
Google Maps Traffic Integrity Engineering Analyst
Mountain View, CAJob$188–274K/yrSeen todaySeen in employer's feed today
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Job overview
The Google Maps Traffic Integrity Engineering Analyst will investigate bot, scraper, and other abuse patterns targeting Google Maps and Geo data. The role measures the effectiveness of protections and their impact on legitimate users, develops anti-scraping defenses and machine-learning signals, and researches attacks and threat actors. The team aims to protect Geo data while minimizing friction for legitimate users.
Skills & qualifications
Skills
Qualifications
Full job description
Google Maps Traffic Integrity Engineering Analyst
Share Google Maps Traffic Integrity Engineering Analyst
corporate_fare Google place Mountain View, CA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Share Google Maps Traffic Integrity Engineering Analyst
Minimum qualifications:
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Bachelor's degree or equivalent practical experience.
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7 years of experience in managing projects and defining project scope, goals and deliverables.
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7 years of experience in a data-intensive role such as threat intelligence, data science, trust and safety, or fraud analysis.
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7 years of experience in data analysis including identifying trends, generating summary statistics and drawing insights from quantitative and qualitative data.
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Experience with threat intelligence, anti-abuse, security, network analysis, or fraud detection.
Preferred qualifications:
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Master's degree in Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field.
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Experience with abuse detection, spam, web development or project management.
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Experience with data analysis, statistical analysis and data science and large language models.
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Experience with Search Engine Optimization (SEO).
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Experience in coding with SQL, JavaScript, Python, or C++.
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Understanding of machine learning systems and concepts.
About the job
Maps Anti-Scraping Protection team is dedicated to protecting Google's valuable Geo data assets from automated exfiltration. The core mission is to protect Maps data and map details from programmatic exfiltration.
A core priority is to ensure minimal friction for the legitimate users. The work is crucial for maintaining the integrity of Google Maps, user trust, and Geo's competitive edge. This is approached through identifying, analyzing, and mitigating various forms of abuse across all Maps surfaces, leveraging both established techniques and cutting-edge research.
In this role, you will understand the evolving bot and scraper landscape, identify new abuse and inorganic traffic patterns targeting Geo data and services, and measure the effectiveness of our protections and suggest improvements. You will identify abuse trends, track threat actors and measure the effectiveness of our protections against bots, as well as impact on real users through extensive data analysis and AI/ML.
Use this template only when existing Area Templates don't apply. For one-off use cases, not ongoing roles. If you need to create a NEW template for your team submit a request at go/jdreview.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Investigate and analyze complex patterns of data exfiltration and abuse on Google Maps, utilizing data-driven insights to develop and propose effective countermeasures. Analyze large-scale logs data from various Geo surfaces to identify, understand, and monitor inorganic traffic, scraping activities, and abuse patterns.
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Design, test, and launch new anti-scraping rules, models, and system enhancements tailored to Geo's products and infrastructure. Evaluate the effectiveness of detection mechanisms, understand the impact on both scrapers and legitimate user experience.
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Develop metrics to measure scraper impact on Geo services and the effectiveness of anti-scraping defenses. Contribute to the development of signals and features for ML models to detect scraping attempts.
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Investigate proof-of-concept attacks and research reports that identify blind spots and guide the team's development priorities.
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Develop threat intelligence on actors, motivations, tactics, and the ecosystem targeting Geo data.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
How this job compares
Set against the 5,226 open Data Analyst jobs on Olive Jobs, counted November 7, 2026.
- Pay
- This posting$188–274K/yr
- California median$109–170K/yr287 salary ranges
- US median$89–134K/yr3,294 salary ranges
This range's midpoint, $231K, is 65% above the California median midpoint ($140K) — in the top quarter of Data Analyst salary ranges in California.
- Openings
- Olive Jobs lists 411 open Data Analyst jobs in California and 5,226 across the US. 6% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 7 years of experience — more than three in four Data Analyst postings that state a minimum ask for (median 4 years, across 3,878 postings).
- Education
- 2,254 of the 5,226 open Data Analyst jobs (43%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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