Partner Data Engineer, YouTube Measurement Infrastructure
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
- 3 years of experience with ETL and SQL.
- 3 years of experience working with Python and coding in one or more programming languages: C/C++, Java, Go, Unix/Linux systems.
- 2 years of experience in a client-facing role.
Preferred qualifications:
- 2 years of experience in data visualization.
- Experience working with Google’s data processing stack (e.g., PLX, SQL Pipelines, GoogleSQL).
- Experience working with Google’s technical infrastructure (e.g., Borg, Rapid, Boq).
- Advanced root cause analysis, statistical, time-series and predictive modeling skills.
About the job
The YouTube Infrastructure Measurement Partner Engineering is responsible for developing and managing production-grade infrastructure to ensure that YouTube is represented fairly in third-party reporting tools, the internal data feeding those tools is accurate and consistent, and supporting data needs for various verticals such as YouTube Shopping, YouTube TV, to Integrated Billing. We provide infrastructure support, data mining, and thought leadership to several initiatives shaping the long-term direction of YouTube.
As a Partner Data Engineer on the YouTube Measurement Infrastructure Partner Engineering team, you will be responsible for managing infrastructure solutions that will power YouTube's various strategic initiatives such as public claims and Ads partner integrations.
In this role, you will have the opportunity to design and implement large-scale data pipeline solutions combining data from multiple internal and external data sources. This data will serve as the foundation for various analytical and data science initiatives, providing our cross-functional stakeholders with unique insights and values not found elsewhere.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
The US base salary range for this full-time position is $118,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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.
Responsibilities
- Manage YouTube data feeds and provide ongoing technical support to internal partners for a wide range of YouTube’s viewership metrics initiatives.
- Provide infrastructure solutions for external audience measurement partner integrations.
- Guarantee the technical aspects of YouTube viewership data integrations (both new and ongoing) by providing technical guidance and documentation.
- Identify, drive, and optimize new third-party reporting opportunities by leveraging YouTube technologies.
- Write and maintain lines of code (Python, C++, etc.) to support your own medium to large-scale Extract, Transform, Load (ETL) pipelines.
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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.
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