ZipRecruiter

Log In

2

Full Time Data Science Engineer Jobs in Spokane, WA

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

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 ...

Inland Imaging

AI Solutions Engineer

Spokane, WA · On-site

$89K - $133K/yr

The AI Solutions Engineer is a Full Time, Regular position working Monday-Friday day shift hours ... Bachelor's degree in software engineering, AI, Data Science or equivalent experience. * Experience:

Inland Imaging

AI Solutions Engineer

Spokane, WA · On-site

$89K - $133K/yr

Base Pay Range: $89,137.79 - $133,706.68 The AI Solutions Engineer is a Full Time, Regular position ... Bachelor's degree in software engineering, AI, Data Science or equivalent experience. * Experience:

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

Bachelor's (BA or BS) in computer science, or related field. * 2+ years in a full stack development role * 4+ years of experience working in a data engineer role, or related position. * 2+ years of ...

Gravity Jack

Senior iOS Developer

Spokane, WA · On-site

$60.75 - $78.50/hr

Work with outside data sources and API's * Working with 3D assets and 3D scenes Qualifications * BS ... Computer Science, Engineering, or equivalent experience * 5+ years of software development ...

Gravity Jack

Senior iOS Developer

Spokane, WA · Remote

$60.75 - $78.50/hr

Work with outside data sources and API's * Working with 3D assets and 3D scenes Qualifications * BS ... Computer Science, Engineering, or equivalent experience * 5+ years of software development ...

Gravity Jack

Senior Android Developer

Spokane, WA · On-site

$58.75 - $74.25/hr

Work with outside data sources and API's * Collaborate with multiple engineering teams * Must be ... Work with 3D Assets & 3D Scenes Qualifications * BS degree in Computer Science, Engineering, or ...

Gravity Jack

Senior Android Developer

Spokane, WA

$58.75 - $74.25/hr

Work with outside data sources and API's * Collaborate with multiple engineering teams * Must be ... Work with 3D Assets & 3D Scenes Qualifications * BS degree in Computer Science, Engineering, or ...

next page

Showing results 1-20

All JobsData Science Engineer JobsFull Time Data Science Engineer JobsFull Time Data Science Engineer Jobs in Spokane, WA

Full Time Data Science Engineer information

See Spokane, WA salary details

$45K

$131.2K

$179.5K

How much do full time data science engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for full time data science engineer in Spokane, WA is $131,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $139,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Science Engineer vs Data Analyst?

AspectFull Time Data Science EngineerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; programming skills in Python, R; knowledge of machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentDeveloping models, algorithms, and deploying data solutions in tech or enterprise settingsInterpreting data, creating reports, and supporting decision-making in various industries
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and healthcare sectors

Full Time Data Science Engineers focus on building and deploying machine learning models and advanced data solutions, requiring programming and technical expertise. Data Analysts primarily interpret data, generate reports, and support business decisions with less emphasis on coding or model deployment. Both roles are essential but differ in technical depth and responsibilities.

Are full time data science engineers still in demand?

Full time data science engineers are currently in high demand across various industries due to the increasing reliance on data-driven decision making and AI technologies. Skills in programming, statistical analysis, and machine learning tools like Python, R, and SQL are highly valued, and many organizations seek professionals with these competencies for ongoing projects.

What are popular job titles related to Full Time Data Science Engineer jobs in Spokane, WA?

For Full Time Data Science Engineer jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Full Time Data Science Engineer jobs in Spokane, WA look for?

The top searched job categories for Full Time Data Science Engineer jobs in Spokane, WA are:

Full Time Data Science Engineer jobs near you
Infographic showing various Full Time Data Science Engineer job openings in Spokane, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,159 per year, or $63.1 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Re-posted 29 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