Data Warehouse Engineer

Zapier is seeking a Data Warehouse Engineer to join their Ecosystem Data team in shaping the future of automation. This role is crucial in providing reliable data models and actionable insights for the company's extensive integration network of over 7,000 apps.

As a Data Warehouse Engineer, you'll be responsible for developing and maintaining efficient data pipelines, ensuring data quality, and enabling self-service analytics across the organization. You'll work with tools like Airflow, Databricks, dbt, Looker, and Amplitude to transform raw data into analytics-ready datasets.

The ideal candidate brings 4+ years of experience in data engineering, strong SQL and Python skills, and a deep understanding of data modeling concepts. You'll collaborate with cross-functional teams, contribute to architectural decisions, and help shape the technical direction of the data infrastructure.

Zapier offers a competitive compensation package including base salary ($141.1K – $211.7K), equity, and bonus opportunities. As a 100% remote company, they provide flexibility in work location and emphasize written communication. The company values diversity, inclusion, and maintaining a positive work culture where everyone can thrive.

This role offers an exciting opportunity to impact how millions of businesses use automation, while working with cutting-edge tools and brilliant colleagues. You'll be instrumental in bridging the gap between raw data and actionable insights, enabling data-driven decision-making across the organization.