Google's gTech Users and Products (gUP) division is seeking a Senior Data Engineer to join their team in creating helpful and trusted experiences across Google's product ecosystem. This role combines technical expertise with user advocacy, requiring strong skills in data pipeline design, analytics, and machine learning. The position offers a competitive compensation package of $146,000-$216,000 plus bonus, equity, and benefits.
The role involves designing and building large-scale distributed data processing systems, with a focus on security, compliance, and scalability. You'll be responsible for developing data models and pipelines for visualization and machine learning applications, while working with various stakeholders to deliver projects on time and within budget.
The ideal candidate brings 5 years of programming experience in languages like Python, Java, or JavaScript, along with extensive experience in data analysis, ETL processes, and dimensional data modeling. Knowledge of real-time data processing systems like Kafka and experience with machine learning workflows are highly valued.
Working at Google means joining a global team that's committed to creating world-changing products and services. The gTech team plays a crucial role in bringing these products to life, providing technical solutions and support to customers worldwide. This position offers the opportunity to work with cutting-edge technology while contributing to products that impact billions of users.
The role is available in multiple locations including Boulder, Atlanta, and Pittsburgh, offering the chance to work with diverse teams and tackle complex technical challenges. Google provides a comprehensive benefits package and promotes an inclusive work environment that values diversity and equal opportunity.