Senior Data Engineer
Join a leading fintech company that’s democratizing finance for all.
Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are 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.
With growth as the top priority...
The business is 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
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
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.
Please see the independent bias audit report covering our use of Covey here.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Click here to learn more about available Benefits, which vary by region and Robinhood entity.
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. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.
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By
Robinhood
Robinhood is a leading financial services company headquartered in Menlo Park, California. The company was founded in 2013 and currently has 23.9 million funded customers, 13.7 million monthly active users, and $130 billion in assets under custody.
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