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Internship Data Recovery Jobs in Arizona (NOW HIRING)

Data Analysis and Reporting * Collect, analyze, and summarize process, metrology, and equipment ... internships and co-op experience may be considered). * Experience in semiconductor process ...

Job Page

Phoenix, AZ · On-site

$89K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... recovery. Treatment is individualized with goals that focus on education about an illness ... Screens, interviews, and conducts assessments and evaluations, ensuring accurate data collection.

Psychologist

Phoenix, AZ · On-site

$89K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... recovery. Treatment is individualized with goals that focus on education about an illness ... Screens, interviews, and conducts assessments and evaluations, ensuring accurate data collection.

Early Career Recruiting Lead

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Support our internship program by designing meaningful experiences that convert interns into ... Track and manage a campus talent pipeline, using data and metrics to evaluate what's working and ...

Data Analysis and Reporting * Collect, analyze, and summarize process, metrology, and equipment ... internships and co-op experience may be considered). * Experience in semiconductor process ...

... recovery, and achieve technology development milestones. - Drive alignment during non-standard ... data analytics, and factory performance metrics to improve safety, quality, output, cost, yield ...

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Internship Data Recovery information

What are the key skills and qualifications needed to thrive as an internship data recovery specialist, and why are they important?

To thrive in an Internship Data Recovery role, you need foundational knowledge of computer systems, data storage devices, and basic understanding of file systems, often supported by coursework in information technology or computer science. Familiarity with data recovery tools such as EnCase, FTK, or open-source utilities, as well as experience with operating systems like Windows and Linux, is typically required. Analytical thinking, attention to detail, and strong problem-solving skills are essential soft skills for this position. These competencies are crucial for accurately retrieving lost data, minimizing data loss, and ensuring data integrity during recovery processes.

What is an internship in data recovery?

An Internship in Data Recovery is a temporary position where students or recent graduates learn how to recover lost, corrupted, or inaccessible data from various storage devices such as hard drives, SSDs, and USB drives. Interns typically assist experienced data recovery professionals with diagnostics, data retrieval processes, and customer support. This hands-on experience helps interns gain practical skills in using data recovery tools and software, understanding file systems, and learning best practices for handling sensitive data. The internship may also include training on data privacy and ethical considerations. Overall, it provides valuable industry exposure for those interested in IT, cybersecurity, or computer forensics.

What is the difference between Internship Data Recovery vs Data Recovery Technician?

AspectInternship Data RecoveryData Recovery Technician
CredentialsTypically pursuing or recent graduate, no formal certification requiredRelevant certifications like CDR, Data Recovery Certification often preferred
Work EnvironmentTraining setting, supervised, entry-level tasksProfessional lab or repair shop, hands-on recovery work
Industry UsageInternship programs in data recovery companies or IT departmentsFull-time or part-time roles in data recovery services
Search & Comparison IntentLearning about entry-level opportunities in data recoveryUnderstanding professional roles and qualifications in data recovery

Internship Data Recovery positions are designed for students or recent graduates gaining initial experience, often in a supervised environment. Data Recovery Technicians are experienced professionals performing actual recovery tasks, often requiring certifications. The internship provides foundational knowledge, while the technician role involves hands-on, technical work in a professional setting.

What types of projects or tasks can an intern expect to work on in a data recovery internship?

As a data recovery intern, you can expect to support experienced technicians in retrieving lost or corrupted data from various storage devices, such as hard drives, SSDs, and memory cards. Typical tasks may include running diagnostic software, assisting with hardware repairs in cleanroom environments, documenting recovery processes, and helping to analyze the causes of data loss. You will likely work closely with other team members, gaining hands-on experience with industry-standard tools while learning best practices for data security and client confidentiality. This collaborative and technical environment offers a great opportunity for skill development and insight into potential career paths in digital forensics or IT support.
What are the most commonly searched types of Data Recovery jobs in Arizona? The most popular types of Data Recovery jobs in Arizona are:
What job categories do people searching Internship Data Recovery jobs in Arizona look for? The top searched job categories for Internship Data Recovery jobs in Arizona are:
What cities in Arizona are hiring for Internship Data Recovery jobs? Cities in Arizona with the most Internship Data Recovery job openings:
Infographic showing various Internship Data Recovery job openings in Arizona as of June 2026, with employment types broken down into 84% Full Time, and 16% Temporary. Highlights an 84% In-person, and 16% Remote job distribution.

