Help define and build key datasets across all Robinhood product areas.
Lead the evolution of these datasets as use cases grow.
Build scalable data pipelines using Python, Spark and Airflow to move data from different
Partner with upstream engineering teams to enhance data generation patterns.
Partner with data consumers across Robinhood to understand consumption patterns and design
Ideate and contribute to shared data engineering tooling and standards.

🎯 Requirements

CS background or any other relevant fields of study.
Strong product mindset.
4+ years of experience and a Bachelors degree or 2+ years and a Masters degree.
Experience building high-quality data solutions.
Strong analytical and problem solving skills.
Expertise building data pipelines using open source frameworks (Hadoop, Spark, etc).

🎁 Benefits

Bonus opportunities
Equity
Benefits

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