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Python Jobs in Spokane, WA (NOW HIRING)

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 ...

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.

Electrical Controls Engineer

Spokane, WA · On-site

$75K - $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 ...

Experience with current software development languages such as Ruby, Python, Java, or Rust, etc. * Experience with front-end web development languages such as HTML, CSS and Javascript * Experience ...

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 Jul 23, 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.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with knowledge of data analysis tools like Pandas and NumPy, enhance job prospects. Certifications and experience with cloud platforms can also improve employability.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in web development, data analysis, machine learning, and automation. Employers seek candidates with strong programming skills, experience with frameworks like Django or Flask, and knowledge of related tools such as Git and cloud platforms. The demand is expected to grow as Python remains a key language for emerging technologies.

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 careers can you do with Python?

Python is a versatile programming language used in various careers such as software development, data analysis, machine learning, web development, automation, and cybersecurity. Professionals often work as developers, data scientists, machine learning engineers, or DevOps specialists, utilizing tools like frameworks, libraries, and cloud platforms. Strong problem-solving skills and knowledge of related technologies enhance job prospects in these fields.

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, senior software engineers, data scientists, and machine learning engineers with extensive experience and advanced skills can earn salaries of $300,000 or more annually. Executive roles such as CTOs and senior management in tech companies also often reach or exceed this compensation level, especially with bonuses and stock options.

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.

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 are popular job titles related to Python jobs in Spokane, WA? For Python jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Python jobs in Spokane, WA look for? The top searched job categories for 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:
Infographic showing various Python job openings in Spokane, WA as of July 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $123,288 per year, or $59.3 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Spokane, WA • On-site

Other

Posted 2 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.