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Remote Scale Operator Jobs in Post Falls, ID (NOW HIRING)

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM ... Operating with full autonomy, this role engages with Directors, senior architects, and cross ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM ... Operating with full autonomy, this role engages with Directors, senior architects, and cross ...

Omada

Remote Outside Sales Representative

Spokane, WA · Remote

$24.04 - $48.08/hr

... scale. If you're a closer who's tired of splitting your week between prospecting and pipeline ... Founded by experienced operators and backed by world-class investors including HubSpot, we're one ...

Obsidian Security

Senior Support Engineer

Spokane, WA · On-site +1

... scaling rapidly toward long-term growth and IPO readiness. Senior Support Engineer Team ... Global Services & Delivery Location: [Remote / Hybrid - specify] Reports to: Head of Customer ...

Omada.ai

Territory Partner (Closer)

Spokane, WA · Remote

$50K - $100K/yr

Remote Location: United States The Opportunity AI is changing everything. Small businesses deserve ... scale. If you're a closer who's tired of splitting your week between prospecting and pipeline ...

All JobsScale Operator JobsRemote Scale Operator JobsRemote Scale Operator Jobs in Post Falls, ID

Remote Scale Operator information

See Post Falls, ID salary details

$12

$17

$21

How much do remote scale operator jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote scale operator in Post Falls, ID is $17.47, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $19.33 per hour, depending on experience, location, and employer.

What is a remote scale operator?

Remote scale operators are professionals who manage and monitor weighing systems, such as truck or industrial scales, from a remote location. They are responsible for ensuring accurate weight measurements, verifying load records, and maintaining communication with drivers and onsite staff. Their work often involves using specialized software and technology to operate scales, log data, and troubleshoot issues. Remote scale operators play a crucial role in industries like logistics, agriculture, and waste management, where accurate weight tracking is essential.

What is the difference between Remote Scale Operator vs Remote Data Entry Clerk?

AspectRemote Scale OperatorRemote Data Entry Clerk
Required CredentialsHigh school diploma, training in weighing systemsHigh school diploma or equivalent, basic computer skills
Work EnvironmentIndustrial or warehouse settings, remotely monitoring scalesOffice or home-based, entering data into systems
Employer & Industry UsageLogistics, manufacturing, transportationAdministrative, healthcare, retail sectors
Common Search & ComparisonRemote Scale Operator vs Remote Data Entry Clerk

The Remote Scale Operator and Remote Data Entry Clerk roles share similarities in working remotely and requiring basic technical skills. However, the Remote Scale Operator focuses on monitoring and managing weighing systems in industrial environments, often requiring specific training. In contrast, the Remote Data Entry Clerk primarily handles data input tasks in administrative settings. Both roles are essential in their industries but serve different operational functions.

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

To thrive as a Remote Scale Operator, you need attention to detail, basic math skills, and a high school diploma or equivalent. Familiarity with digital scale systems, weighbridge software, and data entry tools is typically required. Strong communication, problem-solving abilities, and reliability help you excel in coordinating with drivers and ensuring accurate records. These skills are crucial for maintaining operational efficiency, regulatory compliance, and accurate transactions in industries like logistics and waste management.

What are some common challenges faced by remote scale operators and how can they be effectively managed?

Remote Scale Operators often face challenges such as maintaining accuracy while managing multiple simultaneous tasks, troubleshooting remote technology issues, and communicating effectively with on-site personnel. Staying organized and using digital tools to track loads and weights can help minimize errors. Establishing clear communication protocols with drivers and facility staff ensures smooth operations, and being proactive about regular system checks can reduce downtime from technical glitches. Continuous learning and adaptability are key to handling the fast-paced and sometimes unpredictable nature of the role.
What cities near Post Falls, ID are hiring for Remote Scale Operator jobs? Cities near Post Falls, ID with the most Remote Scale Operator job openings:
Remote Scale Operator jobs near you

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$115K - $139K/yr

Full-time

Re-posted 12 days ago

Job description

*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.

This is hands-on engineering position requiring the ability evaluate execution layer code.


Data Engineer IV

Position Summary

The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organization’s data ecosystem.

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.

This position is both strategic and hands-on when needed—solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.

Essential Functions:

  • Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.
  • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.
  • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.
  • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.
  • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.
  • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.
  • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.
  • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.·
  • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.
  • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

Basic Qualifications:

  • Bachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred).
  • 10+ years experience in data engineering, data architecture, or distributed systems engineering.
  • Proven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.
  • Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.
  • Deep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.
  • Experience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.
  • Strong grounding in security, compliance, data privacy, and regulatory data handling.

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