Python and Spark data engineering work awaits at Robinhood in Toronto, supporting scalable pipelines and shared product datasets. This office-based role emphasizes solid 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 areasBuild scalable pipelines with Python, Spark, and AirflowPartner with upstream teams on data generation patternsDesign intuitive models for data consumersPromote data engineering standards and best practicesRequirements: Four-plus years and bachelor’s degree, or two-plus years and master’s degreeExpertise with data pipelines and open source frameworksProgramming expertise, ideally in PythonStrong SQL skills, including Presto or Spark SQLStrong analytical, problem solving, and communication skillsApply data modeling, Python, Spark, Airflow, and SQL expertise to build Robinhood’s scalable financial data foundation.