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Afternoon Remote Warehouse Order Selector Jobs in Bothell, WA

Flexe

Manager II, Software Development

Seattle, WA · On-site +1

$182K - $256K/yr

We deliver technology-powered flexible warehousing infrastructure to the world's largest Enterprise ... Fully remote, in-office, or hybrid work environment * Monthly home internet stipend * Employee ...

Sbdinc

Field Sales Representative

Seattle, WA · Remote

$84K - $135K/yr

Field Sales Representative - Remote Seattle, WA and AK, United States - 30% Travel Expected Come ... Submit orders by conferring with technical support staff and Inside Sales/Customer Service.

All JobsAfternoon Warehouse Order Selector JobsAfternoon Remote Warehouse Order Selector JobsAfternoon Remote Warehouse Order Selector Jobs in Bothell, WA

Afternoon Remote Warehouse Order Selector information

See Bothell, WA salary details

$15

$21

$27

How much do afternoon remote warehouse order selector jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for afternoon remote warehouse order selector in Bothell, WA is $21.12, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $22.60 per hour, depending on experience, location, and employer.

What is the difference between Afternoon Remote Warehouse Order Selector vs Morning Warehouse Order Picker?

AspectAfternoon Remote Warehouse Order SelectorMorning Warehouse Order Picker
Work HoursAfternoon shifts, typically 2 PM - 10 PMMorning shifts, typically 6 AM - 2 PM
Work EnvironmentRemote coordination, warehouse floorOn-site warehouse picking
CredentialsBasic warehouse experience, possibly certification in safetySimilar credentials, safety training often required

The Afternoon Remote Warehouse Order Selector and Morning Warehouse Order Picker roles share similar credentials and industry settings. The main difference lies in their shift times and work environment, with the selector working remotely during the afternoon and the picker working on-site in the morning. Both roles involve order fulfillment tasks but cater to different schedules and work settings.

Is an afternoon remote warehouse order selector a hard job?

An afternoon remote warehouse order selector typically involves physical tasks such as picking and packing items using handheld scanners or warehouse management systems. The job requires attention to detail, stamina, and the ability to work independently in a fast-paced environment, but it is generally considered manageable with proper training and safety precautions.

What is the easiest job at an afternoon remote warehouse order selector?

The easiest tasks for an afternoon remote warehouse order selector typically involve simple picking and packing of items using handheld scanners or lists, with minimal physical effort or complex decision-making. These roles often require basic attention to detail and can be less physically demanding than other warehouse tasks, making them suitable for those seeking a straightforward position.

What job categories do people searching Afternoon Remote Warehouse Order Selector jobs in Bothell, WA look for?

The top searched job categories for Afternoon Remote Warehouse Order Selector jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Afternoon Remote Warehouse Order Selector jobs?

Cities near Bothell, WA with the most Afternoon Remote Warehouse Order Selector job openings:

Afternoon Remote Warehouse Order Selector jobs near you

Azure Fabric Data Engineer in Bellevue, WA (Fulltime, Remote)

Bellevue, WA • Remote

Northern Base
See more jobs at Northern Baseexternal

$117K - $140K/yr

Full-time

Posted 3 days ago

New

Job description

Azure Fabric Data Engineer
Bellevue, WA (Remote)
Fulltime
 
Must Have Technical/Functional Skills
Digital : PySpark; Data Warehouse; Data Concepts & Data Modelling; Digital : Big Data Platforms; Data Engineering; Azure Data Factory; Continuous Integration and Continuous Delivery (CI/CD); Communication Skills and Cross Team Collaboration Skills; Azure DevOps;  Git; Advanced SQL
 
Roles & Responsibilities
• Collaborate with business stakeholders to understand data, analytics, and reporting requirements and translate them into scalable technical solutions. 
• Design and develop end-to-end data solutions using Microsoft Fabric, ADF, OneLake, Lakehouse, and Data Warehouse, including scalable data pipelines using PySpark and SQL and Medallion Architecture (Bronze, Silver, Gold) with Delta Tables.
• Build and optimize Lakehouse and Data Warehouse solutions for reporting, analytics, and AI workloads. 
• Define data models, data quality standards, governance, security and performance optimization strategies. 
• Provide technical consulting and best practices for Microsoft Fabric adoption, migration, and modernization initiatives. 
• Design and implement customer data platform (CDP) solutions including customer profile unification, identity resolution, audience segmentation and real-time data activation using Hightouch and Braze. 
• Collaborate with cross-functional teams, including data engineers, architects, analysts, and business stakeholders to deliver high-quality data solutions. 
• Support CI/CD implementation, code reviews, testing, deployment, and production support using Azure DevOps and Git. 
• Prepare technical documentation, solution designs and implementation guidelines. 
• Stay current with Microsoft Fabric, Azure data technologies, and industry best practices to drive continuous innovation.
Generic Managerial Skills, If any
Hightouch;  Braze; Customer Data Platforms (CDP); Digital : Microsoft Power BI; PL/SQL;   Microsoft Power BI; Prior Experience with Threat Modelling and SDL Assessments
 
Specific Requirement 
Heavy customer facing experience. 
Should be able to work in agile manner with the customer & stakeholders. 
• Strong analytical skills 
• Excellent troubleshooting and problem-solving skills 
• Ability to work in a fast paced, agile environment 
• Experience working within a geographically dispersed team and flexibility for coordinating between teams. 
• Excellent Communication skills, communicate effectively and proactively with partner teams in order to solve problems 
• Good Presentation Skills