About the team + role

Our team’s mission at Robinhood is to empower informed decision-making, foster innovation, and drive organizational excellence through a reliable, timely, efficient, and privacy-aware Data Lake Infrastructure.

As a Staff Software Developer, you will lead the development of data ingestion pipelines that process petabytes of data and billions of events daily. This role is highly cross-functional, requiring you to collaborate closely with Data Science, Data Engineering, and Product teams to understand customer requirements, and with Data Platform and Storage teams to develop integrated solutions. We extensively utilize open-source frameworks as the foundation for our platforms.

What you’ll do

• Partner to influence and shape the vision, strategy, and adoption of current and future technologies.
• Design, build, and maintain efficient and reliable batch and streaming data pipelines that drive key data insights across the Robinhood family of products.
• Lead initiatives to improve data quality, efficiency, and privacy at scale.
• Forge trusting cross-functional partnerships with data producers and consumers across Robinhood to ensure our solutions meet their needs.
• Establish best practices and standards for data operations and lifecycle management.
• Mentor developers at Robinhood, both formally and informally.

What you bring

• 6+ years of experience as a proven staff engineer with expertise in planning and leading large projects, specifically focused on data infrastructure.
• Proficiency in a comprehensive range of data engineering disciplines, including data and stream processing technologies (e.g., Spark, Flink, Kafka, Hudi), data serialization formats (e.g., Avro, Protobuf), workflow orchestration tools (e.g., Airflow), and Data Stores (e.g., Postgres, ClickHouse, Redis).
• Strong coding skills in Python, Java, Go or similar languages.
• Experience with at least one major cloud suite of offerings (AWS, GCP, Azure).
• Proven experience in contributing to open-source technologies such as Spark, Hudi, Flink, Kafka etc.

Our team is here to enable an inclusive and welcoming interview experience for all candidates. If you need additional assistance throughout the interview process related to a physical or mental condition, or if there is something our team can do to enable a more accessible experience at any time, please notify our team by completing this Applicant Accommodation Form.