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.
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
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.
If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
As a Staff Software Engineer on the Data Engineering team, you set the technical direction for the Caspian Data Platform — Ripple's centralized lakehouse powering analytics, financial reporting, product intelligence, and data-driven operations across every business unit. You own the architecture for ingestion, transformation, governance, and data quality across the platform, and you stay deep in the code while you, do it. You are the bar raiser for the team: the engineer who sets the standard for how data is built at Ripple, and the others learn from by working alongside you.
What you'll do- Lead the design of the core pillars of the platform — ingestion, transformation, governance, and data quality — and build the most critical components yourself.
- Define the engineering patterns and reference architectures for Databricks pipelines, and stay hands-on shipping production flows, writing the reference implementations, and prototyping the hard parts before the team scales them.
- Establish the benchmark for data quality and governance — expectations, data contracts, lineage, validation frameworks — and hold the team to it through building and code review.
- Lead the most complex, ambiguous initiatives that span multiple quarters and teams, from problem statement to delivered capability.
- Lead the technical direction for applying AI across data engineering. This includes agentic systems for pipeline operations, automated transformation generation, and self-serve analytics interfaces. Develop the first versions yourself.
- Act as the quality standard bearer: raise code quality, build rigor, and engineering judgment across the team, and mentor senior engineers into greater ownership.
- 10+ years of data engineering experience, with a strong track record of architecting and operating data platforms at scale — while remaining deeply hands-on.
- Deep mastery of Databricks — Delta Live Tables, Unity Catalog, Delta Lake, and Spark — with the judgment to make platform-level decisions and the skill to implement them.
- Demonstrated ownership of ingestion, transformation, governance, and data quality across a production platform.
- Expert in SQL and Python, applied to complex data modeling, transformation, and platform tooling.
- Strong AWS experience operating data systems at scale.
- A history of being the technical bar raiser — setting standards and patterns that other engineers build on, and lifting the quality of everyone around you.
- Experience driving AI tooling into data engineering workflows — building agentic systems, integrating LLMs into developer workflows, or enabling conversational analytics.
- The ability to influence through technical credibility and translate tradeoffs for both engineers and leadership.
WHO WE ARE:
Do Your Best Work
- The opportunity to build in a fast-paced start-up environment with experienced industry leaders
- 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.
- 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.
- 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.
- Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
- We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!
Take Control of Your Finances
- Competitive salary, bonuses, and equity
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
Take Care of Yourself
- R&R days so you can rest and recharge
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy - work with your manager to take time off when you need it
- Industry-leading parental leave policies. Family planning benefits.
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees.
Skills Required
- 10+ years of data engineering experience, architecting and operating data platforms at scale
- Deep mastery of Databricks including Delta Live Tables, Unity Catalog, Delta Lake, and Spark
- Demonstrated ownership of ingestion, transformation, governance, and data quality across production platforms
- Expert SQL and Python skills for complex data modeling, transformation, and platform tooling
- Strong AWS experience operating data systems at scale
- Proven history as a technical bar raiser who sets standards and patterns
- Experience driving AI tooling into data engineering workflows (agentic systems, integrating LLMs, conversational analytics)
- Ability to influence through technical credibility and translate tradeoffs to engineers and leadership
Ripple Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ripple and has not been reviewed or approved by Ripple.
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Healthcare Strength — Comprehensive coverage, including employer-paid medical, dental, and vision from day one, is emphasized alongside wellbeing resources and stipends. This indicates strong foundational healthcare support as part of total rewards.
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Parental & Family Support — Paid parental leave of substantial duration and inclusive family-forming benefits (via fertility support) are highlighted. These offerings signal robust backing for diverse paths to parenthood.
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Leave & Time Off Breadth — Flexible or unlimited PTO paired with additional company-wide recharge days points to ample time-off provisions. Public materials also reference generous closures that facilitate periodic rest.
Ripple Insights
What We Do
Ripple provides one frictionless experience to send money globally using the power of blockchain technology. By joining Ripple’s growing global network, financial institutions can process their customers’ payments anywhere in the world instantly, reliably and cost-effectively. Banks and payment providers can use the digital asset XRP to further reduce their costs and access new markets. Founded in 2012, Ripple's vision is to enable a world where value moves as seamlessly as information flows today—an Internet of Value. Ripple is the only enterprise blockchain company today with products in commercial use. Ripple’s global payments network includes over 300 customers across 40+ countries and six continents.
