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RobinhoodEngineering Manager, Data
Robinhood operates a financial platform with the mission to democratize finance for all, focusing on large-scale wealth transfers and global product expansion. The company is currently…
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About This Role
Robinhood operates a financial platform with the mission to democratize finance for all, focusing on large-scale wealth transfers and global product expansion. The company is currently hiring an Engineering Manager, Data for its Core Data Engineering team. This position is based in Toronto, Ontario, requiring five days per week of in-person attendance at the office. The role splits its focus between people management and hands-on technical work, with roughly sixty…
Job Description
Robinhood operates a financial platform with the mission to democratize finance for all, focusing on large-scale wealth transfers and global product expansion. The company is currently hiring an Engineering Manager, Data for its Core Data Engineering team.
This position is based in Toronto, Ontario, requiring five days per week of in-person attendance at the office. The role splits its focus between people management and hands-on technical work, with roughly sixty percent of time spent coaching a team of ten data engineers and forty percent dedicated to code reviews, architecture evaluations, and technical contributions.
The person in this position will establish execution plans, shape core data initiatives, and build internal developer tooling alongside semantic models to make company data more accessible. Collaboration will occur regularly with product, brokerage, crypto, marketing, data science, machine learning, and business operations departments.
The compensation package includes performance-driven incentives with equity ownership, bonus opportunities, a base pay range between $200,000 and $235,000 CAD, supplemental health and mental health support, a lifestyle wallet, and a commuter stipend.
Responsibilities
- Manage, mentor, and grow a team of ten data engineers located in Toronto
- Conduct code reviews, evaluate system architecture, and resolve daily technical hurdles
- Establish project roadmaps and translate ambiguous business needs into clear engineering targets
- Create developer tools, metadata systems, and semantic models to improve data usability for humans and AI
- Partner with machine learning, data science, and business operations groups to maintain scalable data pipelines
Requirements
- Three or more years of engineering management experience
- Five or more years of software or data engineering background
- Practical expertise using Python and Apache Spark
- Familiarity with cloud computing environments such as AWS
- Working knowledge of data technologies like Databricks, Delta Lake, Flink, Pinot, or Druid
- Ability to guide execution independently and clarify ambiguous project requirements
Core Skills
Benefits
- Base salary range of $200,000 to $235,000 CAD
- Performance-based compensation with bonus programs and equity ownership
- Supplemental health and ancillary insurance plans
- Mental health support programs
- Employer-paid lifestyle wallet for wellness, learning, childcare, and additional expenses
- Paid time off including holidays, sick days, volunteer time, and parental leave
- Monthly commuter stipend
- Catered meals and events at the Toronto office workspace
Frequently Asked Questions
What is the location and remote work policy for this role?
This position is based in the Toronto, ON office and requires in-person attendance five days per week.
What is the salary range for the Engineering Manager, Data position?
The expected base pay range for this Toronto-based role is $200,000 to $235,000 CAD, alongside bonus opportunities, equity, and benefits.
What are the primary background requirements?
Candidates must have at least three years of engineering management experience and five or more years as a software or data engineer, along with hands-on proficiency in Python and Apache Spark.
How is time divided between management and technical tasks?
Approximately sixty percent of the time is dedicated to coaching and leading the team, while forty percent involves hands-on technical duties like architecture and code reviews.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.