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Engineering Technician, Intermediate

Job in San Diego, San Diego County, California, 92121, USA
Listing for: eTeam Inc.
Full Time position
Listed on 2026-07-01
Job specializations:
  • Engineering
    Maintenance Technician / Mechanic
Job Description & How to Apply Below
Position: Engineering Technician, Intermediate|6087

Job Title:
Engineering Technician, Intermediate

Location:

San Diego, CA (Onsite)
Duration: 5 months


We are seeking a hands-on Engineering Technician to support the deployment, maintenance, and logistics of test equipment in engineering lab environments. This role is critical to ensuring equipment is installed, operational, and readily available to support engineering teams and project timelines.

This position is evolving with AI-enabled tools to improve equipment reliability, optimize calibration, and reduce downtime. You will directly enable engineering productivity by ensuring test equipment is reliable, accessible, and optimized while helping transition engineering technical operations from reactive support to data-driven, predictive performance.

Education Requirement

" Associate's degree.
OR
High School diploma or equivalent and 1+ year of Engineering Technician or related work experience.

Physical Requirements
" Frequently transports and installs equipment weighing at least 25 lbs.

Key Responsibilities
  • Install, configure, and deploy test equipment and bench test set ups.
  • Perform preventive maintenance, calibration tracking, and general diagnostics
  • Troubleshoot equipment issues and support root-cause analysis
  • Manage equipment logistics (transport, tracking, and inventory)
  • Maintain accurate asset records in centralized systems
  • Ensure lab readiness, safety, and compliance (ESD, quality standards)
  • Provide Tier 1 technical support to engineers during testing
  • Document procedures, maintenance activities, and equipment status
  • Use AI-enabled tools to monitor equipment performance, identify trends, and support predictive maintenance
  • Support data collection and validation to improve equipment analytics and AI-driven insights
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