Data Engineer, Trust and Safety Consumer Analytics

$108,000 - $158,000/Yr

Google - Austin, TX

Full-time - Mid Level

Austin, TX

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About the position

The Data Engineer for Trust and Safety Consumer Analytics at Google is responsible for designing and developing the data infrastructure that supports metrics and measurement capabilities across various Google products. This role is crucial in ensuring that stakeholders have access to the necessary data for making informed business decisions, while also addressing regulatory reporting requirements. The position involves collaboration with multiple teams to create innovative data solutions that enhance user trust and safety across Google's platforms.

Responsibilities

• Design, implement, test, optimize, and troubleshoot analytics and reporting solutions to solve business performance management challenges and meet regulatory reporting requirements.
• Collaborate with and influence business and engineering stakeholders to ensure our data infrastructure and products meet constantly evolving requirements.
• Work closely with analysts to productionize analytics and reporting prototypes, and various statistical and machine learning models.
• Design, implement, and own technical implementation of production-level data pipelines, documentation, check-in process, etc.
• Write and review technical documents including design, requirements, and process documentation.
• Acquire deep understanding of business processes, tools, and customer expectations, and design and develop scalable data infrastructure to support reporting needs.

Requirements

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data analytics, Trust & Safety, policy, cybersecurity, or related fields.
• 3 years of experience working with business analytics or data analysis.
• Experience with code optimization and in SQL, Python, or R.

Nice-to-haves

• Master's degree or PhD in Computer Science or related technical field.
• 3 years of experience in large-scale distributed data processing.
• Experience designing data warehouses, especially for business performance management including: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
• Experience with machine learning and familiarity with NoSQL databases.
• Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.

Benefits

• Base salary range of $108,000-$158,000 + bonus + equity + benefits.