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Google Sql Jobs (NOW HIRING)

You will manage and architect structures across database systems (e.g., Oracle, SQL Server, MySQL, AlloyDB, and Vertica), leveraging SQL for querying and data analysis. Google's Raxium display group ...

Google Cloud Platform Engineer

Dallas, TX

$55.50 - $74/hr

Configure and maintain Google Cloud Platform services such as Compute Engine, GKE, Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, and IAM. * Implement Infrastructure as Code (IaC) using Terraform or ...

Hands-on experience developing a distributed data processing platform with Big Data technologies like Hadoop, Google BigQuery, DataFlow Experience with commercial ETL platforms like Informatica, SSIS ...

US: $192000 - $279000 (USD) 20% bonus target bonus equity benefits Learn more about benefits at Google . Responsibilities * Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide ...

Google Cloud Data Architect

Dallas, TX · On-site

$63 - $81/hr

Advanced Python and SQL proficiency. * Bachelor's/Master's in Computer Science, Information Systems, or equivalent. * Google Cloud Professional Cloud Architect (required or within 3 months ...

NoSQL / SQL DBA with HBase

San Francisco, CA · On-site

$59 - $73.75/hr

Google cloud preferred Strong HBase/Big Table and Big Query skills. Strong application DBA skills ... Well versed in scripting using spark, sql etc. Strong experience with Mapreduce, Hive, Spark, Sqoop ...

... SQL) to increase speed and accuracy. 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 ...

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How much do google sql jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for google sql in the United States is $52.60, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $59.62 per hour, depending on experience, location, and employer.

What is a Google SQL job?

A Google SQL job typically refers to a role involving Google Cloud SQL, a managed database service for MySQL, PostgreSQL, and SQL Server. Professionals in this role are responsible for designing, managing, optimizing, and securing cloud-based databases. They may work on tasks such as database migration, performance tuning, and ensuring high availability. Knowledge of Google Cloud Platform (GCP), SQL, and database administration is often required.

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

Excelling in a Google SQL role requires proficiency in SQL querying, data modeling, and a strong understanding of relational database management, often supported by degrees in computer science or related fields. Experience with Google Cloud Platform (specifically BigQuery and Cloud SQL), as well as familiarity with data visualization tools and certifications like Google Cloud Certified — Professional Data Engineer, are highly valued. Attention to detail, analytical thinking, and effective communication are important soft skills for collaborating across teams and translating data insights. These abilities enable professionals to create accurate, scalable, and actionable data solutions to drive informed business decisions.

What are typical daily responsibilities for someone working in a Google SQL role?

A professional in a Google SQL position typically spends their day designing, developing, and optimizing SQL queries to extract and analyze data from Google Cloud-based databases. They also collaborate closely with data analysts, engineers, and business stakeholders to translate requirements into actionable data models and help visualize key metrics. Time is often dedicated to troubleshooting data issues, maintaining database documentation, and ensuring that data pipelines run efficiently and securely. This role offers a dynamic environment where continuous learning and cross-functional teamwork are essential for success.

More about Google Sql jobs
What are the most commonly searched types of Google Sql jobs? The most popular types of Google Sql jobs are:
What states have the most Google Sql jobs? States with the most job openings for Google Sql jobs include:
What job categories do people searching Google Sql jobs look for? The top searched job categories for Google Sql jobs are:
Infographic showing various Google Sql job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $109,407 per year, or $52.6 per hour.

Staff Research Data Scientist, Search Ads AI Monetization

Google

Mountain View, CA • On-site

Full-time

Posted 3 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies


Job description

Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
  • 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.
  • 5 years of experience with analytics and AI/ML technologies, including their current and potential applications to the media and entertainment industry.
  • 3 years of experience as a people manager within a technical leadership role.
  • Experience working with consumer-facing technology products.

Preferred qualifications:
  • 10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of experience with a PhD degree.

About the job
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) 20% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

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.

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