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Remote Data Analytics Teaching Jobs in Spokane, WA

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 ... Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ...

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 ... Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ...

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

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Cheminformatics Specialist - Remote

Spokane, WA ยท On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Treasury Analyst - AI Trainer

Spokane, WA ยท Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ...

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Remote Data Analytics Teaching information

See Spokane, WA salary details

$24

$55

$95

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

As of Aug 6, 2026, the average hourly pay for remote data analytics teaching 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 is the difference between Remote Data Analytics Teaching vs Remote Data Analyst?

AspectRemote Data Analytics TeachingRemote Data Analyst
Required CredentialsTypically requires a degree in data science, education, or related field; teaching certifications may be preferredUsually requires a degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentPrimarily online, involving lesson planning, virtual instruction, and student engagementPrimarily online, involving data analysis, reporting, and collaboration with teams
Employer & Industry UsageEducational institutions, online training platforms, corporate training programsBusinesses, tech companies, finance, healthcare, and consulting firms

Remote Data Analytics Teaching focuses on educating students or professionals about data analysis concepts, often requiring teaching credentials. In contrast, Remote Data Analysts analyze data to provide insights, requiring strong analytical skills and relevant certifications. Both roles are predominantly remote and industry-specific, but their core functions differ: teaching versus analysis.

What are popular job titles related to Remote Data Analytics Teaching jobs in Spokane, WA? For Remote Data Analytics Teaching jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Teaching jobs in Spokane, WA look for? The top searched job categories for Remote Data Analytics Teaching jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Remote Data Analytics Teaching jobs? Cities near Spokane, WA with the most Remote Data Analytics Teaching job openings:
Infographic showing various Remote Data Analytics Teaching job openings in Spokane, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $115,140 per year, or $55.4 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA โ€ข Remote

$115K - $139K/yr

Full-time

Re-posted 14 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 null