Data Engineer

📋 Description

• Own and streamline data pipelines from ingestion to delivery.
• Implement and maintain dbt best practices and data quality controls.
• Build self-service tooling and documentation for cross-functional data needs.
• Create AI agents to answer data questions for others.

🎯 Requirements

• Demonstrated experience building and scaling data pipelines as an early data engineer.
• Expert knowledge of dbt.
• Proficiency with Python, SQL, and BI tools.
• Structured thinking: simplify messy data into clear structures.
• Strong ability to understand stakeholder requirements and build generalized solutions.

🎁 Benefits

• Innovative culture with opportunities to define the trajectory of AI.
• Growth paths: opportunities to drive impact beyond your role.
• Learning & development: discretionary stipend for growth.
• Social travel: annual discretionary stipend to meet colleagues.
• Annual company offsite: team gatherings in different locations.
• Co-working: monthly stipend if you’re not near hubs.