Build foundational datasets with Python and Spark as a Senior Data Engineer at Robinhood in Toronto’s in-office workplace. Power analytics, experimentation, and machine learning use cases. Robinhood is hiring a Senior Data Engineer to develop reliable data foundations across product areas. You will maintain application events, database snapshots, and derived metric datasets. The work involves Airflow, scalable pipelines, SQL, and intuitive data models for data consumers. Key Responsibilities:

Define and build datasets across Robinhood product areas Lead dataset evolution as use cases grow Build Python, Spark, and Airflow data pipelines Partner with upstream engineers on data generation Contribute to data engineering tooling and standards Requirements:

Computer science or relevant educational background Four-plus years and bachelor’s degree, or two-plus years and master’s degree Experience building high-quality data solutions Expertise with open source data frameworks Strong Python and SQL skills Use data engineering, analytical problem solving, and communication skills to support reliable decisions at Robinhood.

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