We’re looking for talented and motivated Data Engineers to collect and process data across our business to aid in Robinhood’s mission to democratize access to financial markets for everyone.
Data engineers are the central node to every team within Robinhood. As a Data Engineer, you’ll be interfacing with UX researchers to gain insight, Ops engineers to ensure successful deployments, and Data Scientists to advance our product utilizing machine intelligence.
Every decision made at Robinhood is backed by data; our company trajectory is defined by the systems, tools, and analytics powered by our exceptional team. We integrate multifaceted data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to perfect our processes and workflows. Improving these systems and maintaining scalability across a growing user base (1 million and counting) is thrilling, particularly on a team of 3.
As a Data Engineer you'll:
Productionize machine learning algorithms, augment data scientists to make the Robinhood products smarter
Build robust distributed systems to process large scale data streams into useful applications
Engineer fast, real-time data pipelines to process data from across the financial markets and our internal event streams
Implement risk monitoring systems to improve tracking and mitigation of several risks including money laundering, financial fraud and margin exposure
Work closely with data scientists and collaborate with back-end, front-end engineers to build products for gathering timely insights about customer behavior, etc
Create monitoring systems to track of the quality of data and the health of our systems