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Remote Warehouse Worker Jobs in Riverside, CA (NOW HIRING)

Sbdinc

Field Sales Representative, Walnut, CA

Walnut, CA · Remote

$84K - $135K/yr

As a Field Sales Representative, you'll be part of our Nelson Stud Welding Sales team working as a remote employee. Support by our regional warehouse in Walnut, CA, this territory includes Southern ...

Karma Automotive

Sr. Engineer II - Software Design

Irvine, CA · Remote

$130K - $172K/yr

You'll also be working with cross-functional teams to analyze this data to detect vehicle issues ... Build and maintain data warehouses, data lakes, and data marts to store and organize structured and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Working closely with product managers, engineering teams, and business stakeholders, this position ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

All JobsWarehouse Worker JobsRemote Warehouse Worker JobsRemote Warehouse Worker Jobs in Riverside, CA

Remote Warehouse Worker information

See Riverside, CA salary details

$11

$18

$23

How much do remote warehouse worker jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for remote warehouse worker in Riverside, CA is $18.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $19.57 per hour, depending on experience, location, and employer.

What is a remote warehouse worker?

A remote warehouse worker is someone who performs warehouse-related tasks, such as inventory management, order processing, and logistics coordination, from a location outside of the physical warehouse. They often use digital tools and software to monitor stock levels, track shipments, and communicate with on-site staff. This role is becoming more common as warehouses adopt automation and cloud-based systems, allowing certain responsibilities to be handled remotely. Remote warehouse workers help streamline operations and ensure accuracy, even without being physically present.

What are some common challenges faced by remote warehouse workers and how can they be addressed?

Remote warehouse workers often encounter challenges related to communication and coordination with on-site teams, as well as adapting to digital inventory management systems. Staying organized and proactive in reporting issues or discrepancies is vital. Regular virtual meetings, clear documentation, and leveraging collaboration tools can help bridge the gap and ensure smooth operations. Embracing continuous learning of new warehouse technologies also supports success in this evolving role.

What are the key skills and qualifications needed to thrive as a remote warehouse worker, and why are they important?

To thrive as a Remote Warehouse Worker, you need strong organizational skills, attention to detail, and basic knowledge of inventory management, often supported by a high school diploma or equivalent. Familiarity with warehouse management systems (WMS), barcode scanners, and remote collaboration tools is typically required. Effective communication, time management, and self-motivation are essential soft skills for working independently and coordinating with on-site teams. These skills ensure accurate inventory tracking, efficient workflow, and seamless remote support for warehouse operations.

What is the difference between Remote Warehouse Worker vs Warehouse Associate?

AspectRemote Warehouse WorkerWarehouse Associate
Work EnvironmentPrimarily remote tasks, such as inventory management, coordination, and administrative duties, with occasional on-site visitsOn-site physical tasks including stocking, picking, packing, and moving inventory
Required CredentialsBasic warehouse knowledge, computer skills, possibly certifications in inventory softwareHigh school diploma or equivalent, physical ability for manual tasks
Industry UsageUsed in logistics companies, e-commerce warehouses, and distribution centers with remote coordination rolesCommon in physical warehouse environments across retail, manufacturing, and distribution sectors

Remote Warehouse Workers focus on administrative and coordination tasks from a remote location, while Warehouse Associates perform physical tasks on-site. Both roles are essential in the supply chain, but they differ mainly in work environment and daily responsibilities.

What are the most commonly searched types of Warehouse Worker jobs in Riverside, CA?

The most popular types of Warehouse Worker jobs in Riverside, CA are:

What are popular job titles related to Remote Warehouse Worker jobs in Riverside, CA?

For Remote Warehouse Worker jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Warehouse Worker jobs in Riverside, CA look for?

The top searched job categories for Remote Warehouse Worker jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Warehouse Worker jobs?

Cities near Riverside, CA with the most Remote Warehouse Worker job openings:

Remote Warehouse Worker jobs near you
Infographic showing various Remote Warehouse Worker job openings in Riverside, CA as of September 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $37,562 per year, or $18.1 per hour.

Data Engineer GCP AWS & Databricks

Redlands, CA • Remote

iShare Inc
See more jobs at iShare Incexternal

$45 - $50/hr

Full-time

Posted 4 days ago

Job description

Data Engineer – GCP, AWS & DatabricksLocation: Remote – United States
Employment Type: Contract
Experience Required: 6+ Years
Position Overview
We are seeking an experienced Data Engineer to design, develop, and maintain scalable cloud-based data pipelines and data platforms. The ideal candidate will have strong hands-on experience with GCP, AWS, Databricks, Apache Spark, PySpark, Python, and SQL.
This role requires expertise in building reliable ETL/ELT pipelines, integrating data from multiple sources, and optimizing cloud data solutions for performance, security, scalability, and cost.
Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT data pipelines.
  • Build cloud-based data solutions using GCP and AWS services.
  • Use Databricks, Apache Spark, and PySpark for large-scale data processing.
  • Integrate structured, semi-structured, and unstructured data from multiple sources.
  • Develop and optimize batch and real-time data-processing workflows.
  • Improve pipeline performance, reliability, scalability, and cost efficiency.
  • Implement data-quality checks, monitoring, security, and governance standards.
  • Design and support cloud data warehouses and data lakes.
  • Troubleshoot production issues and perform root-cause analysis.
  • Collaborate with data architects, analysts, application teams, and business stakeholders.
  • Create and maintain technical documentation for pipelines, data models, and workflows.
Required Qualifications
  • 5+ years of professional data engineering experience.
  • Strong hands-on experience with both GCP and AWS.
  • Expertise in Databricks, Apache Spark, and PySpark.
  • Strong programming skills in Python and SQL.
  • Proven experience developing ETL/ELT pipelines and cloud data platforms.
  • Experience with data warehouses, data lakes, and dimensional data modeling.
  • Experience with orchestration tools such as Apache Airflow or Google Cloud Composer.
  • Understanding of data security, governance, monitoring, and quality frameworks.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with GCP services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
  • Experience with AWS services such as S3, Glue, EMR, Redshift, Lambda, and Kinesis.
  • Familiarity with Delta Lake and Databricks Lakehouse architecture.
  • Experience with streaming technologies such as Apache Kafka.
  • Familiarity with CI/CD, Git, Terraform, and cloud infrastructure automation.
  • Experience working in Agile development environments.
Must-Have Skills
GCP | AWS | Databricks | Apache Spark | PySpark | Python | SQL | ETL/ELT | Airflow/Cloud Composer | Data Warehousing | Data Lakes

This is a remote position.