May 10, 2025

Data Engineer, Play Data Science and Analytics

Senior • On-site

$180,000 - $267,000/yr

Mountain View, CA

Minimum qualifications:

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 (e.g., Python, Java, R, etc.) for data manipulation, analysis, and automation
8 years of experience designing data pipelines (ETL) and dimensional data modeling for synchronous and asynchronous system integration and implementation.
Experience in managing troubleshooting technical issues, and working with Engineering and Sales Services teams.

Preferred qualifications:

Master’s degree in Engineering, Computer Science, Business, or a related field.
Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
Experience with experimentation infrastructure, and measurement approaches in a technology platform.
Experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).

About the job

In this role, you will work with various Data Science and Analytics (DSA) teams and upstream analytics engineering teams to design and build data marts that will empower and accelerate the DSA team and its stakeholders. You will possess an understanding of data scientists and their data requirements and have expertise in architecting data marts, designing and implementing necessary data pipelines, and establishing governance and quality processes to guarantee data availability, usability, and accuracy.The US base salary range for this full-time position is $180,000-$267,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Conceptualize and own the build out of problem-solving data marts for consumption by data science and BI teams, evaluating design and operational cost-benefit tradeoffs within systems.
Design, develop, and maintain robust data pipelines and ETL processes using data platforms for the Play Store organization's centralized data warehouse.
Create or contribute to frameworks that improve the efficacy of logging data, while working with the Data Infrastructure Engineering team to triage issues and resolve them.
Validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies.
Influence product and cross-functional (engineering, data science, marketing, strategy) teams to identify data opportunities to drive impact.

Google

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.