Senior Data Engineer, Machine Learning Data Services, gTech
Description For Senior Data Engineer, Machine Learning Data Services, gTech
Google's gTech Users and Products (gUP) team is seeking a Senior Data Engineer to join their Machine Learning Data Services team. This role combines technical expertise in data engineering with ML/AI capabilities to support various AI initiatives across Google. The position involves working with large-scale data systems, building data pipelines, and implementing solutions that enhance user experience and engagement.
The role requires strong technical skills in programming (Python, Java, JavaScript), data analysis, and ETL pipeline design. You'll be responsible for analyzing complex datasets, implementing statistical models, and working with cutting-edge Generative AI technologies. The position offers opportunities to work on challenging technical problems while collaborating with various stakeholders across Google.
As a Senior Data Engineer, you'll be part of a team that provides scalable data services supporting numerous AI initiatives. You'll act as both a technical expert and consultant, providing solutions to partners while advocating for product improvements. The role combines deep data analysis with partner consultation, requiring excellent communication skills and the ability to translate technical concepts for various audiences.
The position offers competitive compensation ($150,000-$220,000 base salary) plus bonus, equity, and comprehensive benefits. You'll be working from either Boulder, CO or Atlanta, GA, contributing to Google's mission of creating products and services that make the world a better place. This is an excellent opportunity for someone passionate about data engineering, machine learning, and working with cutting-edge AI technologies at one of the world's leading tech companies.
Responsibilities For Senior Data Engineer, Machine Learning Data Services, gTech
- Provide consultation to partners facing daily challenges, delivering innovative and scalable solutions, and performing technical troubleshooting
- Advocate for new product features and ensure timely and accurate resolution of technical issues
- Analyze large and complex datasets to solve challenging, non-routine problems using advanced problem-solving techniques
- Apply statistical methods to analyze large-scale datasets, solve complex problems, and present actionable recommendations to stakeholders
- Explore, create, and assess methodologies for measuring complex Generative AI models
Requirements For Senior Data Engineer, Machine Learning Data Services, gTech
- Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, a related field, or equivalent practical experience
- 5 years of experience coding with one or more programming languages (e.g., Python, Java, JavaScript)
- 5 years of experience analyzing data, database querying (e.g., SQL), and creating dashboards/reports
- 5 years of experience designing data pipelines (ETL) and dimensional data modeling for synch and asynch system integration and implementation
Benefits For Senior Data Engineer, Machine Learning Data Services, gTech
- bonus
- equity
- benefits package
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