Data Engineer Lead

We're a leading fintech company that's changing the game in the financial industry. Our goal is to make financial markets accessible to everyone, regardless of their background or socioeconomic status. We believe in a world where everyone has equal access to opportunities and resources.

We're a metrics-driven company, and data is at the heart of all our key decisions. From growth strategy to product optimization, data plays a crucial role in shaping our future. As a Senior Data Engineer, you'll be part of a fast-paced team that's laying the foundation for reliable, impactful data-driven decisions across the company.

As a member of our team, you'll have the opportunity to work on cutting-edge projects that drive innovation and growth. You'll collaborate with experts from various fields, including engineering, data science, and business, to deliver high-quality solutions that meet our customers' needs. Your contributions will have a direct impact on our products and services, enabling us to better serve our users and stay ahead of the competition.

We're committed to fostering a culture of collaboration, creativity, and continuous learning. Our team is passionate about delivering exceptional results, and we're always looking for talented individuals who share our vision and values. If you're a motivated and driven professional who is passionate about data engineering, we encourage you to apply for this exciting opportunity.

**Key Responsibilities:**
- 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
- Collaborate 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

**Requirements:**
- 5 years of professional experience building end-to-end data pipelines
- Proven ability to implement software engineering-caliber code (preferably Python)
- Expertise in building and maintaining large-scale data pipelines using open-source frameworks (Spark, Flink, etc.)
- Strong SQL skills (Presto, Spark SQL, etc.)
- 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

**Benefits:**
- Market-competitive compensation structure with pay equity focus
- 100% paid health insurance for employees with 90% coverage for dependents
- Annual lifestyle wallet for personal wellness, learning, and development
- 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

**Career Growth:**
We're looking for growth-minded and collaborative individuals to join our journey in democratizing finance. If you're ready to give 100% in helping us achieve our mission, we'd love to have you apply. At Robinhood, we believe in creating a workplace that represents a variety of backgrounds, perspectives, and skills. We're dedicated to building an inclusive environment where everyone can thrive.