Senior Data Engineer, Machine Learning Data Services, gTech

Google's gTech Users and Products (gUP) division is seeking a Senior Data Engineer to join their Machine Learning Data Services team. This role combines technical expertise in data engineering with partner consultation and AI/ML implementation. The position offers a competitive base salary range of $150,000-$220,000 plus bonus, equity, and benefits.

The role is part of the Machine Learning (ML) Data Services team, which provides scalable data services supporting numerous AI initiatives across Google. The ideal candidate will be entrepreneurial and detail-oriented, focused on bringing Google AI/ML products to market and to partners. This multifaceted position combines deep data analysis with partner consultation, requiring both technical expertise and strong communication skills.

Key responsibilities include designing and implementing data pipelines, analyzing complex datasets, and developing solutions for AI/ML applications. The role requires expertise in programming languages such as Python, Java, or JavaScript, along with strong SQL skills and experience with ETL processes. The successful candidate will work closely with stakeholders to troubleshoot technical issues and deliver projects within scope and budget.

The position offers the opportunity to work on cutting-edge AI/ML technologies while contributing to Google's mission of creating helpful and trusted experiences across their product ecosystem. The role requires 5 years of relevant experience and offers the choice of working from either Boulder, CO or Atlanta, GA.

This is an excellent opportunity for a seasoned data engineer looking to make an impact at scale, working with advanced technologies and contributing to Google's AI initiatives. The role combines technical depth with business impact, requiring both strong analytical skills and the ability to communicate effectively with various stakeholders.

Google offers a comprehensive benefits package and is committed to creating an inclusive work environment. The company actively seeks diverse candidates and provides equal employment opportunities regardless of background. The position offers professional growth opportunities within one of the world's leading technology companies, working on projects that directly impact millions of users.