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

ThinkingAI

Field Deployment Engineer (FDE)

Sunnyvale, CA · On-site

$140K - $180K/yr

... gaming, to back client decisions with data and models. * Analysis Independently run complex ... Engineering Proficient in SQL for data extraction plus solid Python (or equivalent) for scripting ...

Sunday Inc

SLAM Engineer

Redwood City, CA · On-site

... 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 ...

Sumeru Solutions

Android Engineer

Santa Clara, CA · On-site

... 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 ...

VOLT

Test Technician

Fremont, CA · On-site

$25/hr

Working knowledge of PXE, networking protocols, Linux, C and Python. * Analyzes failures and work ... Please hit APPLY to provide the required information, and we will be back in touch as soon as ...

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Python Back information

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$15

$68

$101

How much do python back jobs pay per hour?

As of Aug 19, 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.

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.

Are Python Back still in demand in 2026?

Python backend development remains in high demand in 2026 due to its widespread use in web development, data science, and automation. Skills in frameworks like Django and Flask, along with knowledge of APIs and databases, are valuable for backend roles. The demand is driven by the ongoing need for scalable, efficient server-side solutions across industries.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries like Django and Flask. Many companies seek Python developers for web applications, data analysis, and automation, making it a valuable skill for backend roles.

What are 10 careers related to Python?

Careers related to Python include Python developer, data scientist, machine learning engineer, software engineer, automation engineer, data analyst, backend developer, DevOps engineer, cybersecurity analyst, and research scientist. These roles often require knowledge of programming, data analysis, and software development tools, with many positions demanding proficiency in Python libraries and frameworks.

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:

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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:

Python Back jobs near you

Field Deployment Engineer (FDE)

ThinkingAI

Sunnyvale, CA • On-site

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Position Summary

An FDE role delivering AI-powered product solutions to clients and driving adoption owning end-to-end delivery from POC and pilot to AI/data solution design, integration, go-live, and enablement, while bridging clients with R&D and product teams to turn field learnings into iteration. Combining technical, data, and customer-facing capabilities, the FDE brings the AI product to life at the client site and converts product capabilities into measurable success.

Responsibilities
  1. Onboarding Provide implementation guidance, training, and Q&A support via IM, email, and video to ensure successful customer onboarding and adoption.
  2. POC Lead client POC and pilot engagements objective definition, execution, evaluation, sign-off owning deployment outcomes and proving measurable value before full rollout.
  3. Delivery Own end-to-end AI product delivery scoping, data prep, model/feature integration, configuration, UAT, go-live wiring AI into clients' workflows.
  4. Solutioning Understand clients' business scenarios and data/AI requirements; deliver tailored data-collection, metric-design, and model-application solutions.
  5. Advocacy Promote a data- and AI-driven mindset; share best practices in analytics and applied AI, especially for gaming, to back client decisions with data and models.
  6. Analysis Independently run complex analytical and AI delivery projects; deliver deep-dive diagnostics and insights; feed client findings back into product iteration.
  7. Collaboration Work cross-functionally with R&D and product; translate client needs into requirements; support API/SDK integration and troubleshoot technical issues.


Requirements

  1. Experience 3+ years in data analysis, AI product delivery, or a technical customer-facing role; gaming/internet/SaaS preferred.
  2. Customer-Facing Comfortable engaging technical and business stakeholders directly onboarding, training, and managing expectations through to adoption.
  3. Engineering Proficient in SQL for data extraction plus solid Python (or equivalent) for scripting, data processing, and API/SDK integration.
  4. Proven AI/LLM experience: handson building with LLMs, vector databases, and agent frameworks; track record from prototype to production.
  5. Troubleshooting Strong technical problem-solving; independently diagnose and resolve integration, data-pipeline, and configuration issues in a fast-paced setting.
  6. Education Bachelor's or higher in Mathematics, Statistics, Computer Science, Engineering, or a related field.
  7. CS-Background Experience in Customer Success, Solution Engineer, or technical-support roles especially deploying data/AI products is a strong plus.
  8. English fluent; Mandarin fluent
What we offer
  • Base salary: $140,000 $180,000
  • Benefits: Medical / dental / vision , 401(k), PTO
  • High autonomy, minimal bureaucracy, and direct influence on roadmap and US growth.