1

Python Back Jobs in California (NOW HIRING)

Feed results back into models. Experience: Candidates should be able to show examples of the ... python or MATLAB) Education: Master's degree in Electrical Engineering, Physics, Mechanical ...

... back to our database via Python/Typescript actions. You will gain a deep understanding of the different planning interfaces and craft tools that drive insights and workflows that enable real cost and ...

Adam Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its ... Implement APIs in Python and Rust * Develop and maintain Databases and data applications (SQL and ...

Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics ... Up to $5,250 paid back to you on eligible education expenses * Pet care discounts for your furry ...

Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics ... Up to $5,250 paid back to you on eligible education expenses * Pet care discounts for your furry ...

Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics ... Up to $5,250 paid back to you on eligible education expenses * Pet care discounts for your furry ...

... back to our database via Python/Typescript actions. You will gain a deep understanding of the different planning interfaces and craft tools that drive insights and workflows that enable real cost and ...

next page

Showing results 1-20

Python Back information

Can I do backend in Python?

Yes, Python is widely used for backend development due to its simplicity and extensive libraries. Backend roles often require knowledge of frameworks like Django or Flask, database management, and API development.

Are Python still in demand in 2026?

Python developers remain in high demand in 2026 due to Python's widespread use in data analysis, machine learning, web development, and automation. Skills in frameworks like Django or Flask and proficiency with libraries such as Pandas or TensorFlow enhance job prospects for Python back-end developers.

Is Python in demand for backend?

Python is highly in demand for backend development due to its simplicity, versatility, and extensive libraries like Django and Flask. Many companies seek Python developers for building scalable, efficient server-side applications, making it a valuable skill for backend roles.

What is a Python Backend Developer?

A Python Backend Developer is a software engineer who specializes in building and maintaining the server-side logic of web applications using the Python programming language. They are responsible for creating APIs, managing databases, integrating with external services, and ensuring the overall performance and security of the backend systems. Python Backend Developers often work with frameworks like Django or Flask and collaborate with frontend developers to deliver seamless user experiences.

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

To thrive as a Python Backend Developer, you need strong programming skills in Python, a solid understanding of backend frameworks, and experience with APIs and databases, often supported by a relevant degree or certifications. Familiarity with tools like Django or Flask, RESTful API design, version control systems such as Git, and cloud platforms like AWS or Azure is typically required. Problem-solving, teamwork, and effective communication are crucial soft skills that set top performers apart. These competencies enable developers to build scalable, secure, and maintainable backend systems that meet business needs efficiently.

What jobs can I do with just Python?

With Python skills, you can work as a Python developer, data analyst, automation engineer, or backend programmer. These roles often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks such as scripting, data processing, or web development. Additional skills in databases, version control, and problem-solving enhance job prospects.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some common challenges Python Backend Developers face when optimizing application performance?

Python Backend Developers often encounter challenges related to optimizing application speed and scalability, especially when handling large volumes of data or high user traffic. Issues such as inefficient database queries, memory leaks, and suboptimal code structures can impact performance. Developers typically address these by profiling code, implementing caching strategies, and leveraging asynchronous programming where appropriate. Collaborating with DevOps teams to monitor performance metrics and employing tools like Redis, Celery, or load balancers also play a significant role in overcoming these challenges.
What cities in California are hiring for Python Back jobs? Cities in California with the most Python Back job openings:
Infographic showing various Python Back job openings in California as of June 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 45% Full Time, 49% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.
Power Systems Engineer

Power Systems Engineer

Collabera

Menlo Park, CA

Full-time

Posted 22 days ago


Job description

Job Description

Title: Power Systems Engineer

Location: Menlo Park, CA

Duration: 12 months

Duties:

Model system components including motors, solar cells, and batteries, predicting performance as a function of environmental conditions, power, aging, manufacturing variability

Perform and support trade studies on aircraft power system designs, to assist decision-making and design.

Convert subsystem requirements into specific analysis projects and tests

Analyze test data and communicate results. Feed results back into models.

Experience:

Candidates should be able to show examples of the following in their resume:

5+ years in industry working on multi-disciplinary modeling or analysis projects.

Aerospace experience preferred

Experience cascading system requirements to subsystem and component level, and verifying their successful completion Hands-on experience with new product development

Must have demonstrated analysis skills for physics problems as applied to power systems (e.g. electrical, solar, battery)

Must have demonstrated excellent presentation and communication skills

Experience with modeling tools (e.g. python or MATLAB)

Education:

Master's degree in Electrical Engineering, Physics, Mechanical Engineering, Computer Science

Additional Information

All your information will be kept confidential according to EEO guidelines.