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Data Engineer, Play Data Science and Analytics

Google is a global technology company that provides a wide range of internet-related services and products.
$180,000 - $267,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS
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Description For Data Engineer, Play Data Science and Analytics

Google is seeking a Data Engineer to join their Play Data Science and Analytics team in Mountain View, CA. This role offers a competitive base salary range of $180,000-$267,000 plus bonus, equity, and comprehensive benefits.

The position requires an experienced professional with 10 years of coding experience and 8 years of data pipeline design expertise. You'll be responsible for architecting and implementing data marts that power critical analytics initiatives for the Play Store organization. The role combines technical expertise in data engineering with business acumen to deliver solutions that drive impact across multiple stakeholders.

Working with various Data Science and Analytics teams, you'll design and build data infrastructure that accelerates analytics capabilities. Your responsibilities will include developing ETL processes, ensuring data quality, and creating frameworks for efficient data logging. You'll need to balance technical considerations with operational efficiency while maintaining robust data governance standards.

The ideal candidate will have deep expertise in SQL and programming languages like Python or Java, along with experience in cloud-based services and data processing technologies such as Hadoop and Spark. A background in dimensional data modeling and experimentation infrastructure is highly valued. You'll work closely with cross-functional teams including engineering, data science, marketing, and strategy to identify and capitalize on data opportunities.

Google offers a collaborative environment where you'll have the opportunity to work on large-scale data challenges that impact millions of users. The company provides comprehensive benefits, including medical insurance, 401k, equity, and bonus potential. This role offers the chance to work at the intersection of big data and product analytics while contributing to one of the world's leading technology companies.

The position requires strong technical skills combined with excellent communication abilities to work effectively with diverse stakeholders. You'll be part of a team that values innovation, technical excellence, and data-driven decision making. If you're passionate about solving complex data challenges and want to make an impact at scale, this role offers an excellent opportunity to advance your career in data engineering at Google.

Last updated 14 days ago

Responsibilities For Data Engineer, Play Data Science and Analytics

  • Conceptualize and own the build out of problem-solving data marts for consumption by data science and BI teams
  • Design, develop, and maintain robust data pipelines and ETL processes
  • Create or contribute to frameworks that improve the efficacy of logging data
  • Validate data integrity throughout the collection process
  • Influence product and cross-functional teams to identify data opportunities

Requirements For Data Engineer, Play Data Science and Analytics

Python
Java
  • Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience
  • 10 years of experience coding with SQL or one or more programming languages for data manipulation, analysis, and automation
  • 8 years of experience designing data pipelines (ETL) and dimensional data modeling
  • Experience in managing troubleshooting technical issues
  • Experience working with Engineering and Sales Services teams

Benefits For Data Engineer, Play Data Science and Analytics

Medical Insurance
401k
Equity
  • Bonus
  • Equity
  • Benefits package

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