Data Engineering Intern - Summer 2026

TTM Technologies, Inc. - Publicly Traded US Company, NASDAQ (TTMI) - Top-5 Global Printed Circuit Board Manufacturer

TTM Technologies, Inc. is a leading global manufacturer of technology products, including mission systems, radio frequency ("RF") components, RF microwave/microelectronic assemblies, and technologically advanced printed circuit boards ("PCB"s). TTM stands for time-to-market, representing how TTM's time-critical, one-stop design, engineering and manufacturing services enable customers to reduce the time required to develop new products and bring them to market.

Additional information can be found at www.ttm.com

The Data Engineering Intern will work for 12-14 weeks (May to August) to help design, develop, and maintain data infrastructure that supports manufacturing operations. The Data Engineering Intern will collaborate with the Data Analyst and cross-functional teams on efforts involving database development, data integration, and process automation.

Duties and Responsibilities:

• Design and implement database solutions to replace manual, file-based data processes
• Develop data pipelines and automation workflows to improve data accessibility and reliability
• Integrate machine data and manufacturing systems to enable real-time monitoring and analysis
• Query, clean, and transform data from multiple sources to support operational decision-making
• Collaborate with manufacturing and engineering teams to understand data requirements and deliver solutions
• Apply technical knowledge to support projects involving capacity models, utilization rates, and manufacturing performance metrics
• Document data structures, processes, and technical workflows
• Present project outcomes to the local leadership team
• Limited travel required for workshops and trade shows

Knowledge and Skills:

• Proficiency in SQL and relational database concepts is preferred
• Experience with data manipulation and analysis using R (dplyr and other tidyverse packages) or equivalent programming languages is preferred
• Ability to work with structured and unstructured data from disparate sources
• Strong problem-solving skills with attention to data accuracy and system reliability is preferred
• Eagerness to learn manufacturing processes and apply technical skills to industrial applications is preferred
• Excellent communication and collaboration skills is preferred
• Capability to work independently and manage project timelines is preferred

Education and Experience:

• Current college Junior or Senior earning Bachelor's degree in Computer Science, Industrial Engineering, Manufacturing Engineering, Data Science, Management Information Systems, or related field is preferred
• Coursework or project experience in database management and programming is preferred
• Experience in applying technical concepts to solve real-world problems is preferred

Compensation for roles at TTM Technologies varies depending on a wide array of factors including but not limited to the specific office location, role, skill set and level of experience. As required by local law, TTM provides a reasonable range of compensation for roles that my be hired in New York, California and Colorado. For California-based roles, compensation ranges are based upon specific physical locations.

Export Statement:
Must comply with TTM Export Control Policies and Procedures and all applicable laws including ITAR, EAR and OFAC including but not limited to: a) being able to identify ITAR product on the manufacturing floor and understand that access to these products and related technical data is restricted to only US Citizens and US Permanent Residents; b) recognition ofForeign Person visitors by badge differentiation; c) understand and follow authorization procedures for bringing foreign visitors into facilities (VAL); d) understand the Export and ITAR requirements for shipments leaving the US; e) manage vendor approvals for ITAR manufacturing and services.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status.