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Python Back Jobs in Santa Clara, CA (NOW HIRING)

... deltas back into the model to keep it trustworthy * Use and develop AI-assisted tool flows to ... Exceptional modern C++ for performance-critical systems software, plus strong Python for tooling ...

... back to shape the roadmap of our internal AI-driven insight platform. This role is the connective ... Familiarity with data science tooling such as Dataiku, Snowflake, Airflow, or Python-based ...

Simulation Engineer

Mountain View, CA · On-site

$200K - $360K/yr

... deltas back into the model to keep it trustworthy * Use and develop AI-assisted tool flows to ... Exceptional modern C++ for performance-critical systems software, plus strong Python for tooling ...

Simulation Engineer

Mountain View, CA · On-site

$200K - $360K/yr

... deltas back into the model to keep it trustworthy * Use and develop AI-assisted tool flows to ... Exceptional modern C++ for performance-critical systems software, plus strong Python for tooling ...

... to take back quality time. We have spent the last 18 months building a talented team, securing ... Experience writing production-quality software in Python or C++ Nice to Have * Experience building ...

... me back with your updated word doc resume and Table with your details to vinay.shrivas ... Linux, gmake, CMake, gdb, git, scripting languages (bash, Python, Lua, and/or NodeJS) Android ...

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Python Back information

See Santa Clara, CA salary details

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$68

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How much do python back jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python back in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding often requires creativity, problem-solving, and understanding complex requirements that AI tools currently cannot replicate entirely. AI can assist programmers by automating repetitive tasks and providing code suggestions, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new tools and improving problem-solving skills can help Python coders remain valuable in the evolving tech landscape.

What is the backend for Python?

In Python development, the backend refers to the server-side code that handles data processing, storage, and application logic. Python is commonly used for backend development with frameworks like Django and Flask, which facilitate building scalable and secure web applications. Knowledge of databases, APIs, and server management is also important for Python 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.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries for web frameworks like Django and Flask. Employers seek Python developers for building scalable, efficient server-side applications, often requiring knowledge of databases, APIs, and cloud deployment. The role typically offers competitive salaries and opportunities across various industries such as tech, finance, and healthcare.

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 are popular job titles related to Python Back jobs in Santa Clara, CA? For Python Back jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Python Back jobs in Santa Clara, CA look for? The top searched job categories for Python Back jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Python Back jobs? Cities near Santa Clara, CA with the most Python Back job openings:
RF System Integration Engineer (Instrument Engineering)

RF System Integration Engineer (Instrument Engineering)

Apple

Cupertino, CA • On-site

Full-time

Posted 18 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Join our Wireless team and build the technology that makes every Apple radio possible. We're looking for engineers with strong fundamentals in RF, communication, software and signal processing to join the growing Instrument Engineering team at Apple.
This small team of extraordinary engineers designs and produces precision RF and analog test equipment used to calibrate and validate cellular (5G/4G and legacy), Wi-Fi, Bluetooth, mmWave, UWB, and NFC radios across millions of iPhone, iPad, Mac, and Apple Watch units.
You'll collaborate closely with RF, software, and signal processing engineers, and work directly with the internal customers who rely on this equipment, to take internal products from concept to mass production, each one built to Apple's exacting standards. If you love chasing an elusive RF problem down to root cause and then writing the automation that makes sure it never comes back, this is your team.
Description
This is a hands-on RF role that blends bench debugging, RF applications support, customer engagement, and test automation. You'll characterize and troubleshoot RF measurement systems on the bench, develop and maintain automated test and calibration software, and partner across hardware, software, and customer teams to keep our test equipment accurate and reliable at production scale. You'll work across the RF bench, test-automation software, and direct collaboration with internal customers.
Minimum Qualifications
BS in Electrical Engineering, Physics, or a related field; MS preferred.
3-4 years of hands-on experience in RF, wireless, or test/measurement engineering.
Strong RF fundamentals and demonstrated ability to debug RF problems on the bench using standard RF test equipment (signal generators, analyzers, VNAs, power sensors).
Proven experience developing automated test software in Python and/or C++ from the ground up.
Strong communication and interpersonal skills, with the ability to work directly with customers and present technical findings to engineering and cross-functional audiences.
Willingness to travel internationally up to 15%.
Preferred Qualifications
Experience with RF system calibration methods, procedures, and traceability.
Recent experience analyzing RF parameters in Python or MATLAB (power, return loss, S-parameters, EVM, ACLR, IQ mismatch, statistics).
Working knowledge of DSP and communications theory.
Familiarity with cellular (5G/4G), Wi-Fi, Bluetooth, mmWave, UWB, or NFC radio test and measurement.
Familiarity with RF test equipment vendors (Keysight, Rohde & Schwarz, NI, LitePoint, Anritsu).
CI/CD experience and a track record of integrating automated tests into a pipeline.
Hands-on experience using AI assistants and agentic coding workflows to design, write, and debug production-level engineering software.
Experience applying AI/ML techniques to RF data analysis, modeling, or anomaly detection.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976