United States · California · location 102

Amazon warehouse hiring history in MALIBU

A research-first view of distinct public Job IDs, archive coverage and role metadata previously associated with MALIBU, California.

Historical archiveLatest retained June 25, 2026
2distinct public Job IDs
5active calendar months
1recent distinct records
September 28, 2025archive begins

What the snapshot says — and does not say

The archive does not estimate workforce size; it records 2 distinct public Job IDs for MALIBU, California. September 2025 marks the beginning of the retained timeline and June 2026 its latest point; the active-month count is 5.

The retained chronology closes at June 25, 2026; future observations can extend or change the picture.

The preserved title vocabulary is specific: Locker+ Retail Associate. It is reported as history, not forecast. Normalized job-type metadata includes Flex Time; these are source categories, not a promise of future schedules.

The archive links the city to postal areas 90265 and employment types Regular.

Among retained pay fields, the largest hourly value is $18.40. It should be treated as historical metadata.

Archive-relative context puts the city at #682 of 1,145 on distinct Job IDs and #750 of 1,145 on active months, without implying better hiring odds. History cannot predict the next opening, but it can help a visitor configure a narrower, more deliberate MALIBU alert.

No period total is used to imply hiring volume. Distinct Job IDs, canonical geography and source fields define the public claims.

Two measures across related city records

This bounded table compares MALIBU with up to four California location records closest by distinct Job ID count. It measures archive evidence only—not hires, applications, demand or future availability.

  1. Goleta2Job IDs5active months
  2. Grass Valley2Job IDs5active months
  3. La Jolla2Job IDs5active months
  4. Laguna Niguel2Job IDs5active months
  5. MALIBU2Job IDs5active months

What recent metadata preserves

MALIBU exposes 10 validated fact dimensions in this build. The labels below come from the snapshot; absent fields are not inferred.

01

Distinct public Job IDs

  • 2
02

Recent distinct titles

  • Locker+ Retail Associate
03

Normalized job categories

  • Flex Time
04

Employment metadata

  • Regular
05

Postal-area sample

  • 90265
06

Highest preserved hourly rate

  • $18.40 per hour

How to use these facts before an alert

The checklist is assembled from fields available for MALIBU. It helps define a useful alert without implying that the archive predicts another opening.

  1. 01

    Test the location in advance

    Estimate travel to the MALIBU area, including the retained postal references 90265, and decide which shift times would be workable.

  2. 02

    Translate history into filters

    Review the observed category set — Flex Time — and choose only the work patterns you would realistically consider.

  3. 03

    Recheck compensation and schedule

    The archive contains a maximum retained rate of $18.40 per hour. Treat it as historical context and compare it with the exact pay and schedule on a new official listing.

  4. 04

    Verify every detected match

    Use monitoring for discovery, then confirm title, address, employment type, eligibility and availability through the official hiring process.

Recent listing metadata, one row per Job ID

Duplicate appearances of the same Job ID are collapsed. This recent sample is limited to 1 distinct record and is not the full city history.

JOB-US-0000016517

Locker+ Retail Associate

Employment
Regular
Postal area
90265
Retained observation

The location record across time

The inclusive archive boundary covers 10 calendar months. Stored observations occur in 5 of them, a derived coverage ratio of 50%. This ratio describes the record's distribution, not hiring intensity.

50%5 active of 10 archive months
First retained
September 28, 2025
Latest retained
June 25, 2026
Active / span
5 / 10 months

Get notified when a matching opening appears

ZemGuru helps you understand the historical picture. ShiftSniper is the primary service that monitors public Amazon hiring pages and can send a Telegram message after it observes a new match for MALIBU, United States. You always review availability and apply through the official hiring process.

Historical data boundary

This page does not claim that Amazon is currently hiring in MALIBU. It does not predict a future opening and does not replace the official hiring process.

Read the full methodology →