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Remote Data Analytics Instructor Jobs in Spokane, WA

ROI Agency

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 ...

Workiva

Spring 2027 Intern - Data Analytics

Spokane, WA · On-site +1

$22/hr

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

Corporate Tools

Senior Data Engineer

Post Falls, ID · 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 ... As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst ...

Corporate Tools

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 ...

micro1 AI

Commercial Counsel - Remote

Spokane Valley, WA · Remote

$90 - $130/hr

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 ...

micro1 AI

Corporate Counsel - Remote

Spokane Valley, WA · Remote

$90 - $130/hr

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 ...

micro1 AI

General Counsel - Remote

Spokane Valley, WA · Remote

$90 - $130/hr

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 ...

micro1 AI

Commercial Counsel - Remote

Spokane, WA · Remote

$90 - $130/hr

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 ...

micro1 AI

General Counsel - Remote

Spokane, WA · Remote

$90 - $130/hr

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 ...

micro1 AI

Corporate Counsel - Remote

Spokane, WA · Remote

$90 - $130/hr

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 ...

micro1 AI

Legal AI Trainer - Remote

Spokane, WA · Remote

$90 - $150/hr

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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Remote Data Analytics Instructor information

See Spokane, WA salary details

$24

$55

$95

How much do remote data analytics instructor jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote data analytics instructor in Spokane, WA is $55.36, according to ZipRecruiter salary data. Most workers in this role earn between $44.47 and $62.69 per hour, depending on experience, location, and employer.

What does a remote data analytics instructor do?

A Remote Data Analytics Instructor teaches students data analysis concepts and tools through online platforms. They develop and deliver course materials, lead live or recorded lessons, and provide feedback on assignments. Instructors often cover topics like data visualization, statistical analysis, and using software such as Excel, Python, or SQL. Their goal is to help students gain practical skills for analyzing and interpreting data in real-world scenarios.

What are the key skills and qualifications needed to thrive as a remote data analytics instructor?

To thrive as a Remote Data Analytics Instructor, you need a strong background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and industry experience. Familiarity with data analysis tools such as Excel, SQL, Python, R, and learning management systems (LMS) is essential, along with certifications like Tableau or Google Data Analytics. Excellent communication, patience, and the ability to engage and motivate remote learners are valuable soft skills in this role. These skills ensure effective instruction, student engagement, and successful learning outcomes in a virtual environment.

What are some common challenges faced by remote data analytics instructors, and how can they be effectively managed?

Remote Data Analytics Instructors often encounter challenges such as maintaining student engagement in a virtual setting, addressing diverse learning paces, and ensuring clear communication despite not being physically present. To manage these, instructors can leverage interactive teaching tools, schedule regular check-ins, and provide a variety of learning resources to accommodate different student needs. Building a supportive online community and encouraging active participation also help foster a collaborative and effective learning environment.

What is the difference between Remote Data Analytics Instructor vs Remote Data Analyst?

AspectRemote Data Analytics InstructorRemote Data Analyst
Required CredentialsTypically a degree in data science, analytics, or related field; teaching certifications are a plusDegree in data science, statistics, or related field; often requires proficiency in analytics tools
Work EnvironmentOnline teaching platforms, educational institutions, corporate trainingRemote offices, companies, or consulting firms
Employer & Industry UsageEducational institutions, online course providers, corporate training programsBusinesses across industries, consulting firms, finance, healthcare, tech

While both roles involve data skills, a Remote Data Analytics Instructor focuses on teaching and curriculum development in educational settings, whereas a Remote Data Analyst applies data analysis techniques directly to business problems. The roles share similar credentials but differ mainly in their primary responsibilities and work environments.

What are popular job titles related to Remote Data Analytics Instructor jobs in Spokane, WA?

For Remote Data Analytics Instructor jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Instructor jobs in Spokane, WA look for?

The top searched job categories for Remote Data Analytics Instructor jobs in Spokane, WA are:

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Cities near Spokane, WA with the most Remote Data Analytics Instructor job openings:

Remote Data Analytics Instructor jobs near you

Data Engineer IV (Remote)

Spokane, WA • Remote

ROI Agency
See more jobs at ROI Agencyexternal

$117K - $140K/yr

Full-time

Re-posted 10 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