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Trainee Automation Engineer Jobs in Oxnard, CA (NOW HIRING)

Trainee Automation Engineer information

See Oxnard, CA salary details

$39.2K

$113.4K

$172.6K

How much do trainee automation engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for trainee automation engineer in Oxnard, CA is $113,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a trainee automation engineer?

Trainee Automation Engineers are entry-level professionals who assist in designing, developing, testing, and maintaining automated systems in industries such as manufacturing, IT, and process engineering. They work under the supervision of senior engineers to learn about automation tools, programming, and system integration. Their responsibilities often include troubleshooting automation equipment, preparing documentation, and gaining hands-on experience with industry-standard technologies. This role is typically part of a structured training program intended to develop the skills required for a full Automation Engineer position.

What are the key skills and qualifications needed to thrive as a trainee automation engineer?

To thrive as a Trainee Automation Engineer, you need a solid understanding of engineering principles, basic programming skills (such as Python or PLC languages), and a relevant degree in engineering or a related field. Familiarity with automation tools like Siemens or Allen-Bradley PLCs, SCADA systems, and industrial networking is often expected. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for this role. These competencies are essential for designing, troubleshooting, and optimizing automated systems to ensure efficiency and reliability in industrial processes.

What types of projects can a trainee automation engineer expect to work on, and how are tasks typically assigned within the team?

As a Trainee Automation Engineer, you will often be involved in supporting the development, testing, and implementation of automated systems for manufacturing or process environments. Tasks are generally assigned based on current project needs, your technical background, and areas identified for skill development. You can expect to work closely with senior engineers and cross-functional teams, contributing to tasks such as programming PLCs, troubleshooting automation equipment, and assisting with system integration. This collaborative environment helps you build practical experience while gradually taking on more complex responsibilities as you grow within the role.

What is the difference between Trainee Automation Engineer vs Junior Automation Engineer?

AspectTrainee Automation EngineerJunior Automation Engineer
Required CredentialsTypically pursuing or recently completed relevant technical education or certificationsCompleted relevant education, some certifications preferred
Work EnvironmentTraining programs, supervised tasks, entry-level projectsIndependent task execution, project involvement, team collaboration
Employer & Industry UsageInternships, training programs in manufacturing, software, or industrial sectorsEntry-level roles in automation across various industries

The main difference between a Trainee Automation Engineer and a Junior Automation Engineer lies in experience and responsibility. Trainees are often in training or learning phases, focusing on gaining foundational skills, while Junior Automation Engineers have completed their education and are capable of handling tasks with less supervision. Both roles are essential for career development in automation engineering.

What are popular job titles related to Trainee Automation Engineer jobs in Oxnard, CA?

For Trainee Automation Engineer jobs in Oxnard, CA, the most frequently searched job titles are:

What cities near Oxnard, CA are hiring for Trainee Automation Engineer jobs?

Cities near Oxnard, CA with the most Trainee Automation Engineer job openings:

Infographic showing various Trainee Automation Engineer job openings in Oxnard, CA as of June 2026, with employment types broken down into 66% Full Time, 25% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $113,445 per year, or $54.5 per hour.

Senior Scientist / Head of Informatics for Women's Brain Health Initiative in the Psychological & Br

University of California Santa Barbara

Santa Barbara, CA • On-site

Other

Re-posted 8 days ago


University Of California Santa Barbara rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

210th of 622 rated colleges and universities


Job description

Position description
The Bowers Women's Brain Health Initiative (WBHI) seeks a Senior Data Analyst / Head of Informatics to lead and scale the consortium's data science and neuroinformatics infrastructure. This individual will oversee data management, quality control, and analytic pipeline development for large-scale MRI and multimodal datasets across federally and privately funded studies.
This position is designed for a scholar who can build reproducible, scalable workflows while fostering a collaborative, open-science culture. The successful candidate will work closely with PIs, trainees, and research coordinators to ensure that WBHI's data ecosystem is rigorous, secure, and future-facing.
This role offers the opportunity to shape the informatics backbone of a growing research consortium focused on advancing women's brain health across the lifespan.
Informatics Leadership & Strategy
Develop and oversee WBHI's data architecture and informatics strategy across multiple grants and study sites.
Establish best practices for data governance, documentation, harmonization, and reproducibility.
Lead the design and implementation of scalable, modular analytic pipelines for structural, functional, and diffusion MRI, as well as multimodal data (e.g., clinical, behavioral, multi-omics).
Guide decisions around computing infrastructure (local HPC, cloud platforms, containerization).
Data Management & Quality Control
Implement standardized data ingestion, organization (e.g., BIDS-compliant), and version control systems.
Oversee automated and manual quality control (QC) pipelines for MRI and related datasets.
Develop dashboards or reporting tools for monitoring data completeness, QC metrics, and study progress.
Ensure compliance with institutional, federal, and sponsor data security and sharing requirements.
Pipeline Development & Advanced Analytics
Build and maintain reproducible workflows using tools such as Python, R, Bash, Docker/Singularity, Git, and workflow engines (e.g., Snakemake, Nextflow).
Integrate established neuroimaging tools (e.g., FSL, FreeSurfer, AFNI, ANTs, fMRIPrep, QSIPrep) into standardized processing streams.
Support advanced modeling approaches including network analysis, multivariate methods, machine learning, and longitudinal modeling.
Contribute to data harmonization across multi-site studies and large consortia datasets.
Team Building & Mentorship
Supervise data analysts and research staff as the informatics team grows.
Train students, postdocs, and staff in best practices for data management and reproducible research.
Foster a collaborative, transparent, and open-science culture aligned with leading neuroinformatics groups.
Partner with investigators on grant applications, including drafting data management and analysis plans.
Collaboration & Dissemination
Contribute intellectually to manuscripts, conference presentations, and grant proposals.
Engage with national and international neuroimaging and data science communities.
Promote open science principles, including code sharing, documentation, and reproducible workflows.
Qualifications
Basic qualifications (required at time of application)
-PhD in neuroscience, bioinformatics, biomedical engineering, statistics, computer science, or related field.
Additional qualifications (required at time of start)
-5+ years of experience working with neuroimaging data (structural MRI, fMRI, diffusion MRI).
One or more years of Demonstrated expertise in:
Python and/or R
Unix/Linux environments
Workflow automation and pipeline development
Version control (Git)
Preferred qualifications
-Excellent communication skills.
-Proven ability to manage complex datasets across multiple projects.
-Experience leading or contributing to large-scale neuroimaging initiatives or consortia.
-Familiarity with multimodal integration (e.g., imaging + clinical + hormonal + genetics).
-Experience with cloud computing platforms (e.g., AWS, GCP) and containerization.
-Background in longitudinal modeling or machine learning applications in neuroimaging.
-Experience supervising technical staff or trainees.
-Experience implementing BIDS standards and MRI quality control workflows.
-Strong understanding of reproducible research principles and computational best practices.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Samples of Scholarly Work - 1-3 samples of published, in print, submitted, or in-preparation scholarly work (article, book chapter, book, writing sample, etc.). - co-authorship on peer-reviewed publications

Reference requirements
  • 3 required (contact information only)

References for finalist(s) may be contacted by phone/email after interviews.
Apply link: https://recruit.ap.ucsb.edu/JPF03071
Help contact: pamelawilks@ucsb.edu
About UC Santa Barbara
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, students and third parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Additionally, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Job location
Remote or Santa Barbara, CA

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