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Internship Python Developer Google Jobs in Virginia

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Implement server-side logic using Node.js, Python, or a similar backend framework. * Database ...

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Implement server-side logic using Node.js, Python, or a similar backend framework. * Database ...

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Implement server-side logic using Node.js, Python, or a similar backend framework. * Database ...

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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 Virginia? The most popular types of Python Developer Google jobs in Virginia are:
What job categories do people searching Internship Python Developer Google jobs in Virginia look for? The top searched job categories for Internship Python Developer Google jobs in Virginia are:
What cities in Virginia are hiring for Internship Python Developer Google jobs? Cities in Virginia with the most Internship Python Developer Google job openings:
Cloud Data and AI Engineer, Professional Services with Security Clearance

Cloud Data and AI Engineer, Professional Services with Security Clearance

Google, Inc.

Reston, VA • On-site

$119K - $143K/yr

Other

Posted 29 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies


Job description

Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.Minimum qualifications: * Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. * 3 years of experience with software development in Python, Java, or C++, and relational database technologies. * Experience implementing data and AI solutions (including Large Language Models (LLMs)) and providing technical leadership to business stakeholders and education to partners. * Ability to travel up to 30% of the time as needed. * Must possess an active Secret security clearance. Preferred qualifications: * Experience with database and AI integrations. * Experience with machine learning operations, data warehousing, and data pipeline development, including ETL and ELT. * Experience working with cloud databases such as RDS, Aurora, ElastiCache, CloudSQL, AlloyDB, Datastore, or Bigtable. * Experience in database administration techniques including storage, clustering, availability, disaster recovery, security, logging, performance tuning, monitoring and auditing. * Experience developing, deploying, and managing machine learning models, including experience writing software in one or more languages, such as Java, Python, or Golang. * Experience with database management tools for backups, recovery, snapshot management, sharding, partitioning and as well as database performance tuning. About the job As a Cloud Data and AI Engineer, you will guide Public Sector customers to develop, configure and deploy their data and AI solutions. Together with the team, you will support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more. You will consult with customers on how to best design their data and AI solutions including development and deployment of ML models, and integrations with leading Google technologies. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to drive excellence in Google Cloud products and features. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $127000 - $183000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities * Be highly collaborative and work closely with data producers, consumers and Data and AI Engineering teams across public sector customers and teams to understand the data needs, provide consultation, and design and develop solutions. * Analyze on-premise and cloud database environments, consulting on the optimal design for performance and deployment on Google Cloud Platform. * Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations, adapting to different levels of key business and technical stakeholders. * Translate business requirements into conceptual, logical, and physical data models. * Design, build, and maintain data and AI solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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