Use Python, Spark, and Airflow to create scalable pipelines for Robinhood’s data lake. Work in Toronto on foundational financial datasets.

This Senior Data Engineer role focuses on reliable data infrastructure supporting Robinhood’s metrics and products. You will develop application events, database snapshots, and derived datasets for analytics, experimentation, and machine learning. Collaboration spans upstream engineers, data consumers, scientists, and business teams.

Key Responsibilities:

- Build scalable pipelines with Python, Spark, and Airflow
- Move data from applications into the data lake
- Enhance data generation patterns with engineering teams
- Design intuitive models around consumption patterns
- Contribute to shared tooling and engineering standards

Requirements:

- Four-plus years and a bachelor’s degree, or two-plus and master’s
- Computer science or relevant educational background
- High-quality data solution development experience
- Familiarity with Looker, Tableau, or similar visualization tools
- Robust analytical and problem-solving abilities

Bring Python pipeline development, Spark, Airflow, and data modeling skills to Robinhood’s Toronto engineering team.

📌 Python Spark Data Engineer (Toronto)
🏢 Robinhood
📍 Toronto