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Remote Python Engineer Jobs in California (NOW HIRING)

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Remote Python Engineer information

See California salary details

$22.7K

$138.1K

$199.8K

How much do remote python engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote python engineer in California is $138,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,100.00 and $162,300.00 per year, depending on experience, location, and employer.

What does a Remote Python Engineer do?

A Remote Python Engineer designs, develops, and maintains software applications using the Python programming language, all while working from a remote location. Their responsibilities typically include writing efficient code, troubleshooting issues, collaborating with team members through online tools, and integrating third-party APIs or libraries. They may work on web development, automation scripts, data analysis, or backend services depending on the company's needs. Remote Python Engineers must have strong communication skills and be comfortable using project management and version control tools like Git. This role is ideal for those who want the flexibility of working from home while contributing to software projects.

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

To thrive as a Remote Python Engineer, you need a strong command of Python programming, experience with software development best practices, and familiarity with frameworks like Django or Flask, often supported by a relevant degree or equivalent experience. Proficiency in version control systems such as Git, cloud platforms like AWS or Azure, and continuous integration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial for effective collaboration in a remote environment. These skills ensure high-quality code delivery, efficient teamwork across distributed teams, and successful project outcomes.

What are some common challenges faced by Remote Python Engineers, and how can they be overcome?

Remote Python Engineers often encounter challenges such as effective communication across time zones, maintaining productivity outside a traditional office, and ensuring code quality in distributed teams. To overcome these, it's helpful to use collaborative tools like Slack and GitHub, participate in regular virtual meetings, and follow clear coding standards. Actively documenting your work and reaching out proactively to teammates can also foster a sense of connection and streamline project workflows.

What is the difference between Remote Python Engineer vs Remote Data Scientist?

AspectRemote Python EngineerRemote Data Scientist
Required SkillsPython, APIs, software developmentPython, statistics, machine learning
Work EnvironmentSoftware development teams, coding, debuggingData analysis, modeling, research
Industry UsageTech, startups, software companiesFinance, healthcare, tech

While both roles require Python skills, Remote Python Engineers focus on building and maintaining software applications, whereas Remote Data Scientists analyze data and develop models. The roles often overlap in Python proficiency but differ in their core responsibilities and industry applications.

What are the most commonly searched types of Python Engineer jobs in California? The most popular types of Python Engineer jobs in California are:
What are popular job titles related to Remote Python Engineer jobs in California? For Remote Python Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Python Engineer jobs in California look for? The top searched job categories for Remote Python Engineer jobs in California are:
What cities in California are hiring for Remote Python Engineer jobs? Cities in California with the most Remote Python Engineer job openings:
Remote Python Engineer jobs near you
Infographic showing various Remote Python Engineer job openings in California as of June 2026, with employment types broken down into 1% Locum Tenens, 83% Full Time, 3% Part Time, and 13% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $138,138 per year, or $66.4 per hour.

Forward Deployed Engineer (Ayama)

career

San Francisco, CA • On-site, Remote

Full-time

Posted 7 days ago

Job description

Ayama has partnered with Andrew Ng's AI Fund and a Fortune 500 energy leader to use AI to reshape how $10+ Trillion of heavy assets operate, are managed, and are maintained. With electrification driving rapid growth in energy and reshoring accelerating the build out of U.S. electronics and IT manufacturing, the company plans to close critical gaps by raising asset uptime & output as well as staff productivity. Ayama is looking for a Forward Deployed Engineer to be the technical face of Ayama at our customers.
The Forward Deployed Engineer is customer-facing every day. You work with customer end users and customer IT teams primarily remotely, with periodic on-site visits to customer operational sites for deeper engagement, training, and incident response. This is a 100% hands-on role split between customer engagement and code. You write Python and SQL daily, debug across systems you didn't build, configure Ayama for each customer's operational reality, and translate field observations back into product decisions.
This is a full-time hybrid role located in the Bay Area. Additional locations will be considered in the Western US as long as you live within 30 miles of a major airport with daily flights to San Francisco. Some travel to customer sites will be required. There is no relocation package budgeted for this role.
Responsibilities for the Role Include:
  • Own customer deployments end-to-end at the technical working level: daily operations, training, configuration, incident triage
  • Configure Ayama for new customers: enterprise system integrations, operational data mappings, asset hierarchy, customer-specific workflows
  • Debug customer-affecting issues end-to-end: read logs, trace through pipelines, patch in production, file precise root-cause reports for engineering
  • Scope and execute pilot deployments as Ayama brings on new customers
  • Translate field reality into structured product feedback that engineering can act on directly
  • Build customer-specific scripts, integration adapters, and small tools that don't belong in core product code

Requirements For the Role Include:
  • 5+ years of hands-on software engineering experience
  • Daily Python fluency (Django/FastAPI preferred, transferable from Flask or other modern Python frameworks)
  • Strong SQL: joins, aggregations, window functions, and reading query plans
  • Track record of customer-facing engineering: deployments, integrations, or incident response with customers in the room
  • Comfort debugging production issues in code you didn't write
  • Direct, structured communication: you can write a clear bug report and explain a technical issue to a non-engineer
  • Cloud experience (GCP preferred) and at least one shipped integration with an enterprise system (ERP, CRM, CMMS, or similar)

Nice To Haves Include:
  • Prior Forward Deployed Engineer, Implementation Engineer, or Solutions Engineer experience at enterprise or B2B SaaS companies
  • ERP / CMMS integration experience
  • Industrial or operations domain background: heavy assets, telemetry, asset management
  • Background in a physical-engineering discipline (mechanical, electrical, industrial)

Why Join Ayama:
  • Exclusive Ecosystem: Unparalleled access to AI Fund's experts and Dr. Andrew Ng's network of AI luminaries.
  • Real-World Impact: We are solving critical performance gaps in energy supply while demand driven by global electrification skyrockets.
  • Growth Path: First role on what will become Ayama's customer engineering function. Lead and hire that team as the company scales.

The compensation package will include a base salary plus equity along with a full-benefits package.
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.

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