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Senior Data Engineer
over 1 year ago | 965 views | 7 applications

Senior Data Engineer

Remote, United States
Per year
$146,000 To $220,000

About the company

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.

Job Summary

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 Senior Data Engineer 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.

What you’ll do day-to-day:

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. About you:

CS background or any other relevant fields of study. Strong product mindset and 5+ years of experience building high-quality data solutions. Strong analytical and problem solving skills. Expertise building data pipelines using open source frameworks (Hadoop, Spark, etc) Expertise in one or more programming languages (ideally Python). Strong SQL (Presto, Spark SQL, etc) skills. Familiarity with data visualization tools (Looker, Tableau, etc). Great communication skills and ability to democratize data through actionable insights and solutions. Bonus points:

Passion for working and learning in a fast-growing company.

This role is also eligible for an annual discretionary bonus and participation in Robinhood’s equity plan.

Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience. Please note, some of our roles are open to additional levels which would impact the expected base pay.

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.

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