R
Robinhood
Engineering Manager (Data)
Skills
Data EngineeringPythonProduct ManagementData ScienceDatabricksMachine LearningAWS
22 days ago
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Important information
Contract type:
Permanent
Location:
Toronto, ON, Canada
Work mode:
Onsite
Published on:
28 September 2026
What they need
- Lead, coach, and expand an exceptional team of 10 data engineers based in Toronto, setting a high standard for execution and team growth
- Actively participate in technical execution, including code reviews and architecture, assessing data quality, and unblocking daily technical challenges
- Define roadmaps and execution plans for core data engineering initiatives, effectively taking on a product management focus to translate ambiguous requirements into clear engineering goals
- Build a platform that makes Robinhood’s data discoverable, understandable, and usable for both people and AI - through semantic models, metadata, and developer tooling that turn trusted data into a reusable, company-wide asset
- Partner with Data Science, ML, and Business Operations teams to build and maintain reliable, scalable data pipelines and foundational datasets that support product expansion and business operations- Strong hands-on experience with Python and Apache Spark, along with familiarity with cloud platforms like AWS and data technologies such as Databricks, Delta Lake, Flink, or Pinot/Druid
- 3+ years of experience as an engineering manager, with 5+ years of prior experience as a software engineer or data engineer
- Proven ability to drive clarity in ambiguous situations, take ownership of project planning, and guide engineering execution without relying on dedicated project managers
- Demonstrated track record of building and maintaining reliable, large-scale data pipelines and foundational datasets
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