Data Infrastructure and Analytics Specialist

Data Infrastructure and Analytics Specialist

Google San Bruno, CA, USA;
Atlanta, GA, USA;
Boulder, CO, USA;
Los Angeles, CA, USA;
New York, NY, USA;
San Francisco, CA, USA;
Sunnyvale, CA, USA;
Washington D.C., DC, USA
.

Application window open until at least December 28, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.

Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act.

• Bachelor’s degree or equivalent practical experience.
• 10 years of experience managing projects and working with analytics, software coding, or customer‑side web technologies.

• Experience in designing, building, and maintaining data infrastructure, including data modeling, relational/non‑relational databases, and data warehousing.
• Experience with developing and maintaining data pipelines and Extract, Transform, Load (ETL) processes, using programming languages such as Python, Java, or Go, and proficiency in SQL.
• Experience in data analysis, including data exploration, transformation, and using data to derive insights.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

The US base salary range for this full‑time position is $168,000-$249,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Build systems to directly contribute to the safety and security of Googlers and the company.
• Engage with datasets from various sources, requiring innovative approaches to data processing, analysis, and automation.
• Utilize and develop solutions involving Machine Learning, AI, and advanced analytics pipelines to identify, assess, and manage potential threats more effectively and efficiently.
• Develop and refine tools, dashboards, and automated workflows that enable our security operations teams to be more effective and manage threats.
• Work closely with security analysts, intelligence experts, and other engineering teams across Google to deliver integrated solutions.

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.

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.