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Google Coding Jobs in New York (NOW HIRING)

Software Engineer III

Manhattan, NY · On-site

$147 - $211/hr

Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Google's software engineers develop the next-generation technologies that change how ...

Cyber - Google Cloud Security - Manager

Jericho, NY · On-site

$115K - $155K/yr

Establishing infrastructure-as-code standards using Terraform and defining secure continuous ... Google Cloud Security or Google Cloud Professional certifications The wage range for this role ...

... of coding experience in one or more general purpose languages. Preferred qualifications ... Part of Google Cloud, Mandiant is a recognized leader in dynamic cyber defense, threat intelligence ...

New

Senior Security Engineer, Access Security

New York, NY · On-site

$125K - $171K/yr

... coding experience in one or more general purpose languages. * 1 year of experience leading teams in ... As a Security Engineer on the PRISM team, you will be at the forefront of redefining Google ...

Senior Software Engineer, Ads Bidding ML

New York, NY · On-site

$134K - $176K/yr

Write and test product or system development code. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google ...

Showing results 41-60

Google Coding information

See New York salary details

$14

$36

$59

How much do google coding jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for google coding in New York is $36.13, according to ZipRecruiter salary data. Most workers in this role earn between $27.36 and $43.65 per hour, depending on experience, location, and employer.

What is a Google coding?

A Google Coding job typically refers to a software engineering or developer role at Google, where employees design, develop, test, and maintain software products and systems. These roles require strong programming skills in languages like Python, Java, or C++, along with problem-solving and algorithm expertise. Engineers at Google work on a wide range of projects, including search algorithms, AI, cloud computing, and mobile applications.

What does a typical workday look like for someone in a Google coding role?

A typical day for someone in a Google Coding role involves writing, testing, and reviewing code, participating in team meetings such as daily standups or sprint planning, and collaborating closely with other engineers and cross-functional partners. You may also spend time conducting code reviews, troubleshooting technical challenges, and refining project requirements with product managers or designers. The work environment is dynamic, supportive, and oriented toward both individual contributions and teamwork. This structure ensures that engineers at Google have opportunities to learn from peers, contribute to impactful projects, and continually grow their technical and professional skills.

What are the key skills and qualifications needed to thrive in the Google coding position, and why are they important?

To thrive in a Google Coding role, candidates typically need a strong background in computer science, proficiency in programming languages such as Python, Java, or C++, and a degree in a relevant field. Comfort with version control systems like Git, familiarity with large-scale codebases, and experience using cloud technologies (such as Google Cloud Platform) are also advantageous. Outstanding problem-solving abilities, collaboration, and effective communication skills are important soft skills for excelling on engineering teams. These competencies enable innovation, efficient teamwork, and the development of high-quality, scalable software solutions at Google.

What are the most commonly searched types of Google Coding jobs in New York? The most popular types of Google Coding jobs in New York are:
Infographic showing various Google Coding job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $75,142 per year, or $36.1 per hour.

Senior Product Data Scientist, People Operations AI System

Google

New York, NY • On-site

Full-time

Posted 9 days ago


Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of work experience with a Master's degree.

Preferred qualifications:
  • PhD degree in Statistics, Data Science, or a related quantitative field.
  • Experience building original statistical tools for internal products and mentoring data scientists.

About the job
The AI/ML Foundations team is a group of engineers and data scientists tasked with building the foundations for engineering excellence and prototyping helpful, internal-facing AI/ML products.
The Data Scientist (DS) team focuses on delivering investigative insights that influence product priorities and business strategy across the organization. We combine advanced statistical methods with a deep understanding of user behavior and engineer systems to create helpful experiences for our internal stakeholders.
At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google's IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Drive advanced analysis to deliver critical AI system and application insights that shape long-term strategy and influence business priorities.
  • Establish core metrics, measurement frameworks, and methodologies for business systems, partnering with stakeholders to align on metric instrumentation.
  • Design and run feature experiments in partnership with product and engineering teams, advising on advanced metrics and statistical methodology.
  • Define and maintain data collection pipelines, and lead the peer review process for statistical models across the engineering organization.
  • Translate complex statistical variance into clear business risk or cost-saving narratives for executives and non-technical stakeholders.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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