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
Solid 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 (Canada)
🏢 Robinhood
📍 Canada