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Python Jobs in Spokane, WA (NOW HIRING)

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing. * Deep understanding of data modeling (conceptual, logical, physical ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing. * Deep understanding of data modeling (conceptual, logical, physical ...

F5, Inc.

Solutions Engineer II

Liberty Lake, WA · On-site +1

$86K - $129K/yr

Exposure to programming languages such as Python, JavaScript, or Golang. * Understanding of Kubernetes concepts and architectures. * Familiarity with PKI concepts. * Experience building and ...

HEICO

Engineer I-Absolute Aviation

Cheney, WA · On-site

Knowledge of computer programming languages such as C, Python, C# and VB.Net. * Knowledge of Quality Management System (QMS) practices and familiarity with ISO certifications. * Ability to understand ...

WAGSTAFF INC

Electrical Controls Engineer

Spokane, WA · On-site

$65K - $90K/yr

Gain proficiency in and configure, troubleshoot, and commission, PLC, and SCADA automation software for various industrial machine controls including, Ladder Logic, Python, Factory Talk, Studio 5000 ...

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

Experience in large dataset collection, integration, and visualization by using Excel, SQL, Mintab, Python, etc. * Background in aluminum manufacturing, physical, and mechanical metallurgy.

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How much do python jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for python in Spokane, WA is $59.27, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $67.31 per hour, depending on experience, location, and employer.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve working in environments that emphasize scripting, data processing, or web development.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What jobs can I get in Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity analyst. These jobs often require knowledge of frameworks like Django or Flask, data analysis libraries such as Pandas, and proficiency in scripting and problem-solving. Python skills are valuable across industries like technology, finance, healthcare, and research.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What jobs in the US pay 300,000 a year?

In the US, high-paying roles for Python developers typically include senior software engineers, data scientists, machine learning engineers, and technical leads, especially in finance, technology, and consulting firms. These positions often require advanced skills, extensive experience, and sometimes specialized certifications, with salaries reaching or exceeding $300,000 annually in competitive markets.

What are the key skills and qualifications needed to thrive as a Python Developer, and why are they important?

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What Is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

More about Python jobs
What are the most commonly searched types of Python jobs in Spokane, WA? The most popular types of Python jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Python jobs? Cities near Spokane, WA with the most Python job openings:
Python jobs near you
Infographic showing various Python job openings in Spokane, WA as of June 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $123,288 per year, or $59.3 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$115K - $139K/yr

Full-time

Posted 6 days ago

Key responsibilities

  • 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 such as warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.

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.

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