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Contract Python Developer Google Jobs in San Jose, CA

Pddn

Python SRE

Redwood City, CA · On-site

$61.50 - $84.75/hr

Python SRE Redwood City, CA Contract Responsibilities: * 3+ years of experience designing, building and implementing server software * Strong coding ability in an object-oriented language (Python ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

Role Overview: We're looking for a motivated Software Developer who's ready to jump into the world ... Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA

Role Overview: We're looking for a motivated Software Developer who's ready to jump into the world ... Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG ...

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All JobsContract Python Developer Google JobsContract Python Developer Google Jobs in San Jose, CA

Contract Python Developer Google information

See San Jose, CA salary details

$15

$68

$101

How much do contract python developer google jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for contract python developer google in San Jose, CA is $68.70, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $78.03 per hour, depending on experience, location, and employer.

What does a contract Python developer do at Google?

A Contract Python Developer at Google is responsible for designing, developing, testing, and maintaining Python applications or scripts that support various projects and services. They typically work on a contract basis, contributing to short- or long-term initiatives, such as data analysis, automation, backend development, or integration tasks. Contract developers often collaborate with full-time engineers and other teams to deliver scalable and efficient solutions that meet Google's high standards. Their work may involve using Google Cloud Platform, APIs, and other internal tools to solve technical challenges.

How does a contract Python developer at Google typically integrate with permanent engineering teams?

As a Contract Python Developer at Google, you'll often work closely with permanent engineering teams on specific projects or to address particular skill gaps. Contractors are usually expected to quickly adapt to existing codebases and contribute to ongoing development cycles, collaborating through code reviews, stand-ups, and sprint planning. While you may not participate in long-term strategic planning, your input is valued in delivering high-quality, scalable solutions. Effective communication and the ability to onboard rapidly are key to success in this dynamic environment.

What are the key skills and qualifications needed to thrive as a contract Python developer at Google, and why are they important?

To thrive as a Contract Python Developer at Google, you need strong proficiency in Python programming, experience with software development lifecycles, and a relevant technical degree or equivalent experience. Familiarity with Google Cloud Platform (GCP), code versioning tools like Git, and frameworks such as Django or Flask is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These abilities ensure high-quality, scalable code delivery and smooth collaboration within dynamic, fast-paced engineering teams at Google.

What is the difference between Contract Python Developer Google vs Contract Python Engineer?

AspectContract Python Developer GoogleContract Python Engineer
Required CredentialsPython certification, relevant experience, possibly Google-specific toolsPython certification, general software engineering experience
Work EnvironmentGoogle's offices or remote, collaborative teams, fast-paced projectsVaries by employer, often remote or on-site, project-based
Industry UsagePrimarily in tech, cloud, and software servicesTech, finance, startups, and enterprise sectors
Search & Comparison IntentLooking for Google-specific contract roles involving PythonGeneral Python contract roles in various industries

Contract Python Developer Google typically involves working on Google's platforms with specific tools and environments, often requiring familiarity with Google Cloud. Contract Python Engineer is a broader role applicable across multiple industries, focusing on Python development without the Google-specific context. Both roles demand strong Python skills, but the Google role emphasizes familiarity with Google's ecosystem.

Does Google hire Contract Python developers?

Google does hire contract Python developers for various projects, often requiring strong programming skills, experience with Python frameworks, and familiarity with cloud environments. Contract roles may vary in duration and scope, and candidates typically need relevant technical expertise and sometimes security clearances. These positions are usually posted on Google's careers site or through staffing agencies.

What are the most commonly searched types of Python Developer Google jobs in San Jose, CA?

The most popular types of Python Developer Google jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Contract Python Developer Google jobs?

Cities near San Jose, CA with the most Contract Python Developer Google job openings:

Contract Python Developer Google jobs near you

Software Engineer Python

Precision Technologies Corp

Mountain View, CA • On-site

Contractor

Re-posted 25 days ago

Job description

Role : Software Engineer

Location : Mountain View CA (5 days working)

Minimum Basic Requirements

  • Python Proficiency: Write, update, and maintain Python frameworks and libraries to support data processing and integration tasks.
  • Composer / Apache Airflow: Hands-on experience with Apache Airflow, including updating DAGs, managing multi-node rollouts, and troubleshooting issues
  • Code Management: Use Git and GitHub for source control, code reviews, and version management.
  • GCP Proficiency: Extensive experience working with GCP services (e.g., Big Query, Cloud Dataflow, Pub/Sub, Cloud Storage, Monitoring). Knowledge of resource labeling and automation through SDKs or APIs.
  • Software Engineering: Strong understanding of software engineering best practices, including version control (Git), collaborative development (GitHub), code reviews, and CI/CD.
  • Problem-Solving: Excellent problem-solving skills with the ability to tackle complex data engineering challenges.
  • Communication: Excellent stakeholder communication skills, with the ability to interface directly with data scientists, platform engineers, and other clients to explain complex technical details, coordinate rollouts, triage issues, and provide updates
  • Bachelor’s or master’s degree in computer science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program

What you’ll do

  • Develop and enhance Python frameworks and libraries to support cost tracking, data processing, data quality, lineage, governance, and MLOps.
  • Implement data processing optimizations to reduce the cost of our larger training data and features pipelines.
  • Build scalable features and training data batch pipelines leveraging Big query, Dataflow and Composer scheduler/executor framework on Google Cloud Platform.
  • Implement monitoring, logging, and alerting systems to ensure the reliability and stability of our data and ml infrastructure and pipelines.
  • Plan and oversee infrastructure rollouts, including phased deployments, validation, and rollback strategies.
  • Act as primary point of contact for Data Scientists, ML Engineers, and other stakeholders handling rollout coordination, communications, and issue resolution.
  • Collaborate with ML Platform engineers to ensure seamless integration of updates into workflows.
  • Document processes and changes, providing clear runbooks and handoffs for ongoing support.

Preferred Requirements

  • Python Mastery: Strong Python development background, with demonstrated experience maintaining and extending production-grade SDKs or internal libraries
  • Change Management: Experience with infrastructure rollout and change management, including phased deployments, validation, and rollback strategies
  • Resiliency: Comfortable working in fast-moving ML/AI platform environments, where reliability, transparency, and client experience are key
  • Batch Pipelines: Experience with building, deploying, and maintaining production batch pipelines processing and publishing petabytes of data.