Software Engineer at Robinhood

About The Company

Robinhood is a pioneering financial technology company dedicated to democratizing finance for all. With a mission to make financial services accessible, transparent, and affordable, Robinhood has revolutionized the way individuals invest and manage their finances. Our innovative platform empowers users to trade stocks, ETFs, options, and cryptocurrencies with zero commission, fostering financial inclusion and literacy. As part of our commitment to building the future of finance, we leverage cutting-edge technology and data-driven strategies to deliver exceptional user experiences. Our team comprises passionate professionals who are driven by the vision of transforming the financial landscape and enabling everyone to participate in wealth creation.

About The Role

We are seeking a highly skilled Software Engineer, Data Engineering, to join our dynamic engineering team based in Toronto. This role is integral to building and maintaining the foundational datasets that support decision-making, analytics, and machine learning initiatives across Robinhood. As a key contributor, you will collaborate closely with engineers, data scientists, and business stakeholders to develop scalable and reliable data pipelines, ensuring the integrity and accessibility of critical data assets. The ideal candidate will have a strong background in building end-to-end data solutions, a passion for data infrastructure, and the ability to operate effectively in a fast-paced, innovative environment. This position offers a unique opportunity to influence the company's data architecture and support our mission to democratize finance through impactful data-driven insights.

Qualifications

• 3+ years of professional experience in building end-to-end data pipelines
• Proficiency in Python for production-level software development
• Hands-on experience with open-source data frameworks such as Spark, Flink, or similar
• Strong SQL skills, including experience with Presto, Spark SQL, or equivalent
• Experience working across the data stack, including data infrastructure, analytics, and visualization platforms
• Ability to collaborate effectively with cross-functional teams and democratize data insights
• Knowledge of data generation patterns and upstream engineering processes
• Experience with designing scalable, efficient, and maintainable data pipelines
  
  

Responsibilities

• Define and develop key datasets across all Robinhood product areas, ensuring they evolve with emerging use cases
• Build and optimize scalable data pipelines using Python, Spark, and Airflow to transfer data into our data lake
• Collaborate with upstream engineering teams to enhance data generation and collection methods
• Partner with data consumers to understand their needs and design intuitive, accessible data models
• Contribute to the development and standardization of data engineering tools and best practices
• Promote a culture of data quality, reliability, and efficiency across the organization
• Maintain and improve existing data infrastructure to support analytics, experimentation, and machine learning
  
  

Benefits

• Competitive salary aligned with market standards
• Performance-based bonuses and equity options
• Comprehensive health, dental, and vision insurance plans
• Flexible work environment with in-office and remote work options
• Generous paid time off and holidays
• Professional development opportunities and continuous learning support
• Inclusive and collaborative company culture that values diversity
  
  

Equal Opportunity

Robinhood is an equal opportunity employer committed to fostering an inclusive environment for all employees and applicants. We celebrate diversity and are dedicated to providing reasonable accommodations to support candidates throughout the hiring process. We do not discriminate based on race, ethnicity, gender, age, disability, sexual orientation, gender identity, or any other protected status.