Company Culture

• High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
• Impact not job titles: Focus on the impact you have rather than job titles.
• AI first: Use AI to enhance speed and quality across the company.
• Excellence everywhere: Maintain high standards matching the quality of AI models.
• Global team: Prioritize talent over location.

What We Offer

• Learning & Development: Annual discretionary stipend for professional development.
• Social Travel: Annual discretionary stipend to meet colleagues.
• Annual Company Offsite: Gather the entire company at a new location each year.
• Co-working: Monthly co-working stipend for those not near main hubs.

About the Role

Job Title: Data Engineer
Department: Engineering & Product
Employment Type: Full-time

We're looking for an experienced Data Engineer to join our Core Platform team. You will formalize, optimize, and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams.

Responsibilities

• Own and streamline data pipelines from ingestion to delivery, ensuring reliability, scalability, and efficiency.
• Implement and maintain dbt best practices, data standards, and quality controls.
• Build self-service tooling and write clear documentation to empower cross-functional teams (Engineering, Revenue Operations, Growth, etc.) to independently meet their data needs.

Requirements

• Demonstrated experience formalizing and scaling data pipelines, ideally as one of the first or early data engineers on a growing team.
• Expert knowledge of dbt (required).
• Proficiency with tools across the modern data stack (Python, SQL, BI tools).
• Structured thinking; ability to simplify complex, messy data into clear structures.
• Strong ability to understand varied stakeholder requirements and build generalized solutions.