Senior Data Engineer (Online Data)
Core
Design, build, and optimize data pipelines and analytical solutions powering Zoom's Online business (billing, checkout, growth, revenue analytics), owning the full lifecycle from ETL to model delivery.
Role type
Senior individual contributor data engineer
Builds
Scalable ETL workflows, analytical datasets, and data products integrating ML models
Domain
SaaS / Enterprise collaboration / Data infrastructure
Deliverable
production ML models
Required skills
Data pipeline design, ETL development, SQL, database optimization, machine learning, statistical methods, web analytics, data governance, data quality frameworks, visualization
Preferred skills
Cross-functional collaboration, stakeholder management
Technologies
Snowflake, Databricks, Spark, Airflow, dbt, Python
Responsibilities
Design and implement scalable ETL workflows with automated validation; Build analytical datasets from clickstream and user interaction events; Establish and maintain data governance practices and access controls; Implement automated data quality frameworks and alerting; Optimize pipeline performance and database efficiency; Analyze complex datasets using statistical techniques and ML methods; Lead end-to-end development of data products and integrate ML models into production
Seniority
Senior, hands-on IC
