Data Warehouse Engineer

Zapier, a leading automation platform serving over 2.2 million businesses globally, is seeking a Data Warehouse Engineer to join their Core Go-to-Market (GTM) Data team. This role combines technical expertise in data warehouse engineering with business impact, focusing on advancing data-driven capabilities across advertising, marketing, content, email, support, and RevOps teams.

The position requires expertise in designing and implementing ETL/ELT pipelines using modern technologies like Databricks, dbt, Airflow, and Kafka. You'll be responsible for creating and maintaining data models that support scalable analytics, working with tools like Looker and Amplitude for visualization and reporting.

The ideal candidate brings several years of data warehouse engineering experience, strong SQL skills, and excellent written communication abilities - crucial for success in Zapier's 100% remote environment. You'll need to balance technical excellence with business acumen, working closely with stakeholders to understand and meet their analytical needs.

This role offers competitive compensation ($141.1K – $211.7K base salary in the US), equity, and bonus opportunities. Zapier provides a flexible remote work environment and values diversity, inclusion, and equity in their hiring practices. The position impacts multiple business areas, requiring someone who can quickly adapt to various domains while maintaining high-quality standards in data architecture and modeling.

Join Zapier to be part of a team that's revolutionizing how businesses work through automation and AI. You'll have the opportunity to shape the future of data architecture while working with a global team of talented professionals who believe in making computers do more work for humans.