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Remote Python Analyst Jobs in San Diego, CA (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246048 Location: San Diego,CA,US Share job via: Share Data Engineer ... You'll sharpen your skills in analytical exploration and data examination while you support the ...

Vannevar

Senior Software Engineer - ATO

San Diego, CA · On-site +1

$150K - $215K/yr

Implement strong change control: security impact analysis, testing/validation plans, and ... Full-stack experience - willing to get hand-on across our full stack (React/Node/Python stack)

Axos Bank

AI & Automation Solution Architect

San Diego, CA · On-site +1

$100K - $138K/yr

Ability to build ROI models, cost-benefit analyses, and strategic roadmaps. * AI/Automation Tech ... Proficiency in Python or TypeScript to build "trace bullet" implementations. * Architecture ...

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 ... Monitor and analyze the software performance, quality, security, and scalability, and identify and ...

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Showing results 41-56

All JobsPython Analyst JobsRemote Python Analyst JobsRemote Python Analyst Jobs in San Diego, CA

Remote Python Analyst information

See San Diego, CA salary details

$36.1K

$87.7K

$144.4K

How much do remote python analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote python analyst in San Diego, CA is $87,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a remote Python analyst?

A Remote Python Analyst is a professional who works primarily with the Python programming language to analyze data, automate processes, and develop software solutions, all while working from a remote location. Their responsibilities often include data analysis, scripting, building data pipelines, and creating reports or dashboards. They collaborate with teams virtually and can work for companies in various industries such as finance, healthcare, technology, or consulting. The remote aspect allows for flexibility in work location and often requires strong communication and self-management skills.

How does a remote Python analyst typically collaborate with team members across different time zones?

As a Remote Python Analyst, effective collaboration often involves using communication tools such as Slack, Zoom, and project management platforms to stay connected with team members in various locations. You'll likely participate in regular virtual meetings, share code through platforms like GitHub, and provide asynchronous updates to accommodate different time zones. Flexibility and proactive communication are essential for ensuring projects stay on track and that everyone is aligned, despite not working in the same physical space.

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

AspectRemote Python AnalystData Analyst
Required SkillsPython programming, data analysis, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data analysis coursesExcel, SQL certifications, Tableau
Work EnvironmentRemote, tech-focused companiesRemote or on-site, various industries
Industry UsageTech, finance, healthcareBusiness, marketing, finance

Remote Python Analysts focus on coding and scripting with Python to analyze data, often in tech-driven industries. Data Analysts use a broader set of tools like Excel and SQL for data interpretation across diverse sectors. While both roles involve data analysis, the Python Analyst emphasizes programming skills, making it ideal for those with coding expertise seeking remote opportunities in specialized fields.

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

To thrive as a Remote Python Analyst, you need strong programming skills in Python, experience with data analysis, and typically a degree in computer science, statistics, or a related field. Familiarity with technical tools such as Jupyter Notebooks, pandas, NumPy, SQL databases, and data visualization libraries, as well as version control systems like Git, is essential. Excellent problem-solving abilities, self-motivation, and clear communication skills help you excel in a remote environment and effectively collaborate with teams. These skills and qualities enable accurate data-driven insights and ensure productivity while working independently from any location.
What are the most commonly searched types of Python Analyst jobs in San Diego, CA? The most popular types of Python Analyst jobs in San Diego, CA are:
What are popular job titles related to Remote Python Analyst jobs in San Diego, CA? For Remote Python Analyst jobs in San Diego, CA, the most frequently searched job titles are:
What job categories do people searching Remote Python Analyst jobs in San Diego, CA look for? The top searched job categories for Remote Python Analyst jobs in San Diego, CA are:
What cities near San Diego, CA are hiring for Remote Python Analyst jobs? Cities near San Diego, CA with the most Remote Python Analyst job openings:
Remote Python Analyst jobs near you
Infographic showing various Remote Python Analyst job openings in San Diego, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $87,740 per year, or $42.2 per hour.

Staff Engineer, Core Platform Integration (R5411)

Shield AI

San Diego, CA • On-site, Remote

$190K - $290K/yr

Full-time

Posted 16 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Build the foundation for the next generation of autonomous systems. In this role, you'll develop and integrate the core software and platform infrastructure that powers mission-critical technology, working across teams to deliver reliable, scalable solutions from development through deployment.
What you'll do:
  • Own platform integration across SIL, HIL, VIL, and edge deployment workflows, ensuring components work together reliably and are easy for developers to use.  
  • Build and maintain reference work spaces, platform reference implementations, and tooling that accelerate development, testing, deployment, and validation.  
  • Integrate platform-level software across hardware, sensors, controllers, APIs, configuration, orchestration, and fleet/device management systems.  
  • Support embedded platform bring-up and hardware diversification across developer boards, iron birds, aircraft/vehicle test platforms, and other reference hardware.  
  • Improve platform stability, API quality, developer experience, and system scalability for mission-critical product and customer commitments.  
  • Partner with autonomy, hardware, product, and program teams to identify integration gaps and deliver durable solutions. 
Required qualifications:
  • 5+ years experience with strong software engineering experience in robotics, autonomy, embedded systems, distributed systems, or similarly complex platforms.
  • Strong experience with C++ and Python and experience building developer tools, configuration systems, orchestration frameworks, or automation.
  • Experience integrating and debugging software across Linux-based systems, hardware interfaces, deployment environments, and APIs, including use of measurement or diagnostic tools such as oscilloscopes, logic analyzers, or protocol analyzers to debug embedded communication interfaces.
  • B.S. or Master's degree in Engineering, Computer Science, or related field
  • Ability to work independently in ambiguous technical areas and drive cross-functional integration efforts to completion.  
  • Strong communication and collaboration skills
Preferred qualifications:
  • Experience with SIL, HIL, and VIL workflows for autonomy, robotics, aerospace, automotive, or defense systems.  
  • Experience with embedded Linux, BSP development, build systems, device trees, bootloaders, or hardware bring-up.  
  • Experience with edge deployment, device discovery, fleet management, OTA workflows, or application deployment to remote devices.  
  • Experience with platforms such as Jetson, Qualcomm, i.MX8, or similar embedded compute hardware.  
  • Experience integrating sensor drivers, controller interfaces, vehicle interfaces, hardware abstraction layers, or reference test platforms.
$190,000 - $290,000 a year
#LI-DM2
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
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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