Full-Stack Data Engineer: Build Scalable Pipelines & APIs

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, and CI/CD for all data workflows
Cross-functional Impact : Partner with Analysts, MLEs, and Software Engineers to deliver production da...