Senior Data Engineer

About the team + role

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 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.

As a Senior Data Engineer, you will build datasets, pipelines, and develop software to ensure Robinhood can make strong data driven decisions. This position also will partner heavily with the Experimentation Platform team. If you have a passion surrounding data and experimentation, we would love to chat with you!

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What you’ll do

• 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.
• Code and develop tools for data engineering and standards.
• Define and promote data engineering best practices across the company

What you bring

• 5+ years of professional experience building end-to-end data pipelines
• Proven ability to implement software engineering-caliber code (preferably Python)
• Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
• Strong SQL (Presto, Spark SQL, etc) skills.
• Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
• Expert collaborator with the ability to democratize data through actionable insights and solutions.
• Experience building data engineering tools and pipelines for Experimentation and A/B Testing is a strong plus.

What we offer

• Market competitive and pay equity-focused compensation structure
• 100% paid health insurance for employees with 90% coverage for dependents
• Annual lifestyle wallet for personal wellness, learning and development, and more!
• Lifetime maximum benefit for family forming and fertility benefits
• Dedicated mental health support for employees and eligible dependents
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

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