Ripple is a San Francisco-based provider of blockchain-based enterprise solutions for traditional and digital finance.
<div class="content-intro"><p><span style="font-weight: 400;">At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. </span></p> <p><span style="font-weight: 400;">If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.</span></p></div><p>GTreasury, now a Ripple solution, was acquired by Ripple in 2025, marking a significant expansion into the multi-trillion-dollar corporate finance arena.</p> <p>GTreasury has more than 40 years of experience supporting some of the world’s largest and most sophisticated companies. Integrating its treasury command center into Ripple’s technology stack gives corporates the ability to move, manage and optimize liquidity in real-time, across traditional and digital assets, under one expanded umbrella.</p> <p>Join us to build the future of corporate treasury and the infrastructure that powers the Internet of Value.</p> <p>We are seeking an innovative and forward-thinking Staff Data Scientist and Engineer passionate about building a world-class platform through a world-class team. Driving the technical direction the technology, the evolution of team, and the engineering excellence to make magic happen.</p> <p><span style="font-size: 14pt;"><strong>What You’ll Do:</strong></span></p> <ul> <li>Technical Leader Platform Data team to build a robust, scalable and resilient data platform serving all portfolio applications</li> <li>Collaborate with solution teams, product managers, and deliver robust cloud-based Data platform and solutions</li> <li>Make decisions on the solution and the design, architecture, and delivery of systems</li> <li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and evaluating technical design & code</li> <li>Active coach and mentor to your team and grow them in their skills</li> <li>Drive agile development and analytical methodologies every day</li> <li>Strive to continuously improve the operations, processes, methodologies, technology choices, and practices of the team</li> <li>Interact with your team, customers, and peers to share information and improve cross-department processes</li> <li>Strive for transparency and partnership between our engineers and our business partners</li> <li>Engage in concept discussions, and proposed technology solutions, to meet business objectives and influence such decisions</li> <li>Work with multi-functional project teams on solution architecture options for design</li> <li>Ensure all work meets quality, operational, and architectural standards needed for organizational success</li> <li>Participate in the team’s YBIYRI model (you-build-it-you-run-it), which includes participating in their on-call pager rotation.</li> </ul> <p><span style="font-size: 14pt;"><strong>Who You Are:</strong></span></p> <ul> <li>Leadership acumen, first and foremost</li> <li>Strong aptitude with software development lifecycle and engineering excellence processes, Agile methodologies, and the ability to project manage moderately sized projects</li> <li>Deep data engineering experience in complex distributed systems</li> <li>Strong technical acumen which allows you to be responsible for the technical domain</li> <li>Hands-on approach and ready to deep dive into code details with the team</li> <li>Strong communication, coordination and influencing skills</li> <li>Expert in automation with ETL process, data movement with data medallion architecture</li> <li>Deep knowledge and experience with languages/frameworks/tooling (Databricks, SQL, Python, PowerShell, C#/.NET, SQL Server, PostgreSQL, Data Lake/Lakehouse, Qlik, Zoho Analytics, Azure PaaS services)</li> <li>Expertise with Izenda, SSRS and AWS Data Services a bonus</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>For positions that will be based in IL, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. </p></div><div class="title">IL Annual Base Salary Range</div><div class="pay-range"><span>$196,000</span><span class="divider">—</span><span>$245,000 USD</span></div></div></div><div class="content-conclusion"><hr> <p><strong>WHO WE ARE:</strong></p> <p><span style="font-weight: 400;">Do Your Best Work</span></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">The opportunity to build in a fast-paced start-up environment with experienced industry leaders</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. <