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 areasLead dataset evolution as use cases growBuild scalable Python, Spark, and Airflow pipelinesMove application data into the data lakePromote engineering standards and best practices companywideRequirements:
Computer science or another relevant field of studyFour-plus years with a bachelor’s degree, or two-plus with master’sExperience building high-quality data solutionsExpertise in one or more programming languages, ideally PythonStrong analytical, problem-solving, and communication skillsApply data engineering expertise in Python, Spark, and Airflow to advance reliable, actionable decisions at Robinhood.
#J-18808-Ljbffr

📌 Senior Data Engineer Toronto (Winnipeg)
🏢 Robinhood
📍 Winnipeg