Staff Data Engineer – Data Modeling

Our Data team consists of highly skilled senior software and data professionals who collaborate to solve complex data challenges. We process billions of records daily from multiple sources using multi-stage pipelines with intricate data structures and advanced queries. We are responsible for building data pipelines end to end—from raw data ingestion to the creation of actionable datasets—following the bronze, silver, and gold paradigm. This includes business logic, infrastructure, ETLs, optimization, and ongoing maintenance. The data we deliver drives insights and decision-making across the organization and enhances our product offerings. We leverage technologies such as AWS, Snowflake, Iceberg, Airflow, Spark, and more. What You’ll Do Lead the translation of business and product requirements into scalable data models, transformations, and pipelines. Design and own datasets across bronze, silver, and gold layers, including defining grain, aggregations, and data contracts. Develop and maintain SQL-heavy data pipelines and Airflow DAGs (workflow logic, dependencies, backfills, python, and lots of SQL). Own data correctness for key business metrics (e.g., ARR), including deep root cau