Data Engineer, Play Data Science and Analytics

Google is seeking a Data Engineer for their Play Data Science and Analytics team, offering a competitive salary range of $180,000-$267,000 plus benefits. This role combines technical expertise with strategic impact, requiring 10 years of programming experience and 8 years of ETL pipeline design.

The position involves working with various Data Science and Analytics teams to architect and implement data solutions that drive decision-making for the Play Store organization. You'll be responsible for designing data marts, creating robust ETL processes, and establishing data governance frameworks to ensure data quality and accessibility.

The ideal candidate will have strong technical skills in SQL, Python, or Java, along with experience in cloud-based services and data processing technologies like Hadoop and Spark. You'll need to understand both the technical aspects of data engineering and the business context of data science applications.

Key responsibilities include building problem-solving data marts, maintaining ETL pipelines, improving data logging frameworks, and ensuring data integrity. You'll work closely with cross-functional teams, including engineering, data science, marketing, and strategy, to identify and capitalize on data opportunities.

This role offers the opportunity to work at Google's Mountain View headquarters, contributing to the success of the Play Store platform while collaborating with top talent in the field. The position comes with Google's comprehensive benefits package and the chance to work on large-scale data challenges that impact millions of users.

The role requires a bachelor's degree in Computer Science or related field, though a master's is preferred. Experience with cloud services, experimentation infrastructure, and data processing software will be valuable assets. This is an excellent opportunity for a senior data engineer looking to make a significant impact at one of the world's leading technology companies.