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Remote Modeling Simulation Engineer Jobs in Spokane Valley, WA

Data Engineer IV (Remote)

Spokane, WA ยท Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and ...

Data Engineer IV (Remote)

Spokane, WA ยท Remote

$115K - $139K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and ...

Senior Data Engineer

Post Falls, ID ยท On-site +1

$150K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... Improve existing data models while implementing new business capabilities and integration points.

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated security ...

SDLC Engineer - AI Trainer

Spokane, WA ยท Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Evaluate the quality produced by AI models for correctness and performance Qualifications:

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated security ...

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Showing results 1-20

Remote Modeling Simulation Engineer information

See Spokane Valley, WA salary details

$39K

$123.5K

$190.7K

How much do remote modeling simulation engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote modeling simulation engineer in Spokane Valley, WA is $123,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $146,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

How does a Remote Modeling Simulation Engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What are Remote Modeling Simulation Engineers?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

What are the key skills and qualifications needed to thrive as a Remote Modeling Simulation Engineer, and why are they important?

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.
What cities near Spokane Valley, WA are hiring for Remote Modeling Simulation Engineer jobs? Cities near Spokane Valley, WA with the most Remote Modeling Simulation Engineer job openings:

Data Engineer IV (Remote)

ROI Agency

Spokane, WA โ€ข Remote

$117K - $140K/yr

Full-time

Posted 21 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 organizationโ€™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 neededโ€”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.ยท
  • 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:

  • Bachelorโ€™s degree in CS/IT/Data Science or equivalent experience (Masterโ€™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.

Requirements:
None