Robinhood is hiring a Software Developer Data Engineering in Toronto!
Robinhood is expanding its Toronto engineering team and is looking for a senior data engineering specialist to help build the foundational data assets behind company-wide decision-making. The role sits close to product, analytics, experimentation, and machine-learning work, with responsibility for making core datasets reliable, scalable, and easy for others to use. This is an in-office position in Toronto, and the company describes a fast-moving, metrics-driven environment where data quality directly supports growth strategy, product optimization, and daily operations.
Key responsibilities
- Design, build, and evolve key datasets covering Robinhood's product areas, including application events, database snapshots, and derived metrics.
- Create scalable pipelines that bring data from multiple applications into the data lake using Python, Spark, and Airflow.
- Work with upstream engineering teams to improve how data is generated and captured.
- Collaborate with data consumers to understand usage patterns and design intuitive, practical data models.
- Contribute to shared data engineering tooling, standards, and best practices across the company.
- Support analytics, experimentation, and machine-learning use cases with dependable data foundations.
Key requirements
- A background in computer science or a related field, plus either four or more years of experience with a bachelor's degree or two or more years with a master's degree.
- Experience delivering high-quality data solutions and strong analytical problem-solving skills.
- Hands-on expertise with open-source data pipeline frameworks such as Hadoop or Spark.
- Proficiency in one or more programming languages, ideally Python.
- Strong SQL skills, including tools such as Presto or Spark SQL.
- Familiarity with visualization tools such as Looker or Tableau.
- Clear communication skills and a product-minded approach to making data useful and accessible.
- Seniority: Senior
- Work mode: In-office
- Salary: $166,000 - $195,000 CAD
- Key skills: Python, Spark, Airflow, Hadoop, SQL, Presto, Spark SQL, Looker, Tableau, Data pipelines, Data modeling
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