Engineer II, Process Engineering

ASM

Phoenix, AZ • On-site

Other

Posted 14 days ago


Job description

This role serves as the primary engineering resource during off-hours, responsible for executing development experiments, driving laboratory productivity, monitoring tool and process performance, analyzing experimental data, and coordinating development activities with operators, technicians, and daytime process engineers.

Working closely with Process Engineers and technology development teams, this position enables accelerated process development by providing dedicated engineering coverage for DOE execution, tool qualifications, hardware evaluations, and process demonstrations.

The ideal candidate combines strong engineering fundamentals with hands-on laboratory execution skills and thrives in a fast-paced semiconductor development environment.

Key Responsibilities

Process Development Execution

  • Execute Design of Experiments (DOE), process qualifications, demonstrations, and hardware evaluations developed by senior Process Engineers.
  • Lead daily development activities during the 3:00 PM to 11:00 PM shift.
  • Review experimental objectives, wafer splits, recipes, and process conditions to ensure accurate execution.
  • Partner with operators and technicians to prioritize and complete development activities.
  • Ensure adherence to development plans and identify deviations that may impact experiment integrity.

Equipment and Process Support

  • Monitor process performance and equipment health during development activities.
  • Perform engineering-level troubleshooting of process and equipment issues.
  • Support chamber matching, process recovery, equipment qualifications, and hardware evaluations.
  • Coordinate with maintenance and engineering teams to resolve issues impacting development schedules.
  • Drive rapid response to process excursions and tool abnormalities.

Data Analysis and Reporting

  • Collect, analyze, and summarize process, metrology, and equipment data.
  • Generate engineering reports, trends, and experiment summaries for review by development teams.
  • Identify abnormal trends and provide recommendations for corrective actions.
  • Maintain accurate documentation of experimental conditions and observations.
  • Provide comprehensive shift handoffs to daytime engineers.

Cross-Functional Collaboration

  • Act as the primary interface between operators, technicians, and daytime development engineers during second-shift operations.
  • Coordinate execution priorities across multiple development programs.
  • Support customer demonstrations, process qualifications, and technology evaluations.
  • Provide technical guidance to operators during development activities.
  • Participate in engineering reviews and communicate key findings and execution risks.

Continuous Improvement

  • Identify opportunities to improve development cycle time, experiment quality, and laboratory efficiency.
  • Assist in developing procedures, training materials, and best practices.
  • Support implementation of new process technologies and hardware platforms.
  • Drive a culture of safety, quality, and operational excellence.

Minimum Qualifications

  • Bachelor's degree in Chemical Engineering, Materials Science, Chemistry, Physics, Mechanical Engineering, Electrical Engineering, or a related STEM field.
  • Strong analytical and troubleshooting skills.
  • Ability to interpret experimental plans and technical data.
  • Experience with statistical analysis and data-driven problem solving.
  • Strong written and verbal communication skills.

Preferred Qualifications

  • 2+ years of engineering, laboratory, semiconductor manufacturing, research, or process development experience (internships and co-op experience may be considered).
  • Experience in semiconductor process development, process engineering, equipment engineering, or advanced manufacturing.
  • Knowledge of DOE methodologies and statistical software such as JMP.
  • Experience with semiconductor process equipment, metrology tools, or laboratory development environments.
  • Familiarity with thin films, plasma processes, ALD, CVD, etch, thermal processing, or related semiconductor technologies.
  • Experience supporting 24/7 manufacturing or development operations.

Success Factors

  • Successful execution of development experiments and qualifications.
  • Quality and timeliness of engineering data collection and analysis.
  • Effective collaboration with operators, technicians, and process engineers.
  • Reduction in development cycle time through efficient execution.
  • Strong equipment and process troubleshooting capability.
  • Detailed and actionable communication between shifts.