Staff Software Engineer, Data Engineering
Ripple provides payments, custody and stablecoin solutions that help financial institutions integrate blockchain and digital assets.
Funding history
Investors
Projects
About Ripple
Ripple helps financial institutions transform global payments by providing blockchain-powered infrastructure for cross-border payments, digital asset custody, and stablecoin solutions. With it, users can enable instant settlements, reduce costs, and access new markets. The company was originally founded as OpenCoin in 2012 and rebranded to Ripple in 2015.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
As a Staff Software Engineer on Ripple's Data Engineering team, you will own the architecture of the Caspian centralized lakehouse platform, remain hands-on in production engineering, establish technical and quality standards, and mentor senior engineers.
Requirements
- 10+ years of data engineering experience architecting and operating data platforms at scale.
- Deep mastery of Databricks, Delta Live Tables, Unity Catalog, Delta Lake, and Spark.
- Experience owning ingestion, transformation, governance, and data quality for production platforms.
- Expert SQL and Python skills for data modeling, transformation, and platform tooling.
- Strong AWS experience operating data systems at scale.
- History of setting technical standards and raising engineering quality.
- Experience applying AI tooling, agentic systems, LLMs, or conversational analytics to data engineering.
- Ability to influence engineers and leadership through technical credibility.
Responsibilities
- Lead design of ingestion, transformation, governance, and data quality platform pillars.
- Define Databricks pipeline patterns and reference architectures.
- Ship production data flows, reference implementations, and prototypes.
- Establish data quality and governance standards, including contracts, lineage, and validation frameworks.
- Lead complex initiatives spanning multiple quarters and teams.
- Direct AI applications across data engineering, including agentic systems and automated transformation generation.
- Raise code quality and engineering rigor through implementation and code review.
- Mentor senior engineers into greater ownership.
Benefits
- Professional development budget
- Flexible in-office collaboration schedule
- Bi-weekly all-company meeting
- Team offsites, team bonding activities, and happy hours
- Competitive bonuses and equity
- Healthcare, retirement, family-forming, and family-support benefits
- Employee giving match
- Mobile phone stipend
- R&R days
- Wellness reimbursement and onsite and virtual programming
- Generous vacation policy
- Parental leave and family planning benefits
- Catered lunches and fully stocked kitchens