Python and Spark data engineering work awaits at Robinhood in Toronto, supporting scalable pipelines and shared product datasets. This office-based role emphasizes robust SQL and analytical problem solving.

Robinhood is hiring engineering talent to build high-quality data solutions across product areas. You will shape datasets, create data models, and apply Airflow, Python, Spark, and open source frameworks. The work supports actionable insights and data consumption across the company.

Build scalable pipelines with Python, Spark, and Airflow

Partner with upstream teams on data generation patterns

Design intuitive models for data consumers

Promote data engineering standards and best practices

Four-plus years and bachelor’s degree, or two-plus years and master’s degree

Expertise with data pipelines and open source frameworks

Programming expertise, ideally in Python

Strong SQL skills, including Presto or Spark SQL

Apply data modeling, Python, Spark, Airflow, and SQL expertise to build Robinhood’s scalable financial data foundation. #

📌 Senior Data Engineer Python Spark (Toronto)
🏢 Coinsquare
📍 Toronto