Tech Stack

Description

You will design, build, and evolve core datasets that track product performance and company-wide metrics at Robinhood. You'll develop scalable data pipelines using Python, Spark, and Airflow to ingest application events into the data lake, collaborate with engineering and analytics teams to improve data models, and shape the technical foundation for data-informed decisions across the organization.

Requirements

• 5+ years building end-to-end data pipelines
• Production-level Python code for user-facing systems
• Expert with Spark, Flink, and large-scale pipelines
• Strong SQL skills (Presto, Spark SQL)
• Experience across data stack: infrastructure, analytics, visualization

Responsibilities

• Define and build key datasets across product areas
• Build scalable data pipelines using Python, Spark, and Airflow
• Partner with upstream engineering to enhance data generation
• Design intuitive data models with data consumers
• Define and promote data engineering best practices