Staff Software Developer - Data Lake Ingestion

Join a leading fintech company that’s democratizing finance for all.

Robinhood was founded on a simple idea : that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information.

Together, we are building products and services that help create a financial system everyone can participate in.

As we continue to build...

We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future.

If you’re invigorated by our mission, values, and drive to change the world we’d love to have you apply.

About the team + role

Our team's mission at Robinhood is to empower informed decision-making, foster innovation, and drive organizational excellence through a reliable, timely, efficient, and privacy-aware Data Lake Infrastructure.

As a Staff Software Developer, you will lead the development of data ingestion pipelines that process petabytes of data and billions of events daily.

This role is highly cross-functional, requiring you to collaborate closely with Data Science, Data Engineering, and Product teams to understand customer requirements, and with Data Platform and Storage teams to develop integrated solutions.

We extensively utilize open-source frameworks as the foundation for our platforms.

What you’ll do

• Partner to influence and shape the vision, strategy, and adoption of current and future technologies.
• Design, build, and maintain efficient and reliable batch and streaming data pipelines that drive key data insights across the Robinhood family of products.
• Lead initiatives to improve data quality, efficiency, and privacy at scale.
• Forge trusting cross-functional partnerships with data producers and consumers across Robinhood to ensure our solutions meet their needs.
• Establish best practices and standards for data operations and lifecycle management.
• Mentor developers at Robinhood, both formally and informally.

What you bring

• 6+ years of experience as a proven staff engineer with expertise in planning and leading large projects, specifically focused on data infrastructure.
• Proficiency in a comprehensive range of data engineering disciplines, including data and stream processing technologies (e.

g., Spark, Flink, Kafka, Hudi), data serialization formats (e.g., Avro, Protobuf), workflow orchestration tools (e.g., Airflow), and Data Stores (e.

g., Postgres, ClickHouse, Redis).

• Strong coding skills in Python, Java, Go or similar languages.
• Experience with at least one major cloud suite of offerings (AWS, GCP, Azure).
• Proven experience in contributing to open-source technologies such as Spark, Hudi, Flink, Kafka etc.

Our team is here to enable an inclusive and welcoming interview experience for all candidates. If you need additional assistance throughout the interview process related to a physical or mental condition, or if there is something our team can do to enable a more accessible experience at any time, please notify our team by completing this .

Click to learn more about Robinhood’s Benefits.

We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all.

If you’re ready to give 100% in helping us achieve our mission we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting.

At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees.

We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone.

Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights.

To review please review the specific policy applicable to the country where you are applying.