Data Engineer, Global Sales Activation, Go-To-Market

The Governance, Infrastructure, and Operations (GIO) team sits within Product Operations in the Global Sales Activation (GSA) organization, and is responsible for leading sales workflow activation strategy across business operations, governance, legal compliance, sales enablement, and measurement and analytics. GSA resides within the Go-To-Market Operations (GTM) team and enables Google's Business Organization (GBO) to drive customer success.

As a Data Engineer in this role, you will be responsible for centralizing ads and customer data to enable discovery and analysis for users. You will recommend and adopt best practices in developing and modifying existing data models and ETL pipelines, being responsible for data governance, data integrity, test design, and validation. You will create Extract, Transform, and Load (ETLs) and reporting systems for new data using a variety of traditional as well as large-scale distributed data systems. Additionally, you will work closely with analysts to productionize various statistical and machine learning models using data processing pipelines.

This role requires a Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. You should have at least 3 years of experience coding with one or more programming languages (e.g., Python, Java, C/C++), designing and building data pipelines (ETL) and model data for synch and asynch system integration and implementation, and analyzing data, database query (e.g. SQL), and creating dashboards/reports.

Google offers a competitive salary range of $118,000-$174,000 + bonus + equity + benefits for this position. The company is committed to equal opportunity and creating a diverse, inclusive work environment.

Join Google's data engineering team to help scale centralized reporting and automate data processes, ensuring the business operates more effectively and efficiently.