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Day Shift Amazon Python Jobs in Livermore, CA (NOW HIRING)

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Day Shift Amazon Python information

See Livermore, CA salary details

$15

$68

$101

How much do day shift amazon python jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for day shift amazon python in Livermore, CA is $68.76, according to ZipRecruiter salary data. Most workers in this role earn between $56.68 and $78.12 per hour, depending on experience, location, and employer.

What is the difference between Day Shift Amazon Python vs Day Shift Amazon Data Analyst?

AspectDay Shift Amazon PythonDay Shift Amazon Data Analyst
Required SkillsPython programming, data analysis, scriptingData analysis, SQL, Excel, Python (optional)
Work EnvironmentWarehouse, logistics, scripting tasksOffice, data reporting, analysis
CertificationsPython certifications, data analysis coursesData analysis certifications, SQL certifications
Industry UsageAutomation, process optimizationPerformance metrics, reporting

While both roles involve data handling, the Day Shift Amazon Python role focuses on scripting and automation within logistics operations, whereas the Day Shift Amazon Data Analyst emphasizes data reporting and analysis to improve business decisions. The roles share some technical skills but differ in daily tasks and work environment.

What are popular job titles related to Day Shift Amazon Python jobs in Livermore, CA? For Day Shift Amazon Python jobs in Livermore, CA, the most frequently searched job titles are:
What job categories do people searching Day Shift Amazon Python jobs in Livermore, CA look for? The top searched job categories for Day Shift Amazon Python jobs in Livermore, CA are:
What cities near Livermore, CA are hiring for Day Shift Amazon Python jobs? Cities near Livermore, CA with the most Day Shift Amazon Python job openings:

Python Software Engineer (JrMid Level)

Stellar IT Solutions

Fremont, CA • On-site

Other

Posted 11 days ago


Job description

Python Software Engineer (Jr-Mid Level) 6 months, with potential extension or conversion Fremont, CA 5 days onsite Role Summary

We are seeking a junior to midlevel Python Software Engineer (3-5 years experience) to design, build, and optimize dataintensive applications and machine learning solutions. The ideal candidate will come from fastpaced technology companies (Amazon, Google, Microsoft, PayPal, Uber, Airbnb, Doordash, Expedia, etc.) and have a concise resume highlighting handson coding contributions, debugging, troubleshooting, and distributed systems experience.

This role requires strong engineering fundamentals, recent handson development, and the ability to clearly articulate technical contributions.

Responsibilities
  • Design, develop, and deploy LLMpowered and AIdriven applications.

  • Build scalable, highperformance solutions using Python and modern engineering practices.

  • Develop and maintain REST APIs and microservices supporting critical business operations.

  • Work with diverse data sources (text, voice, image, structured datasets).

  • Collaborate with crossfunctional teams to identify opportunities for automation and optimization.

  • Own production systems: monitoring, troubleshooting, and continuous improvement.

  • Translate ambiguous business requirements into endtoend technical solutions.

  • Write clean, maintainable, and reusable code following agile practices.


MustHave Requirements
  • 3-5 years of professional software engineering experience.

  • Bachelor s or Master s in Computer Science, Engineering, or equivalent practical experience.

  • Strong handson Python experience for dataintensive and highperformance applications.

  • Experience building and deploying production machine learning solutions.

  • Demonstrated work with Large Language Models (LLMs) and Generative AI.

  • Experience developing REST APIs and microservices.

  • Proficiency with MySQL and Redis.

  • Familiarity with at least one deep learning framework (PyTorch, TensorFlow, JAX).

  • Strong fundamentals in statistics, data analysis, model evaluation, and performance optimization.

  • Clear examples of debugging, troubleshooting, and distributed systems problemsolving.


NicetoHave Qualifications
  • Experience with recommender systems, operations research, or advanced AI/ML solutions.

  • Building and supporting enterprisescale ML platforms.

  • Working with large, complex datasets in production environments.

  • Knowledge of C# and ASP.NET (secondary skill).

  • Prior experience automating compliance frameworks and generating audit evidence.