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Equipment Engineer (Mandarin Bilingual)

Insight Global

Queen Creek, AZJob$66–70K/yrTracked 3w agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$66–70K/yr
Location
Queen Creek, AZ
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Insight Global is hiring an Equipment Engineer (Mandarin Bilingual). Insight Global seeks an entry-level equipment engineer who is bilingual in Mandarin and English to support installation, operation, troubleshooting, and continuous improvement of automated production equipment within a large-scale advanced manufacturing environment.

Key focus areas include Support installation of automated production equipment, Assist with equipment performance analysis and issue resolution, and Help implement preventive maintenance initiatives.

Important skills include Chinese, English, Read Technical Documentation, Interpret Engineering Drawings, Problem-Solving, and Analytical Skills.

Skills & qualifications

RequiredNice to have

Skills

ChineseEnglishRead Technical DocumentationInterpret Engineering DrawingsProblem-SolvingAnalytical SkillsPLCsHMIsSensorsRoboticsAutomated EquipmentRoot Cause AnalysisTroubleshooting MethodologiesSQLMinitabPower BI

Qualifications

Bachelor's in Mechanical EngineeringBachelor's in Electrical EngineeringBachelor's in Manufacturing EngineeringBachelor's in Chemical EngineeringBachelor's in Related Engineering DisciplineStrong Interest in ManufacturingStrong Interest in AutomationStrong Interest in Equipment EngineeringStrong Interest in Industrial OperationsAbility to Work on-Site in Fast-Paced Manufacturing EnvironmentInternship Experience in Manufacturing EquipmentCo-Op Experience in Manufacturing Equipment

Full job description

Job Description

Insight Global is looking for an Entry-Level Equipment Engineer (Mandarin Bilingual) to join a growing manufacturing engineering team within a large-scale advanced manufacturing environment. This individual will support the installation, operation, troubleshooting, and continuous improvement of automated production equipment. Working closely with senior engineers, maintenance teams, and manufacturing personnel, this engineer will assist with equipment performance analysis, issue resolution, preventive maintenance initiatives, process optimization projects, and equipment documentation. This role will pay 66K-70K based on level of education.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

Bachelor's in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Chemical Engineering, or related engineering discipline

Fluent in both Mandarin and English (written and verbal)

Strong interest in manufacturing, automation, equipment engineering, or industrial operations

Ability to read and interpret technical documentation and engineering drawings

Strong problem-solving and analytical skills

Ability to work on-site in a fast-paced manufacturing environment Internship, co-op, research, or project experience involving manufacturing equipment or industrial systems

Exposure to PLCs, HMIs, sensors, robotics, or automated equipment

Experience with root cause analysis and troubleshooting methodologies

Familiarity with data analysis tools such as Excel, SQL, Minitab, or Power BI

Experience working in a manufacturing, semiconductor, battery, automotive, or industrial environment

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