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Remote Python Jobs in Oakland, CA (NOW HIRING)

Nastech Global

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

Remote Duration: Fulltime Must-have * NVIDIA (DGX) or equivalent high-performance-compute (HPC ... Python * GoLang, C/C++ * Enterprise Grade Kubernetes cluster (RedHat OpenShift - preferred) and/or ...

Careerswift

DevOps Engineer

San Francisco, CA · Remote

$62.25 - $85/hr

Requires 4+ years of DevOps experience, strong knowledge of Docker/Kubernetes, Terraform, and scripting (Python/Bash). Job Overview Location: Remote Seniority Level: Senior

Careerswift

DevOps Engineer

San Francisco, CA · Remote

$54 - $74/hr

Requires 4+ years of DevOps experience, strong knowledge of Docker/Kubernetes, Terraform, and scripting (Python/Bash). Job Overview Location: Remote Seniority Level: Senior

Career Renew

Senior ML Engineer

San Francisco, CA · Remote

$180K - $240K/yr

You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ... Remote-first with strong perks -- flexible vacation, paid sabbatical after 5 years, comprehensive ...

Mercor

Senior Full Stack Developer

San Francisco, CA · Remote

$80 - $130/hr

Remote Role Responsibilities * Design, develop, and maintain full-stack applications using Python . * Build and integrate APIs and MCP-based systems . * Collaborate closely with engineering and ...

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Remote Python information

See Oakland, CA salary details

$15

$67

$99

How much do remote python jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote python in Oakland, CA is $67.33, according to ZipRecruiter salary data. Most workers in this role earn between $55.48 and $76.49 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 the most commonly searched types of Python jobs in Oakland, CA? The most popular types of Python jobs in Oakland, CA are:
What are popular job titles related to Remote Python jobs in Oakland, CA? For Remote Python jobs in Oakland, CA, the most frequently searched job titles are:
What job categories do people searching Remote Python jobs in Oakland, CA look for? The top searched job categories for Remote Python jobs in Oakland, CA are:
What cities near Oakland, CA are hiring for Remote Python jobs? Cities near Oakland, CA with the most Remote Python job openings:
Remote Python jobs near you

Lead Data Scientist - Remote

Discovered MENA

San Francisco, CA • On-site, Remote

Full-time

Re-posted 6 days ago

Job description

Artificial Intelligence & Data Talent Partner at Discovered MENA ?

Remote Role

What you’ll be working on:

  • Designing and building hybrid ML models that combine supervised learning, time-series forecasting, and NLP to extract insights from unstructured data like PDFs, fund memos, and regulatory filings
  • Adding explainability to models using techniques like SHAP, LIME, and feature attribution so outputs are transparent and human-readable
  • Building scalable data pipelines across off-chain fundamentals, on-chain activity, and macro benchmarks
  • Integrating data from sources like FRED, PitchBook LCD, Securitize, Centrifuge, Maple, and TrueFi, with strong data lineage and freshness guarantees
  • Developing anomaly detection and reconciliation tools across issuer, administrator, and blockchain datasets
  • Creating evaluation frameworks to measure accuracy, confidence intervals, latency, and data quality
  • Backtesting model outputs against historical NAVs, secondary-market trades, and redemptions
  • Researching and incorporating credit-risk signals (CDS spreads, recovery rates, default data, etc.)
  • Building continuous learning loops using live market data and partner feedback
  • Working closely with Product and Engineering to ship models via APIs, SDKs, and dashboards used by traders, curators, and risk teams
  • Collaborating with data providers, protocol teams, and fund administrators to improve coverage and signal quality
  • Partnering with the CTO on long-term model governance, transparency, and AI ethics

What I’m looking for:

  • 5+ years of experience in applied ML, quantitative finance, or credit-risk modeling
  • Strong Python and SQL skills, plus experience with ML frameworks like PyTorch, TensorFlow, scikit-learn, or XGBoost
  • Solid understanding of time-series forecasting, regression/classification, and probabilistic modeling
  • Hands-on experience with financial data (fixed income, private credit, or structured products)
  • Familiarity with blockchain and DeFi data, including smart contracts, token metadata, and on-chain events
  • Experience deploying ML models into production (APIs, orchestration, or streaming systems)

Bonus to have:

  • Background in credit analytics, NAV valuation, or structured credit
  • Experience in quant research, fintech data science, or tokenized asset analytics
  • Experience with NLP, vector databases, and LLMs / GenAI tools (OpenAI APIs, GPT-4, LangChain, HuggingFace, etc.)
Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Science and Information Technology

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