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Internship Python Developer Google Jobs in California

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Internship Python Developer Google information

What is the difference between Internship Python Developer Google vs Internship Data Analyst Google?

AspectInternship Python Developer GoogleInternship Data Analyst Google
Required SkillsPython, programming, basic data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis, reporting, dashboards
Industry UsageSoftware, tech, AI projectsBusiness intelligence, marketing, operations

Internship Python Developer Google focuses on coding, software development, and programming skills, often in AI or backend projects. In contrast, Internship Data Analyst Google emphasizes data analysis, visualization, and reporting skills for business insights. Both roles are valuable entry points in Google's tech ecosystem but serve different functions within the company's diverse projects.

What are the most commonly searched types of Python Developer Google jobs in California? The most popular types of Python Developer Google jobs in California are:
What cities in California are hiring for Internship Python Developer Google jobs? Cities in California with the most Internship Python Developer Google job openings:

Senior Software Engineer - Data Infrastructure (Python | AWS/Google Cloud Platform | Kubernetes)

Finoit Inc.

Redwood City, CA • On-site

$140K - $168K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Senior Software Engineer – Data Infrastructure (Python | AWS/Google Cloud Platform | Kubernetes)

Location: Redwood City, CA (On-site)

We are seeking an experienced Software Engineer – Data Infrastructure to build scalable data platforms that support AI/ML applications. This role focuses on designing distributed data pipelines, processing large-scale multimodal data, and developing tools that improve data quality, visualization, and model evaluation.

Responsibilities:

  • Build and maintain scalable data pipelines using Python, Kubernetes, and AWS/Google Cloud Platform.
  • Design systems for processing, validating, and managing large datasets.
  • Develop internal tools for data visualization, observability, and workflow automation.
  • Work closely with AI/ML and engineering teams to improve data quality and model performance.
  • Optimize backend systems, databases, and distributed infrastructure.

Required Skills:

  • 5+ years of software engineering experience.
  • Strong Python programming skills (NumPy, Pandas).
  • Experience with AWS or Google Cloud Platform and Kubernetes.
  • Hands-on experience with PostgreSQL, Redis, or other databases.
  • Strong algorithms and problem-solving skills.

Preferred Skills:

  • React/TypeScript.
  • Airflow, Kubeflow, or similar workflow tools.
  • MLFlow or Weights & Biases.
  • Experience with robotics, computer vision, LiDAR, or multimodal data.

Employment Type: Full-Time