We're looking for a Full Stack Data Engineer to own our clientsdata platform end-to-end — from ingestion and pipelines to APIs and self-serve analytics. You'll work across the entire data lifecycle, collaborating with Product, Engineering, and Analytics to turn raw data into reliable, scalable products.

What You'll Do

• Build & Scale Pipelines: Design, build, and maintain robust ETL/ELT pipelines using Python, SQL, Spark, and Airflow
• Data Infrastructure: Architect and manage data warehouses/lakehouses on AWS/GCP/Azure — BigQuery, Redshift, Snowflake, or Databricks
• Full Stack Data Products: Develop APIs, data services, and internal tools that let teams access and use data easily
• Data Modeling: Design dimensional models and optimize queries for analytics and ML use cases
• Reliability: Implement data quality, observability, testing, a...