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Remote Python Programmer Jobs in Vashon, WA (NOW HIRING)

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... NLP with Python in a programming intensive role. * 6-8 years of strong experience in Python ...

Data Processing Programmer

Renton, WA ยท On-site +1

$80K - $110K/yr

KP is looking for a Hybrid/Remote Data Processing Programmer . The ideal candidate possesses strong ... Develop automation solutions utilizing Quadient Inspire, BBC Architect, KNIME, Redpoint, Python ...

Senior DevOps Engineer

Seattle, WA ยท Remote

$133K - $170K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... Automate provisioning, deployment, and operational workflows using Python scripting. * Build and ...

Sr. Network Security Engineer

Redmond, WA ยท Remote

$165K - $235K/yr

Own the full lifecycle of remote access infrastructure from initial design and ground-up ... Develop automation and CI/CD workflows (Python or similar) to streamline deployment, policy ...

Systems Support Engineer

Tacoma, WA ยท On-site +1

$55 - $58/hr

Exposure to programming language ecosystems (e.g., Python, C++). * Experience with code editors and remote or cloud-based development environments. * Comfort with public cloud platforms (e.g., a ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

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Remote Python Programmer information

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How much do remote python programmer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote python programmer in Vashon, WA is $74.81, according to ZipRecruiter salary data. Most workers in this role earn between $68.65 and $79.23 per hour, depending on experience, location, and employer.

Are remote Python programmers in demand?

Remote Python programmers are in high demand across various industries due to the language's versatility and widespread use in web development, data analysis, and automation. Companies seek skilled Python developers who can work independently and often require knowledge of frameworks like Django or Flask, as well as experience with cloud platforms and version control tools.

What are some common challenges faced by remote Python programmers, and how can they be addressed?

Remote Python programmers often encounter challenges such as maintaining clear communication with team members across different time zones, managing self-discipline while working independently, and ensuring effective collaboration on codebases. To address these issues, it's important to proactively participate in virtual meetings, use collaborative tools like version control systems (e.g., Git), and establish a structured daily routine. Staying engaged with team chat channels and leveraging project management platforms also helps facilitate smooth workflow and keeps everyone aligned.

What is a remote Python programmer?

Remote Python programmers are software developers who specialize in the Python programming language and work from locations outside of a traditional office environment. They design, build, and maintain applications, scripts, or systems using Python, collaborating with teams and clients through online tools. This role typically requires strong problem-solving skills, familiarity with remote work tools, and the ability to communicate effectively in a distributed team setting.

How much do remote Python programmers make?

Remote Python programmers typically earn between $60,000 and $120,000 annually, depending on experience, location, and skill level. Senior developers with specialized knowledge in frameworks like Django or Flask and proficiency in tools such as Git may command higher salaries, especially in competitive markets or for contract roles.

What are the key skills and qualifications needed to thrive as a remote Python programmer?

To thrive as a Remote Python Programmer, you need strong proficiency in Python programming, problem-solving abilities, and a background in computer science or related fields. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and frameworks like Django or Flask is typically required. Excellent communication, self-motivation, and time-management skills are essential for effective remote collaboration. These skills ensure you can deliver high-quality code independently, work efficiently across distributed teams, and adapt to evolving project requirements.

What is the difference between Remote Python Programmer vs Remote Data Analyst?

AspectRemote Python ProgrammerRemote Data Analyst
Required SkillsPython, programming, scripting, APIsData analysis, SQL, Excel, visualization
CertificationsPython certifications, coding bootcampsData analysis certifications, SQL certifications
Work EnvironmentRemote, tech companies, startupsRemote, finance, healthcare, consulting
Industry UsageSoftware development, automation, backend servicesBusiness intelligence, reporting, data-driven decision making

While both roles often work remotely and require analytical skills, Remote Python Programmers focus on coding and software development using Python, whereas Remote Data Analysts specialize in interpreting data and creating reports. The choice depends on whether you prefer programming and building applications or analyzing data to inform business decisions.

Python Engineer (China or USA - Remote)

Braintrust

Seattle, WA โ€ข Remote

$40 - $60/hr

Full-time

Posted 7 days ago


Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description
About this role

As a Senior Python Engineer, you will work remotely on an hourly paid basis to review AI-generated Python solutions and technical explanations, as well as generate high-quality reference content that demonstrates strong software engineering practices. You will assess solutions for correctness, code quality, performance, and adherence to the prompt; identify errors in logic, architecture, or methodology; fact-check technical information; craft clear, step-by-step explanations and exemplary solutions; and rate and compare multiple AI responses based on their reasoning quality and implementation soundness. This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the worldโ€™s largest AI companies and foundation model labs, where your Python expertise will directly help improve the worldโ€™s premier AI models.

Your profile
  • Bachelorโ€™s degree or higher in Computer Science, Software Engineering, Mathematics, or a closely related technical field.
  • 7+ years of professional software engineering experience, with significant hands-on work in Python on production systems.
  • Deep knowledge of Python language features, the standard library, and common ecosystems such as web frameworks, data tooling, or backend services.
  • Strong understanding of algorithms, data structures, system design, and performance optimization in Python applications.
  • Proven experience designing, reviewing, and improving high-quality Python codebases, including code review and mentoring responsibilities.
  • Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
  • Comfort working with modern tooling such as version control systems, CI/CD pipelines, testing frameworks, and containerization technologies.
  • Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
  • Highly detail-oriented, with a structured and methodical approach to evaluating reasoning quality and identifying subtle errors in technical solutions.
  • Minimum C1 Chinese proficiency (written and spoken)
Key responsibilities
  • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
  • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
  • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.