Finance Analytics Engineer

📋 Description

• Design and maintain data pipelines using Python and Airflow across sources.
• Be Redshift SME; optimize queries and ensure data integrity.
• Build and maintain data models providing a single source of truth for key metrics.
• Co-develop data quality checks with finance process owners for accuracy.
• Document pipelines, models, and business logic for maintainability.
• Collaborate with Finance to translate data needs into scalable solutions.

🎯 Requirements

• Bachelor's degree in CS, Engineering, or related quantitative field.
• 4+ years in data-focused role (engineering/BI/analytics).
• Proven experience building production data pipelines.
• Experience with finance or business operations teams delivering data solutions.
• SQL expertise and experience with a modern data warehouse, preferably Redshift.
• Strong Python programming skills.

🎁 Benefits

• Onsite office in San Mateo on Tue/Wed/Thu, with optional presence on Mon/Fri.
• Equity compensation and benefits for full-time employees.
• Equal employment opportunity employer with accommodations.