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Summer Python Developer Google Jobs in North Carolina

Snowrelic Inc

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

We are seeking an experienced Python Developer with strong expertise in MongoDB to lead the design ... Deploy applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. * Engage in ...

Netsynk

Python AI Engineer

Charlotte, NC · On-site

Deploy AI/ML solutions on AWS, Azure, or Google Cloud Platform * Follow MLOps / LLMOps best practices Required Skills: * 5+ years of experience in Python development and AI/ML engineering * Strong ...

New

Google

Software Engineer, Google Cloud Storage

Raleigh, NC · On-site

$58.25 - $75.75/hr

... programming in C , Go, or Python. * 2 years of experience testing, maintaining, or launching ... Experience in Golang. About the job Google's software engineers develop the next-generation ...

Themesoft, Inc.

AI Engineer

Charlotte, NC · On-site

Seasoned developer (10 plus years) with advanced experience in Java/Python * Hands on AI experience developing LLM based applications * Orchestration using Langraph/Google ADK * MCP experience About ...

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All JobsSummer Python Developer Google JobsSummer Python Developer Google Jobs in North Carolina

Summer Python Developer Google information

Is 23 dollars an hour good for an internship?

For a Summer Python Developer internship, $23 an hour is generally considered competitive, especially for entry-level roles that require programming skills and familiarity with tools like Python and Git. Internships often pay between minimum wage and $25 per hour, depending on location, company, and required skills, making $23 a solid rate for many regions and organizations.

How to get a job in Google as a Python developer?

To secure a Python developer role at Google, candidates should have strong programming skills in Python, experience with data structures and algorithms, and familiarity with software development best practices. Building a solid portfolio, contributing to open-source projects, and preparing for technical interviews are also essential steps in the hiring process.

Does Google hire through GSoC?

Google Summer of Code (GSoC) is a program that offers students the opportunity to contribute to open-source projects, including some affiliated with Google. While GSoC participants may gain experience and recognition, it is not a direct hiring pathway for Google employment, and Google does not guarantee job offers through the program. However, participating can enhance a candidate's profile for future job applications at Google or other tech companies.

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

AspectSummer Python Developer GoogleSummer Data Analyst Google
Required SkillsPython, programming, data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis teams, reporting tasks
Industry UsageTech, software, AI projectsBusiness, marketing, product insights

Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.

How much does Google pay summer interns?

Google's summer Python Developer interns typically receive a competitive stipend, often ranging from $7,000 to $8,000 per month, depending on location and experience. Interns also benefit from housing stipends, mentorship, and access to Google's resources during the internship period.
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Summer Python Developer Google jobs near you
Python Developer

Python Developer

Snowrelic Inc

Charlotte, NC • On-site

$49 - $67.75/hr

Contractor

Re-posted 16 days ago

Job description

We are seeking an experienced Python Developer with strong expertise in MongoDB to lead the design, development, and deployment of scalable backend solutions. The ideal candidate will be responsible for guiding a team of developers, architecting robust data models, and building high-performance, secure APIs and microservices leveraging Python and MongoDB. 

Location: Charlotte, North Carolina/ Irving, TX 

Client Interview will be In person (mandatory ) 

Responsibilities: 

  • Develop, enhance, and maintain Python-based banking applications with a focus on clean, efficient, and reliable code. 

  • Design and implement algorithms, data structures, and solutions to optimize application performance. 

  • Build and consume RESTful APIs to facilitate seamless data exchange and integration across banking systems. 

  • Develop web applications using Python frameworks such as Django, Flask, or FastAPI. 

  • Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis and machine learning tasks (advantageous but optional). 

  • Collaborate with cross-functional teams on system design, architecture, and best practices in development. 

  • Implement CI/CD pipelines using Jenkins, GitLab CI, or Circle CI for automated testing and deployment. 

  • Deploy applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. 

  • Engage in troubleshooting, code reviews, and ensuring compliance with banking security standards. 

  • Work with legacy banking systems, migration projects, and modernization efforts. 

Requirements: 

  • Bachelor’s degree in Computer Science, Software Engineering, or related field. 

  • 10+ years of professional experience in Python development, with substantial banking domain exposure. 

  • Strong mastery of Python syntax, data structures, object-oriented programming, and design patterns. 

  • Extensive experience with Python web frameworks such as Django, Flask, or FastAPI. 

  • Proven experience designing and integrating RESTful APIs. 

  • Hands-on knowledge of database systems like SQL Server, Oracle, or similar, and ORM frameworks such as Django ORM or SQLAlchemy. 

  • Familiarity with cloud deployment (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. 

  • Solid understanding of CI/CD practices and tools. 

  • Excellent problem-solving skills, attention to detail, and ability to work under deadlines. 

  • Preferred: Experience working within banking or financial institutions. 

Preferred, but not required: 

  • Knowledge of machine learning libraries such as SciPy, Scikit-learn, TensorFlow. 

  • Experience with legacy banking systems and modernization projects. 

  • Strong communication skills and team collaboration experience. 

  • Agile/Scrum development experience.