Paraeducator - Early Childhood (TK-PM) - 18 Hours Week (Anticipated Work Hours: M-F 11:30am-3:00pm) - Golden View Elementary
Updated: June 22
Danville
85.2
0mi
Job Abstract
Paraeducator - Early Childhood (TK-PM) - 18 Hours Week (Anticipated Work Hours: M-F 11:30 am-3:00 pm) - Golden View Elementary at San Ramon Valley Unified School District Application Deadline 6/28/2024 4:30 PM Pacific Date Posted 6/21/2024 Contact Simone Berwick Number of Openings 1 Salary Pay dependent on experience Add'l Salary Info $19.00 - $25.47/hr Length of Work Year 9.5 Months Employment Type Part Time Site Golden View Elementary Hours per Week 18 hrs/wk PC # 43245 Requirements / Qualific... more details
Paraeducator - Early Childhood (TK-PM) - 18 Hours Week (Anticipated Work Hours: M-F 11:30am-3:00pm) - Golden View Elementary at San Ramon Valley Unified School District
Application Deadline
6/28/2024 4:30 PM Pacific
Date Posted
6/21/2024
Contact
Simone Berwick
Number of Openings
1
Salary
Pay dependent on experience
Add'l Salary Info
$19.00 - $25.47/hr
Length of Work Year
9.5 Months
Employment Type
Part Time
Site
Golden View Elementary
Hours per Week
18 hrs/wk
PC #
43245
Requirements / Qualifications
* High School Diploma or equivalent required
* Completion of six (6) semester units of Early Childhood Education OR Child Development Coursework preferred.
PLEASE NOTE: If you have completed coursework in an institution in a country other than the United States, you MUST obtain a FOREIGN TRANSCRIPT EVALUATION.
Letter of Introduction
Letter(s) of Recommendation
Resume
Comments and Other Information
Fingerprint & TB Clearance will be required.
Links Related To This Job
Green Valley
Golden View
Board Policy 4030 Nondiscrimination in Employment
Administrative Regulation 4030 Nondiscrimination in Employment
SRVUSD Home Page
CalPERS Links
Not all postings qualify for CalPERS. Informational Only.
Job Abstracts is an independent Job Search Engine. Job Abstracts is not an agent or representative and is not endorsed, sponsored or affiliated with any employer. Job Abstracts uses proprietary technology to keep the availability and accuracy of its job listings and their details. All trademarks, service marks, logos, domain names, and job descriptions are the property of their respective holder. Job Abstracts does not have its members apply for a job on the jobabstracts.com website. Additionally, Job Abstracts may provide a list of third-party job listings that may not be affiliated with any employer. Please make sure you understand and agree to the website's Terms & Conditions and Privacy Policies you are applying on as they may differ from ours and are not in our control.
Welcome to Job Abstracts
We would like to take a second to Welcome You to Job Abstracts, the nation’s largest Pure Job Board. With over 3.1 million job listings from 15,000+ Companies & Organizations, we help job searchers find careers that match their interests. As an anonymous user, you have probably discovered how easy our system is to use. However, you have just scratched the surface of what we can offer.
We encourage you to Register so you can use our most powerful features: searching with multiple terms, setting up multiple locations, establishing favorite companies, and accessing your search history. If you find a job you like, you can apply directly for it, and then, keep notes on it. We will also keep a lookout for jobs that match your search terms and email you when we find something you may like.
You can register for free and the system is free to use. If you like our system so far, click on Register and unlock the power required by serious job searchers.
Any time you conduct a search, the system shows you job matches, ranked by their Relevance Score (RS).
The score is calculated by a proprietary algorithm that uses Intelligent Machine Learning.
The Relevance Score tells you how well the job opportunity matches your search term or terms.
When not logged in, the system is limited to one search term. Scores for single term matches are usually lower.
When you register, log in, and set up multiple terms prioritized by importance, the jobs found for you will receive a much higher Relevance Score.