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Remote Water Data Analyst Jobs in Spokane, WA (NOW HIRING)

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 ...

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 ...

micro1 AI

Private Funds Attorney - 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 Water Data Analyst information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

How much do remote water data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote water data analyst in Spokane, WA is $83,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 per year, depending on experience, location, and employer.

What is a remote water data analyst?

Remote Water Data Analysts are professionals who collect, process, and interpret water-related data from a distance, often using digital tools and cloud-based software. They monitor water quality, usage, and availability by analyzing data from sensors, satellites, and other remote sources. Their work helps organizations make informed decisions about water resource management, policy, and environmental protection. These analysts typically collaborate with engineers, scientists, and government agencies to ensure water data is accurate and actionable. The remote aspect of the job allows them to perform tasks from anywhere, reducing the need for on-site presence.

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

To thrive as a Remote Water Data Analyst, you need strong analytical skills, a background in environmental science or engineering, and experience with data management and statistical analysis. Familiarity with GIS software, remote sensing tools, and data visualization platforms like Python or R is typically required, along with certifications in water resource management being advantageous. Exceptional attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with remote teams. These skills ensure accurate analysis, informed decision-making, and actionable insights for water resource management in a remote setting.

What are the most common challenges faced by remote water data analysts when working with distributed teams?

Remote Water Data Analysts often encounter challenges related to communication and data accessibility when collaborating with geographically dispersed teams. Since data may come from various sources like sensors, field reports, and different departments, ensuring consistent data quality and timely sharing is critical. Effective collaboration typically relies on strong digital communication skills and familiarity with cloud-based data management platforms. Additionally, maintaining alignment on project goals and data interpretation can require regular virtual meetings and proactive documentation.

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

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

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

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

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Cities near Spokane, WA with the most Remote Water Data Analyst job openings:

Remote Water Data Analyst 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