Senior 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
You will be a core builder of Ripple's Caspian Data Platform, owning the design and delivery of production-grade data pipelines, data modeling, technical design, observability, AI tooling integration, infrastructure contributions, and mentorship across complex cross-functional initiatives.
Requirements
- 5–8 years of hands-on data engineering experience building and maintaining production pipelines and data models.
- Deep proficiency with Databricks or similar platforms, including Delta Live Tables, Unity Catalog, Delta Lake, and PySpark or Spark SQL.
- Strong SQL skills in complex transformations, incremental materialization, schema evolution, and data quality validation.
- Solid AWS experience building and operating data systems at scale.
- Proficiency in Python for ingestion, transformation, testing, and utility tooling.
- Experience with CI/CD tools such as GitLab and infrastructure-as-code with Terraform.
- Exposure to AI tooling in a data context.
- Ability to define data models and pipeline designs from ambiguous requirements with minimal oversight.
Responsibilities
- Design, build, and operate production ETL pipelines on Databricks using Delta Live Tables and Spark across Finance, Payments, Product, and GTM domains.
- Own governed, reusable data models across layers for business metrics and downstream consumption.
- Drive technical design for cross-team projects, documenting architecture, tradeoffs, and rollout plans.
- Build pipeline observability with failure detection, alerting, retry logic, and operational hygiene.
- Integrate AI tooling, agentic systems, automated code generation, and natural language interfaces into data workflows.
- Mentor engineers and review their code and designs.
- Contribute to infrastructure with Terraform and establish data contracts, access controls, and lineage with Unity Catalog.
Benefits
- Professional development budget
- Competitive 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 stocked kitchens