Python and Spark data engineering work awaits at Robinhood in Toronto, supporting scalable pipelines and shared product datasets. This office-based role emphasizes strong 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. Key Responsibilities:
Define and build key datasets across Robinhood product areas 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 Requirements:
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 Solid SQL skills, including Presto or Spark SQL Strong analytical, problem solving, and communication skills Apply data modeling, Python, Spark, Airflow, and SQL expertise to build Robinhood’s scalable financial data foundation.