Zendesk aims to make customer experience better through data and analytics, powering 125,000+ brands and supporting internal teams building CX products. The Zendesk Analytics Prototyping (ZAP) team creates fine-grained datasets that power Zendesk’s customer-facing analytics and inform support operations and product decisions, with the highest quality bar on the customer surface. The Senior AI Data Engineer will work across code, dbt models, and datasets to strengthen the data assets behind Zendesk’s customer-facing reporting and help progress toward an AI-enabled operating model. Key responsibilities include developing and maintaining ELT pipelines, building and optimizing SQL-based data models with dbt, improving data delivery and system efficiency, collaborating to translate requirements into scalable pipelines, and contributing to the team’s technical vision. Basic qualifications include 5+ years of data engineering experience, strong SQL, dbt and data modeling (Kimball/Inmon), Python, cloud data warehouses (BigQuery/Redshift/Snowflake), plus performance and cost optimization; preferred qualifications include AI-augmented engineering practices, SnowPro Core, Spark, Lean/6 Sigma, and the role supports a diverse, hybrid-friendly environment with AI screening as part of the process.
