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Remote Cyber Security Data Analyst Jobs in Spokane, WA

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

This is a remote position, but if you're near one of our local offices, you're welcome to come ... As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst ...

SEO Analyst

Post Falls, ID · On-site +1

$85K/yr

Overview As an SEO Analyst, your role is to make meaning out of messy data and help shape smarter ... This is a remote position. Our main office is in Spokane, WA, and we have satellite offices in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

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Showing results 1-20

Remote Cyber Security Data Analyst information

See Spokane, WA salary details

$43.5K

$100.5K

$151.7K

How much do remote cyber security data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote cyber security data analyst in Spokane, WA is $100,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,400.00 and $116,800.00 per year, depending on experience, location, and employer.

What is a remote cyber security data analyst?

A Remote Cyber Security Data Analyst is a professional who works from a remote location to monitor, analyze, and interpret data related to an organization's cybersecurity. Their main role is to identify potential threats, detect security breaches, and provide actionable insights to help protect digital assets. They use various data analysis tools and techniques to spot vulnerabilities and unusual patterns that could indicate cyber attacks. Collaboration with other IT and security staff is essential, even while working offsite, to ensure comprehensive cybersecurity coverage. This role often requires strong analytical skills, attention to detail, and proficiency with cybersecurity frameworks and data analysis tools.

What are the key skills and qualifications needed to thrive as a remote cyber security data analyst?

To thrive as a Remote Cyber Security Data Analyst, you need strong analytical abilities, a thorough understanding of cybersecurity principles, and experience with data analysis, typically supported by a degree in computer science, cybersecurity, or a related field. Proficiency with SIEM tools, data visualization platforms, scripting languages (such as Python), and certifications like CompTIA Security+ or CISSP are highly valued. Attention to detail, problem-solving skills, and effective remote communication are crucial soft skills for excelling in this role. These competencies enable analysts to identify threats, interpret complex data, and collaborate securely and efficiently in distributed environments.

How does a remote cyber security data analyst typically collaborate with other teams while working offsite?

As a Remote Cyber Security Data Analyst, collaboration with other teams is often facilitated through digital communication tools such as video conferencing, instant messaging, and shared documentation platforms. You’ll regularly coordinate with IT, incident response, and network operations teams to analyze security data, investigate threats, and implement solutions. Clear communication and proactive updates are essential, as you'll often work across time zones and rely on structured reporting to ensure everyone stays informed. Building strong virtual relationships helps streamline workflows and ensures timely resolution of security incidents.

What is the difference between Remote Cyber Security Data Analyst vs Remote Cyber Security Engineer?

AspectRemote Cyber Security Data AnalystRemote Cyber Security Engineer
CertificationsCompTIA Security+, GIAC certificationsCertified Information Systems Security Professional (CISSP), GIAC certifications
Work EnvironmentData analysis, threat detection, reportingSystem design, implementation, security architecture
Employer UsageTech companies, finance, healthcareSecurity firms, large enterprises, government agencies

While both roles focus on cybersecurity, the Remote Cyber Security Data Analyst primarily analyzes security data to identify threats and vulnerabilities, whereas the Remote Cyber Security Engineer designs and implements security solutions. The analyst role emphasizes data interpretation and reporting, while the engineer role involves hands-on system security management.

What are popular job titles related to Remote Cyber Security Data Analyst jobs in Spokane, WA?

For Remote Cyber Security Data Analyst jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Remote Cyber Security Data Analyst jobs in Spokane, WA look for?

The top searched job categories for Remote Cyber Security Data Analyst jobs in Spokane, WA are:

Infographic showing various Remote Cyber Security Data Analyst job openings in Spokane, WA as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $100,505 per year, or $48.3 per hour.

Data Engineer IV (Remote)

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Re-posted 8 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.

Requirements:
None