As a Senior Data Engineer at Robinhood, you will be part of a high-performing team focused on building and maintaining foundational datasets that drive decision-making across the company. Your role will involve designing scalable data pipelines and collaborating with various teams to ensure data quality and reliability. This position emphasizes the importance of in-person work to foster innovation and community. You will have the opportunity to shape the technical foundation that supports data-informed decisions across the organization.

• 5+ years of professional experience building end-to-end data pipelines.
• Hands-on software engineering experience with the ability to write production-level code in Python.
• Expertise in building and maintaining large-scale data pipelines using open source frameworks such as Spark and Flink.
• Strong SQL skills, including experience with Presto and Spark SQL.
• Experience solving problems across the data stack, including Data Infrastructure, Analytics, and Visualization platforms.
• Excellent collaboration skills to democratize data through actionable insights and solutions.

• Help define and build key datasets across all Robinhood product areas.
• Lead the evolution of datasets as use cases grow.
• Build scalable data pipelines using Python, Spark, and Airflow.
• Partner with upstream engineering teams to enhance data generation patterns.
• Collaborate with data consumers to understand consumption patterns and design intuitive data models.
• Contribute to shared data engineering tooling and standards.
• Define and promote data engineering best practices across the company.