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Data Science Project Manager Jobs in Spokane, WA

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns ... Bachelor's degree in CS/IT/Data Science or equivalent experience (Master's preferred). * 10+ years ...

MasTec Industrial

Project Controls Manager

Spokane, WA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Compile, review and analysis of project controls related data * Implement and compile actual and committed cost, budget, progress and schedule data * Create and Manage Internal Monthly Report for ...

Scarsella Bros., Inc.

Project Engineer

Post Falls, ID · On-site

  • Medical

  • Retirement

  • PTO

Perform basic engineering calculations and technical drafting to support field operations * Assist Project Management in gathering and preparing data for submittal or transmittal to the customer ...

Scarsella Brothers, Inc.

Project Engineer

Post Falls, ID · On-site

$110K - $130K/yr

  • Medical

  • Retirement

  • PTO

Perform basic engineering calculations and technical drafting to support field operations * Assist Project Management in gathering and preparing data for submittal or transmittal to the customer ...

Scarsella Brothers, Inc.

Project Engineer

Post Falls, ID · On-site

$70K - $84K/yr

  • Medical

  • Retirement

  • PTO

Perform basic engineering calculations and technical drafting to support field operations * Assist Project Management in gathering and preparing data for submittal or transmittal to the customer ...

Scarsella Bros., Inc.

Project Engineer

Post Falls, ID · On-site

$110K - $130K/yr

  • Medical

  • Retirement

  • PTO

Perform basic engineering calculations and technical drafting to support field operations * Assist Project Management in gathering and preparing data for submittal or transmittal to the customer ...

Walmart

(USA) Realty Project Coach

Spokane, WA · On-site

$80K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in business or related field and 1 year of experience in project management, space management, store design, operations, data analysis, or related area OR 3 years of experience in ...

VOLT

Project Coordinator

Spokane, WA · On-site

$35 - $45/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Work side-by-side with Project Managers, assisting them with all Project Management activities, in ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

Actalent

Project Engineer

Spokane, WA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data center environment based in Spokane. You will develop and manage project plans, schedules, and ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a Metallurgical Data Scientist to join the Kaiser Aluminum onsite team in ... Support plant projects as directed. * Write technical reports summarizing work as well as ...

Actalent

Project Engineer

Spokane, WA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data center and commercial construction projects. As a Project Engineer, you will develop and ... Develop, manage, and maintain project plans, schedules, and scopes of work for offsite ...

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Data Science Project Manager information

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How much do data science project manager jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data science project manager in Spokane, WA is $58.15, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $68.08 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.
What are popular job titles related to Data Science Project Manager jobs in Spokane, WA? For Data Science Project Manager jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Spokane, WA look for? The top searched job categories for Data Science Project Manager jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Data Science Project Manager jobs? Cities near Spokane, WA with the most Data Science Project Manager job openings:
Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Spokane, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $120,947 per year, or $58.1 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Re-posted 21 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