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Remote Customer Master Data Analyst Jobs in Spokane, WA

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ... Bachelor's degree in CS/IT/Data Science or equivalent experience (Master's preferred). * 10+ years ...

DataAnnotation

Treasury Analyst - AI Trainer

Spokane, WA · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... A Master's or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include ...

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 ...

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All JobsCustomer Master Data Analyst JobsRemote Customer Master Data Analyst JobsRemote Customer Master Data Analyst Jobs in Spokane, WA

Remote Customer Master Data Analyst information

See Spokane, WA salary details

$19

$44

$77

How much do remote customer master data analyst jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote customer master data analyst in Spokane, WA is $44.84, according to ZipRecruiter salary data. Most workers in this role earn between $30.87 and $55.91 per hour, depending on experience, location, and employer.

What is the difference between Remote Customer Master Data Analyst vs Remote Data Entry Specialist?

AspectRemote Customer Master Data AnalystRemote Data Entry Specialist
CredentialsTypically requires data management, database, or related certificationsOften requires basic computer skills and typing proficiency
Work EnvironmentCollaborates with teams on data accuracy and integrityFocuses on inputting data into systems, often solo
Industry UsageCommon in finance, healthcare, retail sectorsUsed across various industries for data input tasks
Search/Comparison IntentUnderstanding role scope and skills neededClarifying data entry responsibilities and skills

The Remote Customer Master Data Analyst focuses on managing and maintaining customer data accuracy, often requiring specialized certifications and collaboration within teams. In contrast, the Remote Data Entry Specialist primarily handles data input tasks with basic skills. Both roles are essential in data management but differ in complexity and scope.

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

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

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

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

What cities near Spokane, WA are hiring for Remote Customer Master Data Analyst jobs?

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

Remote Customer Master Data Analyst jobs near you
Infographic showing various Remote Customer Master Data Analyst job openings in Spokane, WA as of August 2026, with employment types broken down into 3% Internship, 59% Full Time, and 38% Contract. Highlights an 100% Remote job distribution, with an average salary of $93,273 per year, or $44.8 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Re-posted 2 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