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