Python Spark Data Engineer

Use Python, Spark, and Airflow to create scalable pipelines for Robinhood’s data lake. Work in Toronto on foundational financial datasets.This Senior Data Engineer role focuses on reliable data infrastructure supporting Robinhood’s metrics and products. You will develop application events, database snapshots, and derived datasets for analytics, experimentation, and machine learning. Collaboration spans upstream engineers, data consumers, scientists, and business teams.Key Responsibilities:
Build scalable pipelines with Python, Spark, and AirflowMove data from applications into the data lakeEnhance data generation patterns with engineering teamsDesign intuitive models around consumption patternsContribute to shared tooling and engineering standardsRequirements:
Four-plus years and a bachelor’s degree, or two-plus and master’sComputer science or relevant educational backgroundHigh-quality data solution development experienceFamiliarity with Looker, Tableau, or similar visualization toolsStrong analytical and problem-solving abilitiesBring Python pipeline development, Spark, Airflow, and data modeling skills to Robinhood’s Toronto engineering team.
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