Software Developer, Robinhood
Data Engineering
CA$124-145k
Plus bonus opportunities + equity
Commission-free stock trading & investing app
Job no longer available
Commission-free stock trading & investing app
1001+ employees
Job no longer available
CA$124-145k
Plus bonus opportunities + equity
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- 3+ years of professional experience building end-to-end data pipelines
- Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
- Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
- Strong SQL (Presto, Spark SQL, etc) skills
- Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
- Expert collaborator with the ability to democratize data through actionable insights and solutions
What the job involves
- With a strong and growing engineering hub in Toronto, our teams in Canada are essential to building exceptional financial products and supporting our mission to democratize finance for all
- Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations
- We are looking for a Software Engineer, Data Engineering to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood
- These datasets include application events, database snapshots, and the derived datasets that describe and track Robinhood's key metrics across all products
- You’ll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases
- We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come
- 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
Our take
For years, traditional brokers ruled the share trading realm, charging hefty fees that locked out everyday investors. Robinhood emerged as a disruptor, offering commission-free trading and opening the door to a new generation. Since then, expectations have continued to evolve, with investors looking not just to lower costs, but for simpler tools, clearer information, and guidance that makes the market easier to understand.
Robinhood was built to meet those changing expectations, designed from the start as a mobile-first platform that makes investor more accessible and less intimidating for people at every stage of their financial journey. Through its app, users can trade stocks and other financial instruments while benefiting from a clean interface and built-in educational support, helping them move from curiosity to confidence without unnecessary complexity.
Recently, Robinhood has strenghtned its impact too, particularly in the UK. With the launch of AI-powered Digests within its Robinhood Cortex assistant that helps users understand what's driving stock movements in plain English, while upcoming options trading and expanded educational resources add flexibility and depth. Together, these steps position Robinhood as a platform evolving alongside its users, blending technology and education to stay ahead in an ever-changing investment landscape.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 13 rounds)
Feb 2021
$2.4bn
CONVERTIBLE
Jan 2021
$1bn
LATE VC
Total funding: $5.6bn
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Vlad Tenev
(Co-Founder, CEO & Chairman)Studied Mathematics at Stanford University, where they met Baiju. Dropped out of a PhD to start Robinhood. Alongside Robinhood, Vlad is also the co-founder and Executive Chairman of Harmonic.
Baiju B.
(Co-Founder)Studied Mathematics and Physics at Stanford University, where they met their Vlad and co-founded Robinhood in 2012. Baiju is also the Founder and CEO of Aetherflux.
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