Tech Stack

Description

You will design and build scalable data pipelines and tooling using Python, Spark, and Airflow to power analytics, experimentation, and machine learning across Robinhood. You'll partner with engineers, data scientists, and business teams to develop intuitive data models and improve how data is generated and consumed, shaping the evolution of data systems as product and business needs grow.

Requirements

• 3+ years building end-to-end data pipelines
• Production-level Python code for applications or services
• Experience with large-scale data pipelines using Spark or Flink
• Proficient in SQL (Presto or Spark SQL)
• Ability to work across the data stack (infrastructure and analytics)

Responsibilities

• Build and maintain key datasets across product areas
• Develop scalable data pipelines using Python, Spark, and Airflow
• Work with upstream engineering teams to improve data generation and structure
• Partner with data users to design clear, usable data models
• Contribute to shared data engineering tooling and development standards