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Remote Tableau Jobs in Spokane, WA (NOW HIRING)

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 team we have successfully supported for a few years. This is hands-on engineering position requiring ...

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How much do remote tableau jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote tableau in Spokane, WA is $56.87, according to ZipRecruiter salary data. Most workers in this role earn between $46.92 and $67.07 per hour, depending on experience, location, and employer.

What is a Remote Tableau?

A Remote Tableau job involves using Tableau, a data visualization and business intelligence tool, to analyze and present data while working from a remote location. Professionals in this role create dashboards, generate reports, and provide insights to help businesses make data-driven decisions. Common job titles include Tableau Developer, Data Analyst, or BI Consultant. Strong skills in SQL, data visualization, and problem-solving are often required. This role allows flexibility in work location while collaborating with teams through virtual communication tools.

What are the typical responsibilities of a Remote Tableau specialist and how do they collaborate with other team members?

As a Remote Tableau specialist, your main responsibilities include designing interactive dashboards, analyzing data to generate actionable insights, and maintaining data accuracy within Tableau. You’ll often work closely with business analysts, data engineers, and stakeholders through virtual meetings and collaborative platforms to understand data requirements and present findings. Effective communication is vital, as you translate complex technical data into easy-to-understand visualizations for non-technical team members. Additionally, you may be involved in data cleaning and troubleshooting technical issues, contributing to data-driven decision-making across the organization. This collaborative, cross-functional approach ensures your work aligns with broader business goals.

What are the key skills and qualifications needed to thrive in the Remote Tableau position, and why are they important?

To excel as a Remote Tableau specialist, you need strong analytical abilities, proficiency with Tableau software, and experience in data visualization and interpretation, often supported by a background in statistics or computer science. Familiarity with SQL, data modeling tools, and Tableau certifications (such as Tableau Desktop Specialist) are highly advantageous. Excellent communication, problem-solving, and self-motivation are crucial soft skills due to the autonomous and collaborative nature of remote work. These competencies are essential for delivering meaningful insights from complex datasets and for effectively collaborating with distributed teams.

What job categories do people searching Remote Tableau jobs in Spokane, WA look for?

The top searched job categories for Remote Tableau jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Remote Tableau jobs?

Cities near Spokane, WA with the most Remote Tableau job openings:

Infographic showing various Remote Tableau job openings in Spokane, WA as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $118,281 per year, or $56.9 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Re-posted 5 hours 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