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Remote Data Mapping 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 ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · 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 ...

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 ...

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 ...

DataAnnotation

Treasury Analyst - AI Trainer

Spokane, WA · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsData Mapping Analyst JobsRemote Data Mapping Analyst JobsRemote Data Mapping Analyst Jobs in Spokane, WA

Remote Data Mapping Analyst information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

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

As of Jul 16, 2026, the average yearly pay for remote data mapping 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.

How does a Remote Data Mapping Analyst typically collaborate with cross-functional teams to ensure accurate data integration?

As a Remote Data Mapping Analyst, you'll regularly interact with IT, business analysts, and project managers to understand data requirements and ensure that data from various sources is accurately mapped and integrated into target systems. Collaboration often takes place through virtual meetings, documentation sharing, and project management tools. You may need to clarify data definitions, resolve mapping discrepancies, and provide updates on progress, making strong communication skills and attention to detail essential. Building relationships with stakeholders across departments helps streamline workflows and ensures the success of data integration projects.

What is the difference between Remote Data Mapping Analyst vs Data Analyst?

AspectRemote Data Mapping AnalystData Analyst
Required CredentialsBachelor's in IT, Data Management, or related field; familiarity with data mapping toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentRemote, often collaborating with IT and data teamsRemote or on-site, working with business units and management
Industry UsageIT, Data Management, Software DevelopmentFinance, Marketing, Healthcare, Business
Common Search/ComparisonYesYes

The Remote Data Mapping Analyst primarily focuses on translating data between systems, ensuring data integrity during migrations or integrations. In contrast, a Data Analyst interprets data to generate insights, reports, and support decision-making. While both roles require data skills, the analyst emphasizes data transformation and mapping, whereas the data analyst emphasizes analysis and reporting.

What are the key skills and qualifications needed to thrive as a Remote Data Mapping Analyst, and why are they important?

To thrive as a Remote Data Mapping Analyst, you need a strong background in data analysis, database management, and data migration, typically supported by a degree in computer science or a related field. Proficiency with ETL (Extract, Transform, Load) tools, SQL, data mapping software, and familiarity with data integration platforms is essential. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret requirements and collaborate across remote teams. These skills ensure accurate data transformation and integration, which are critical for maintaining data integrity and supporting business operations.

What is a Remote Data Mapping Analyst?

A Remote Data Mapping Analyst is a professional who works from a remote location to analyze, organize, and translate data from various sources into a structured format. Their primary role involves identifying relationships between different data sets, ensuring data consistency, and supporting data integration projects. They often collaborate with IT teams, data engineers, and business analysts to implement data solutions that improve data quality and accessibility. This job requires strong analytical skills, attention to detail, and proficiency with data mapping tools and software.
What are popular job titles related to Remote Data Mapping Analyst jobs in Spokane, WA? For Remote Data Mapping Analyst jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Mapping Analyst jobs in Spokane, WA look for? The top searched job categories for Remote Data Mapping Analyst jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Remote Data Mapping Analyst jobs? Cities near Spokane, WA with the most Remote Data Mapping Analyst job openings:
Remote Data Mapping Analyst jobs near you
Infographic showing various Remote Data Mapping Analyst job openings in Spokane, WA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $83,559 per year, or $40.2 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Posted 23 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