database Engineer, DevOps Engineer, System Administrator
Date Posted: June 24, 2025
Experience Level: 5-10 years
Remote Status: On-site

🚀 Role Summary

Develop, test, and maintain factory automation database systems for Intel's Secure Enclave program
Collaborate with cross-functional teams to create data-driven solutions using advanced technologies
Optimize factory performance, output, and cycle time while meeting environmental constraints
Translate business requirements into technical requirements and document systems for optimal performance and scalability

📝 Enhancement Note: This role requires a strong understanding of large-scale database design, development, and performance tuning, as well as experience with various database systems and data transformation processes. Familiarity with semiconductor manufacturing processes and factory automation is a plus.

💻 Primary Responsibilities

Database Development & Maintenance: Design, develop, and maintain factory automation database systems using Oracle, SQLServer, and PL/SQL.
Data Pipeline & Transformation: Work with data transformations, data structures, metadata, and workload management to create robust and efficient data pipelines.
Cross-Functional Collaboration: Partner with automation engineers, manufacturing planners, and industrial engineers to create and implement data-driven solutions.
Optimization & Integration: Analyze, prototype, and enhance automation solutions to improve factory performance, output, and cycle time while meeting environmental constraints.
Documentation & Support: Provide input to technical documentation, create product manuals, and support post-deployment systems to ensure optimal performance and scalability.

📝 Enhancement Note: This role requires strong problem-solving skills, attention to detail, and the ability to work effectively in ambiguous environments. Candidates should be comfortable managing multiple projects and driving solutions.

🎓 Skills & Qualifications

Education: Bachelor's degree in computer science, computer engineering, or a related field (Master's or PhD degree preferred)

Experience: 4+ years of experience in large-scale database design, development, deployment, and performance tuning (5+ years preferred)

Required Skills:

Large-scale database design, development, deployment, and performance tuning
Oracle, SQLServer, and PL/SQL development
Data transformations, data structures, metadata, and workload management
Object-oriented software design and development
Building distributed systems

Preferred Skills:

Semiconductor manufacturing processes, factory automation, and manufacturing execution planning
Agile methodologies and automated testing and deployment processes
Experience building and optimizing data pipelines
Expertise in Windows/Linux OS and enterprise networking and firewall

📝 Enhancement Note: Candidates with experience in semiconductor manufacturing processes, factory automation, and data pipeline optimization will have a competitive advantage in this role.

📊 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, and workload management
Highlight cross-functional collaboration and data-driven solutions in previous projects

Technical Documentation:

Provide examples of technical documentation, product manuals, and system documentation for previous database projects
Include case studies that demonstrate problem-solving, optimization, and integration efforts

📝 Enhancement Note: Candidates should emphasize their ability to translate business requirements into technical requirements and optimize factory performance through data-driven solutions in their portfolio.

💵 Compensation & Benefits

Salary Range: $146,520 - $206,860 per year (dependent on location and experience)

Benefits:

Health, retirement, and vacation benefits
Stock and bonuses
Find more information about all benefits here: https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003

Working Hours: 40 hours per week (with additional time for on-call rotations and maintenance windows)

📝 Enhancement Note: The salary range for this role is competitive with industry standards for experienced database engineers with relevant skills and experience in semiconductor manufacturing processes.

🎯 Team & Company Context

Company Culture:

Intel is shaping the future of technology to help create a better future for the entire world
Focus on pushing forward fields like AI, analytics, and cloud-to-edge technology
Join a team that values innovation, collaboration, and continuous learning

Team Structure:

The Factory Automation Database Engineer will work within the Technology Development and Manufacturing Group, collaborating with cross-functional teams such as automation engineers, manufacturing planners, and industrial engineers
The team focuses on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth

Development Methodology:

Agile methodologies and automated testing and deployment processes
Collaborative environment with a focus on data-driven solutions and continuous improvement

Company Website: https://www.intel.com/

📝 Enhancement Note: Intel offers a dynamic and collaborative work environment that encourages innovation and continuous learning. Candidates should be prepared to work effectively in a cross-functional team and contribute to the company's mission of shaping the future of technology.

📈 Career & Growth Analysis

Web Technology Career Level: Experienced Database Engineer with a focus on factory automation and data-driven solutions

Reporting Structure: This role reports directly to the Factory Automation Database Engineering Manager and collaborates with cross-functional teams such as automation engineers, manufacturing planners, and industrial engineers

Technical Impact: The Factory Automation Database Engineer will have a significant impact on factory performance, output, and cycle time by optimizing database systems and implementing data-driven solutions

Growth Opportunities:

Develop expertise in semiconductor manufacturing processes and factory automation
Gain experience in data pipeline optimization and data-driven solutions
Build leadership skills through cross-functional collaboration and mentoring opportunities

📝 Enhancement Note: This role offers significant growth potential for experienced database engineers looking to expand their skills in semiconductor manufacturing processes and data-driven solutions. Candidates should be prepared to take on new challenges and contribute to the company's mission of shaping the future of technology.

