Staff Data Engineer

📋 Description

• Build, maintain, and scale data pipelines into the data warehouse.
• Partner with internal stakeholders to understand analysis needs.
• Collaborate with upstream engineering to improve data logging patterns.
• Participate in architectural decisions for scalable data systems.
• Adopt and evangelize data engineering best practices for processing and modeling.
• Advise engineers on how to use data tools.

🎯 Requirements

• Have 7+ years experience building large-scale data platforms.
• Experience in Data Engineering or Analytics Engineering, building scalable data warehouses.
• Proficient with dimensional modeling (Star Schema, Kimball, Inmon) and data architecture.
• Advanced SQL skills (window functions, UDFs).
• Experienced with Python, Spark for building and maintaining data pipelines & ETL/ELT.
• Experience with dbt and Snowflake, BigQuery, Redshift or other data warehouses.

🎁 Benefits

• Competitive salary and stock option incentive program
• Company paid healthcare
• Flexible work arrangements
• Company sponsored team-lunches and company retreats
• International organization that enables you to work across boundaries, travel to different locations, and enjoy the dynamics of a rapidly growing startup
• A diverse and inclusive team