Build foundational datasets at Robinhood in Toronto using Python, Spark, and Airflow. Shape reliable data products for analytics and decision-making. As a Senior Data Engineer, you will build and maintain datasets spanning Robinhood product areas. Your work supports analytics, experimentation, machine learning, and company metrics. You will collaborate with engineers, data scientists, and business teams while developing high-quality data solutions for evolving use cases. Key Responsibilities:
Define and build datasets across Robinhood product areas Lead dataset evolution as use cases grow Build scalable Python, Spark, and Airflow pipelines Move application data into the data lake Promote engineering standards and best practices companywide Requirements:
Computer science or another relevant field of study Four-plus years with a bachelor’s degree, or two-plus with master’s Experience building high-quality data solutions Expertise in one or more programming languages, ideally Python Strong analytical, problem-solving, and communication skills Apply data engineering expertise in Python, Spark, and Airflow to advance reliable, actionable decisions at Robinhood.
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Senior Data Engineer Toronto employer: Robinhood
At Robinhood, we are committed to fostering a dynamic and inclusive work environment where innovation thrives. As a Knowledge & Operational Readiness Lead in our Denver, CO or Westlake, TX office, you will enjoy a performance-driven culture that rewards bold thinkers with competitive compensation, comprehensive benefits, and ample opportunities for professional growth. Our intentional office experience, designed to support high-performing teams, ensures that you can collaborate effectively while making a meaningful impact in the evolving landscape of finance.