🌐 Work Environment

Office Type: On-site, with additional locations in Phoenix, AZ, USA and Hillsboro, OR, USA

Office Location(s):

Chandler, AZ, USA
Phoenix, AZ, USA
Hillsboro, OR, USA

Workspace Context:

Collaborative workspace with automation engineers, manufacturing planners, and industrial engineers
Access to enterprise networking and firewall resources
Opportunity to work with cutting-edge technology in the semiconductor manufacturing industry

Work Schedule: 40 hours per week (with additional time for on-call rotations and maintenance windows)

📝 Enhancement Note: Candidates should be prepared to work effectively in an on-site environment, collaborating with cross-functional teams and contributing to the company's mission of shaping the future of technology.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss the role, qualifications, and expectations (15-30 minutes)
Technical Deep Dive: A detailed discussion of the candidate's experience with large-scale database design, development, and performance tuning (45-60 minutes)
On-Site Interview: A day-long on-site interview, including a tour of the facility, meetings with team members, and a working session to demonstrate problem-solving skills and data-driven solutions (6-8 hours)
Final Decision: A final decision will be made based on the candidate's technical skills, cultural fit, and alignment with the company's mission and values

Portfolio Review Tips:

Highlight experience in large-scale database design, development, and performance tuning
Showcase projects that demonstrate data transformations, data structures, metadata, and workload management
Emphasize cross-functional collaboration and data-driven solutions in previous projects

Technical Challenge Preparation:

Brush up on large-scale database design, development, and performance tuning concepts
Review data transformation, data structures, metadata, and workload management techniques
Familiarize yourself with semiconductor manufacturing processes and factory automation concepts

ATS Keywords: Large-scale database design, development, performance tuning, data transformations, data structures, metadata, workload management, object-oriented software design, distributed systems, Agile methodologies, automated testing, data pipeline optimization, semiconductor manufacturing processes, factory automation, cross-functional collaboration, data-driven solutions

📝 Enhancement Note: Candidates should emphasize their experience with large-scale database design, development, and performance tuning, as well as their ability to work effectively in a cross-functional team and contribute to the company's mission of shaping the future of technology.

🛠 Technology Stack & Web Infrastructure

Database Technologies:

Oracle
SQLServer
PL/SQL

Data Pipeline & Transformation Tools:

Data transformations
Data structures
Metadata
Workload management

Operating Systems:

Windows OS
Linux OS

Enterprise Networking & Firewall:

Enterprise networking
Firewall

📝 Enhancement Note: Candidates should have experience with the specified database technologies, data pipeline and transformation tools, operating systems, and enterprise networking and firewall resources. Familiarity with semiconductor manufacturing processes and factory automation is a plus.

👥 Team Culture & Values

Factory Automation Database Engineer Values:

Innovation: Continuously seek new and better ways to optimize factory performance and output
Collaboration: Work effectively with cross-functional teams to implement data-driven solutions
Continuous Learning: Stay up-to-date with emerging technologies and best practices in database design, development, and performance tuning
Data-Driven Decision Making: Use data to inform decisions and optimize factory performance

Collaboration Style:

Cross-functional integration between database engineers, automation engineers, manufacturing planners, and industrial engineers
Code review culture and peer programming practices
Knowledge sharing, technical mentoring, and continuous learning opportunities

📝 Enhancement Note: Candidates should be prepared to work effectively in a collaborative environment, contributing to the company's mission of shaping the future of technology through data-driven solutions.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Large-scale database design, development, deployment, and performance tuning
Data transformations, data structures, metadata, and workload management
Semiconductor manufacturing processes and factory automation

Learning & Development Opportunities:

Gain expertise in semiconductor manufacturing processes and factory automation
Develop skills in data pipeline optimization and data-driven solutions
Build leadership skills through cross-functional collaboration and mentoring opportunities

📝 Enhancement Note: This role offers significant technical challenges and growth opportunities for experienced database engineers looking to expand their skills in semiconductor manufacturing processes and data-driven solutions. Candidates should be prepared to take on new challenges and contribute to the company's mission of shaping the future of technology.

💡 Interview Preparation

Technical Questions:

Database Design & Development: Describe your experience with large-scale database design, development, deployment, and performance tuning
Data Transformations & Pipeline: Explain your approach to data transformations, data structures, metadata, and workload management
Semiconductor Manufacturing Processes: Discuss your understanding of semiconductor manufacturing processes and factory automation
Cross-Functional Collaboration: Provide examples of successful cross-functional collaboration and data-driven solutions in previous projects

Company & Culture Questions:

Intel's Mission: Explain how your experience and skills align with Intel's mission of shaping the future of technology
Data-Driven Decision Making: Describe your approach to data-driven decision making and its impact on factory performance and output
Continuous Learning: Discuss your commitment to staying up-to-date with emerging technologies and best practices in database design, development, and performance tuning

Portfolio Presentation Strategy:

Highlight experience in large-scale database design, development, and performance tuning
Showcase projects that demonstrate data transformations, data structures, metadata, and workload management
Emphasize cross-functional collaboration and data-driven solutions in previous projects

📝 Enhancement Note: Candidates should emphasize their experience with large-scale database design, development, and performance tuning, as well as their ability to work effectively in a cross-functional team and contribute to the company's mission of shaping the future of technology.

📌 Application Steps

To apply for this Foundry Automation Database Engineer position:

Submit your application through the application link
Tailor your resume to highlight your experience with large-scale database design, development, and performance tuning, as well as your ability to work effectively in a cross-functional team and contribute to the company's mission of shaping the future of technology
Prepare a portfolio that showcases your experience in large-scale database design, development, and performance tuning, as well as your ability to work effectively in a cross-functional team and contribute to the company's mission of shaping the future of technology
Prepare for the interview process by brushing up on large-scale database design, development, and performance tuning concepts, as well as your understanding of semiconductor manufacturing processes and factory automation concepts

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Foundry Automation Database Engineer