### Who you are
- CS background or any other relevant field of study
- Strong product mindset
- 4+ years of experience with a bachelor’s degree, or 2+ years of experience with a master’s degree
- Experience building high-quality data solutions
- Strong analytical and problem-solving skills
- Expertise building data pipelines using open source frameworks (Hadoop, Spark, etc.)
- Expertise in one or more programming languages (ideally Python)
- Strong SQL (Presto, Spark SQL, etc.) skills
- Familiarity with data visualization tools (Looker, Tableau, etc.)
- Great communication skills and ability to democratize data through actionable insights and solutions
- Passion for working and learning in a fast-growing company ### What the job involves
- Robinhood is a metrics-driven company, and data is foundational to key decisions, from growth strategy to product optimization and day-to-day operations. As a Senior Data Engineer, you’ll build and maintain foundational datasets—including application events, database snapshots,



and derived datasets tracking key metrics across products—to power decision-making
- You’ll partner closely with engineers, data scientists, and business teams to support analytics, experimentation, and machine learning use cases. This is an prospect to help lay the foundation for reliable, impactful, data-driven decisions across the company
- 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 applications into our data lake
- Partner with upstream engineering teams to enhance data generation patterns
- Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
- Ideate and contribute to shared data engineering tooling and standards
- Define and promote data engineering best practices across the company

📌 Software Developer (Toronto)
🏢 Robinhood
📍 Toronto