About Robinhood
Democratizing finance for the next generation
Key Highlights
- Over 23 million users benefiting from commission-free trading
- Headquartered in Menlo Park, CA with 1001+ employees
- $5.6 billion raised from investors including Sequoia and Andreessen Horowitz
- Launched 'Robinhood Retirement' for gig-economy workers
Robinhood, headquartered in Menlo Park, CA, is a fintech company that revolutionized stock trading by offering commission-free trading to over 23 million users. With a total funding of $5.6 billion, Robinhood has become a key player in the trading marketplace, attracting a younger demographic intere...
🎁 Benefits
Robinhood offers premium medical, dental, and vision insurance, along with parental leave and personal prosperity benefits. Employees enjoy catered me...
🌟 Culture
Robinhood's culture is centered around accessibility and innovation, aiming to meet the financial needs of the next generation. The company encourages...
Skills & Technologies
Overview
Robinhood is hiring a Data Engineer to build and maintain foundational datasets that power decision-making across the company. You'll work with SQL, Python, and AWS to support analytics and machine learning initiatives. This role requires experience in data engineering and a collaborative mindset.
Job Description
Who you are
You have a strong background in data engineering, with experience in building and maintaining datasets that drive business decisions. You are proficient in SQL and Python, and you understand how to leverage cloud technologies like AWS to optimize data workflows. You have a collaborative spirit, working closely with engineers, data scientists, and business teams to ensure data is accessible and actionable.
You are familiar with data processing frameworks such as Apache Spark, and you have experience with relational databases like PostgreSQL. You understand the importance of data quality and are committed to implementing best practices in data management. You thrive in a fast-paced environment and are eager to contribute to a mission-driven company.
Desirable
Experience with machine learning frameworks and tools is a plus, as you may collaborate on projects that involve analytics and experimentation. Familiarity with data visualization tools can also enhance your contributions to the team.
What you'll do
In this role, you will be responsible for building and maintaining the foundational datasets that support Robinhood's analytics and decision-making processes. You will work on application events and database snapshots, ensuring that the data is reliable and efficiently structured. Your work will directly impact how the company approaches growth strategy and product optimization.
You will collaborate with cross-functional teams, including engineers and data scientists, to power various analytics and machine learning use cases. This will involve designing data pipelines, optimizing data storage solutions, and ensuring that data is easily accessible for analysis. You will also participate in discussions about data governance and best practices, helping to shape the data culture at Robinhood.
As part of a growing engineering hub in Toronto, you will have the opportunity to influence the direction of data initiatives and contribute to the overall mission of democratizing finance. You will be part of a team that values innovation and is committed to making a meaningful impact in the financial industry.
What we offer
At Robinhood, we offer a collaborative work environment where your contributions are valued. You will have the chance to work on exciting projects that are at the forefront of the financial technology landscape. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in building the future of finance and making a difference in the lives of our users.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Robinhood.
Similar Jobs You Might Like
Based on your interests and this role
Data Engineer
Lyft is hiring a Data Engineer to develop robust data infrastructure and scalable data pipelines. You'll work with technologies like AWS, Kubernetes, and Apache Airflow to support data processing and analytics needs. This role is essential for making data-driven decisions at Lyft.
Data Engineer
Lyft is hiring a Senior Data Engineer to build scalable data solutions for their Urban Solutions business. You'll work with data transport, collection, and storage technologies. This role requires expertise in data pipelines and data quality management.
Data Engineer
Cohere is hiring a Member of Technical Staff specializing in Data Engineering to develop data pipelines for advanced language models. You'll work with technologies like Airflow and Apache Spark, focusing on data ingestion and optimization. This role requires experience in data management and engineering.
Data Engineer
Spotify is seeking a Mid-Level Data Engineer to join their Finance Engineering organization. You'll build and operate data systems for financial forecasting and performance analysis, utilizing skills in Python, SQL, and machine learning.
Software Engineering
Lyft is seeking a Software Engineer to join their Streaming Compute Team, focusing on designing and maintaining data-intensive systems. You'll work with technologies like Apache Flink and Kafka to enhance the data platform. This role requires a strong background in software development and problem-solving skills.