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Remote Python Jobs in Carlsbad, CA (NOW HIRING)

Vannevar

Senior Software Engineer - ATO

San Diego, CA · On-site +1

$150K - $215K/yr

Full-stack experience - willing to get hand-on across our full stack (React/Node/Python stack ... Remote friendly with WeWork access * Unlimited PTO, shared downtime during the federal holiday ...

Peraton

Junior DevSecOps Engineer

San Diego, CA · On-site +1

$86K - $138K/yr

This hybrid support role (75% remote, 25% onsite at a government facility) in the San Diego area is ... Automation and scripting (e.g., Bash, Python, PowerShell) Preferred Qualifications: * Degree in ...

Gnostech LLC

Software Engineer II

San Diego, CA · On-site +1

$90K - $105K/yr

Hybrid or remote work is not authorized. Job Title: Software Engineer II Salary: $90,000-$105,000 ... Python) * Experience with DISA STIGs, patch management, and vulnerability scanning tools (e.g ...

Peraton

Junior DevSecOps Engineer

San Diego, CA · On-site +1

$86K - $138K/yr

This hybrid support role (75% remote, 25% onsite at a government facility) in the San Diego area is ... Automation and scripting (e.g., Bash, Python, PowerShell) Preferred Qualifications: * Degree in ...

Peraton

Junior DevSecOps Engineer

San Diego, CA · On-site +1

$86K - $138K/yr

This hybrid support role (75% remote, 25% onsite at a government facility) in the San Diego area is ... Automation and scripting (e.g., Bash, Python, PowerShell) Preferred Qualifications: * Degree in ...

Apex Informatics

SR. Data Engineer

San Diego, CA · On-site +1

$121K - $146K/yr

Senior Data Engineer Cupertino, CA or Austin, TX Onsite role Must have strong Python and SQL and take a code pad test we will give them before submittal. Also, must have Airflow Scala, Kafka and or ...

Axos Bank

Lead Enterprise Architect

San Diego, CA · On-site +1

$185K - $225K/yr

Remote or Hybrid in not available. Axos Bank is seeking an experienced Lead Enterprise Architect to ... as Java, Python, C#, .NET, Node.js, React, Angular, Vue, Flutter, AWS, Azure, GCP, Docker ...

Dlapiper

Data Scientist

San Diego, CA · On-site +1

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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All JobsPython JobsRemote Python JobsRemote Python Jobs in Carlsbad, CA

Remote Python information

See Carlsbad, CA salary details

$13

$60

$89

How much do remote python jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote python in Carlsbad, CA is $60.81, according to ZipRecruiter salary data. Most workers in this role earn between $50.14 and $69.09 per hour, depending on experience, location, and employer.

What is a remote python job?

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 are the key skills and qualifications needed to thrive as a remote python developer?

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.

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.

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.

Which remote Python job is in demand?

Remote 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 experience in cloud platforms and version control, enhance job prospects. These positions often require strong problem-solving abilities and remote collaboration skills.
More about Remote Python jobs

What are the most commonly searched types of Python jobs in Carlsbad, CA?

The most popular types of Python jobs in Carlsbad, CA are:

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For Remote Python jobs in Carlsbad, CA, the most frequently searched job titles are:

What job categories do people searching Remote Python jobs in Carlsbad, CA look for?

The top searched job categories for Remote Python jobs in Carlsbad, CA are:

What cities near Carlsbad, CA are hiring for Remote Python jobs?

Cities near Carlsbad, CA with the most Remote Python job openings:

Remote Python jobs near you
Infographic showing various Remote Python job openings in Carlsbad, CA as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,488 per year, or $60.8 per hour.

Computational Biology MLOps Engineer (Remote)

Marlabs

San Diego, CA • Remote

$114K - $134K/yr

Full-time

Posted 26 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Computational Biology MLOps Engineer to join our innovative and dynamic team.  

This role requires onsite work three (3) days per week in Indianapolis, IN or San Diego, CA. 

Computational Biology MLOps Engineer | About You 

As a Computational Biology MLOps Engineer, you are responsible for building and scaling the ML infrastructure that supports next generation in silico protein design and engineering. You bridge cutting edge AI research and production systems at the intersection of machine learning, computational biology, and high performance computing. You thrive in cross functional environments and partner closely with computational scientists and platform engineers to accelerate research velocity. You bring strong software, DevOps, and data engineering fundamentals with hands on experience across CI/CD, orchestration, and distributed training. Experience working with scientific or multimodal data and interest in protein language and generative models is a plus. 

Computational Biology MLOps Engineer | Day-to-Day 

  • Build and maintain ML infrastructure, including CI/CD pipelines (GitHub Actions) for model training, evaluation, and deployment. 
  • Orchestrate compute across Kubernetes clusters and SLURM and HPC environments to optimize utilization for large scale training. 
  • Develop robust and scalable data pipelines that deliver ML ready datasets from biological sources such as PDB and mmCIF files, sequence databases, and assay readouts. 
  • Create tools and frameworks that enable rapid iteration on protein language models, diffusion models, and other generative approaches. 
  • Architect systems that scale across distributed environments and support multimodal datasets for large foundational models. 
  • Implement monitoring, logging, and alerting to ensure reliability, performance, and cost efficiency of production ML systems. 

Computational Biology MLOps Engineer | Skills & Experience 

  • 5+ years of overall industry experience in software engineering, DevOps, data engineering, or ML engineering roles, including 3+ years of focused MLOps experience building and maintaining production grade ML infrastructure. 
  • Proven CI/CD expertise with GitHub Actions and strong DevOps practices including infrastructure as code, version control, and collaborative workflows. 
  • Hands on Kubernetes experience in deploying and managing containerized ML workloads with familiarity using container registries. 
  • Proficiency with SLURM or similar job schedulers in HPC environments and experience with distributed training optimization including mixed precision and checkpointing. 
  • Strong Python skills and experience with major ML frameworks including PyTorch, TensorFlow, or JAX. 
  • Experience building ETL processes and scalable data and feature pipelines and experience with cloud platforms such as AWS, GCP, or Azure. 
  • Preferred experience with scientific data, protein structure formats such as PDB and mmCIF, protein AI models including ESM, and agentic systems such as MCP, LangGraph, and LangChain.