Data Engineer, Anti Scraping, Third Party Data Operations

About the role

The GASP team builds technology to protect Geo assets at scale. As a Data Engineer, you will build and manage data pipelines to ensure data sources can be consumed by the Geo Anti-Scraping Program (GASP) for abuse and scraping detection, monitoring and measurement.

Responsibilities

• Architect, build, and maintain data pipelines to ingest, process, and transform logs and signals from various Geo services for scraping detection and analysis.
• Implement and manage data quality frameworks, leveraging AI and automation to enhance data ingestion, ensure data integrity, and improve the accuracy of anti-scraping models and analytics.
• Develop and maintain curated datasets, reports, queries, and dashboards to support client users in understanding and mitigating scraping threats.
• Drive the creation of automated solutions and self-service tools to accelerate data-driven decision-making and improve the efficiency of anti-scraping operations and partner care experiences.
• Provide operational support for anti-scraping data systems, including performance monitoring, post-launch issue resolution, proactive planning for dependency changes and system migrations, while defining and driving the long-term technical goal and roadmap for a scalable, resilient, and cost-effective anti-scraping data infrastructure for Google Maps.

Requirements

• Bachelor's degree or equivalent practical experience.
• 5 years of experience designing, building, and managing production-grade ETL pipelines.
• Experience writing readable, structured code (e.g., Python, Java) and applying AI/ML libraries/frameworks (e.g., TensorFlow, Vertex AI) within data systems.
• Experience applying AI/ML techniques to anti-abuse, security, or fraud detection.

Qualifications

• Experience with AI to drive automation for data pipelines and data quality.
• Experience with data logging, monitoring, and analysis tools.
• Familiarity with distributed systems.
• Understanding of bot detection techniques and adversarial machine learning.
• Able to manage project timelines and deliverables effectively.
• Excellent stakeholder engagement skills, with experience working with both internal teams and external vendors.

Skills

• Experience with distributed systems.
• Understanding of bot detection techniques and adversarial machine learning.
• Ability to manage project timelines and deliverables effectively.
• Excellent stakeholder engagement skills.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $156000 - $227000 (USD) + 15% bonus target + equity + benefits