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Remote Python Jobs in Santa Rosa, CA (NOW HIRING)

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Software Engineer, Cash App Banking

Bodega Bay, CA · On-site +1

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since ...

Block

Senior Software Engineer, Cash App Banking

Bodega Bay, CA · On-site +1

$145K - $191K/yr

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since ...

WEX

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Experience with Python, Java, event-driven architecture and tools like Kafka * Experience working ...

eNett

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Experience with Python, Java, event-driven architecture and tools like Kafka * Experience working ...

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All JobsRemote Python JobsRemote Python Jobs in Santa Rosa, CA

Remote Python information

See Santa Rosa, CA salary details

$14

$64

$94

How much do remote python jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote python in Santa Rosa, CA is $64.09, according to ZipRecruiter salary data. Most workers in this role earn between $52.84 and $72.79 per hour, depending on experience, location, and employer.

What are Remote Python jobs?

Remote Python jobs are positions where you work primarily with the Python programming language but do so from a location outside of a traditional office, such as your home or another remote location. These jobs can include roles like software developer, data analyst, backend engineer, or machine learning engineer, all of which use Python for building applications, analyzing data, or automating tasks. Remote Python jobs are popular due to Python's versatility and the growing demand for flexible work arrangements in the tech industry.

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

To thrive as a Remote Python Developer, you need strong programming skills in Python, experience with software development life cycles, and a relevant degree or professional experience. Familiarity with tools like Git, Docker, cloud platforms (e.g., AWS), and frameworks such as Django or Flask is typically required, along with knowledge of remote collaboration tools like Slack and Jira. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote team integration and project delivery. These skills ensure efficient, high-quality code development, seamless teamwork, and the ability to meet project goals independently in a remote environment.

What Are Remote Jobs That Use Python?

Remote jobs that use Python focus on coding software and applications to meet the needs or business objectives of your employer. This may involve working with a database, customizing an existing application, or otherwise modifying software based on its expected environment. You can also find a few remote roles that allow you to teach Python instead of using it. Many remote jobs that use Python also involve coding in other common languages as necessary—Python may be the bulk of the work, but the ability to switch to other modes of programming as needed is essential for success in this field. As a remote employee or independent contractor, you may use virtual office software to coordinate with others, upload software into a central database for testing, or work odd hours to meet the needs of your client.

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

AspectRemote PythonRemote Data Analyst
Required SkillsPython programming, scripting, libraries (e.g., Pandas, NumPy)Data analysis, SQL, Excel, visualization tools
CertificationsPython certifications, data science coursesData analysis certifications, SQL certifications
Work EnvironmentRemote, tech companies, startupsRemote, finance, marketing, consulting firms
Industry UsageSoftware development, automation, backend servicesBusiness intelligence, market research, reporting

Remote Python roles focus on coding, automation, and software development using Python, while Remote Data Analysts analyze data sets to generate insights. Both roles often work remotely and require analytical skills, but their core responsibilities and tools differ significantly.

How do Remote Python Developers typically collaborate and communicate with their teams?

Remote Python Developers often work closely with distributed teams using collaboration tools like Slack, Zoom, and GitHub. Clear communication and regular check-ins are essential for syncing on project requirements, code reviews, and troubleshooting. Developers are encouraged to document their code thoroughly and proactively update their progress to ensure smooth workflow across different time zones. This environment fosters independence and strong written communication skills, while also providing opportunities to participate in virtual standups, sprint planning, and peer programming sessions.
More about Remote Python jobs
What are popular job titles related to Remote Python jobs in Santa Rosa, CA? For Remote Python jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Remote Python jobs in Santa Rosa, CA look for? The top searched job categories for Remote Python jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Remote Python jobs? Cities near Santa Rosa, CA with the most Remote Python job openings:
Remote Python jobs near you
Infographic showing various Remote Python job openings in Santa Rosa, CA as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $133,313 per year, or $64.1 per hour.
Staff Software Engineer, Full Stack

Staff Software Engineer, Full Stack

Doxel

Bodega Bay, CA • Remote

Full-time

Posted 5 days ago

Job description

Construction is the second-largest industry in the world—nearly 4x the size of SaaS—yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste.

Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton.

Doxel’s automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow.

Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win. 

Join us as we continue our journey to transform the $15T Construction Industry!


The Role
As a Lead Software Engineer, you will help define and build the next generation of Doxel’s project management, commissioning, and field-enablement tools—systems trusted by the world’s largest general contractors and owners delivering mega-projects at unprecedented scale.
 
You’ll design and deliver full-stack applications that handle massive volumes of complex field data—including videos, images, structured forms, and IoT device outputs—and transform them into fast, intuitive workflows for both office teams and field workers. You’ll architect mobile and web experiences that make capturing, reviewing, and acting on this data effortless in environments where reliability, speed, and clarity matter.
 
As a technical leader, you’ll partner closely with product, design, backend, CV/ML, and platform engineering teams to turn Doxel’s AI and data systems into beautifully executed user experiences. You’ll provide technical leadership end to end shipping 0-1 projects, as well mentoring and coaching across engineering on best practices. 
Your Day to Day
  • You will lead the design and development of full-stack applications powering project management, commissioning workflows, and field data capture
  • Build web and mobile tools that make it simple for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
  • Develop intuitive, high-performance UIs that handle complex data streams and large-scale datasets
  • Architect backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale
What Success Looks Like
  • Collaborating cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
  • Driving full stack and mobile engineering best practices including testing, reliability, and performance optimization
  • Mentoring engineers establishing standards, reviewing architecture, and ensuring high-velocity execution
  • Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
  • Being the champion for usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments
What You Bring
  • 10+ years of experience building and shipping full-stack web and mobile applications
  • Strong expertise with modern full-stack frameworks (e.g., Nuxt.js, Next.js, , or similar)
  • Strong backend engineering experience with Typescript, Python, or Java, including API development
  • Experience architecting applications that handle large-scale multimodal datasets (3d components, videos, images) and/or IoT data inputs
  • Deep experience building UX for field-facing or operationally critical workflows
  • Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
  • Skills in designing domain-driven data models and working with OLTP/OLAP systems
  • Prior experience leading or mentoring small engineering teams
Preferred Experience
  • Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
  • Background with offline-capable architectures and mobile-first data collection tools
  • Experience with 3D visualization (three.js), geospatial data, or computer-vision-powered experiences
  • Exposure to ML/AI-driven feature development
  • Comfort with CI/CD pipelines, observability tooling, and automated testing best practices
Benefits & Company Culture
  • Competitive Base Salary + Equity Package
  • Remote first culture (for most roles)
  • Comprehensive Health Insurance (Medical, Dental, Vision)
  • Home Office Stipend
  • Monthly allowance for cell phone and internet
  • Flexible PTO, generous company holiday policy, and unlimited sick days
Pay is based on a variety of factors such as location, skill level, qualifications, competencies, and overall experience.
Doxel is an equal opportunity employer and actively seeks diversity at our company. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.