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.
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
Strong 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.