Senior Software Engineer, Data Engineering
Ripple provides crypto and blockchain solutions for enterprises, enabling global financial entities to move, manage, and tokenize value. They focus on improving existing financial systems through partnerships and regulatory compliance, with products used in over 50 countries.
About Ripple
Ripple is an enterprise blockchain and crypto solutions company that aims to enable the world to move value as seamlessly as information moves today. Their mission is to build breakthrough crypto solutions for a world without economic borders. Using blockchain technology, Ripple facilitates global financial institutions, businesses, governments, and developers to move, manage, and tokenize value, thereby unlocking greater economic opportunity. The company works within existing financial systems to improve them, partnering with customers to streamline infrastructure and collaborating with regulators to ensure solutions are secure and compliant. Ripple's products are in commercial use by hundreds of customers across more than 50 countries, helping them expand into new markets, access liquidity solutions, and generate crypto-enabled revenue streams. They also support developers by providing tools for building on the XRP Ledger, a fast and sustainable public blockchain. Ripple’s payments, custody and stablecoin solutions empower financial institutions to integrate blockchain and digital assets into their business in a simple, secure, compliant way—all in one place. From instant payments to asset tokenization, blockchain and crypto are happening right now, across the world. It’s happening to suppliers, to retailers, to exchanges, to currencies, to sectors, to industries, to markets, and to global businesses. And it’s happening with Ripple.
Skills
About the Role
You will be a core builder of the Caspian Data Platform, Ripple's centralized lakehouse that powers analytics, financial reporting, product intelligence, and data-driven operations across every business unit. You will own the design and delivery of production-grade pipelines end to end, raise the engineering bar through code reviews, technical design, and mentorship, and operate with high autonomy on complex, cross-functional data initiatives, bringing sound judgment to tradeoffs around performance, cost, reliability, and maintainability.
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 — Delta Live Tables, Unity Catalog, Delta Lake, and PySpark or Spark SQL as primary tools
- Strong SQL skills: complex transformations, incremental materialization, schema evolution, and data quality validation
- Solid AWS experience relevant to building and operating data systems at scale
- Proficiency in Python for data engineering — ingestion, transformation, testing, and utility tooling
- Experience with CI/CD tooling such as GitLab and infrastructure-as-code with Terraform
- Exposure to AI tooling in a data context — whether building agents, using LLMs for code generation, or enabling self-serve analytics workflows
- The ability to take ambiguous requirements, define the right data model and pipeline design, and deliver with minimal oversight
Responsibilities
- Design, build, and operate production ETL pipelines on Databricks using Delta Live Tables and Spark, applying medallion architecture patterns across Finance, Payments, Product, and GTM domains
- Own data modeling in different layers, defining governed, reusable table structures that serve as reliable sources of truth for business metrics and downstream consumption
- Drive technical design for projects spanning multiple teams, writing clear design documents that articulate architecture, tradeoffs, and rollout plans
- Build pipeline observability into your work including failure detection, alerting, retry logic, and operational hygiene that keeps oncall burden low
- Integrate AI tooling into data workflows including agentic systems for pipeline triage, automated code generation for transformations, and natural language interfaces for data access
- Mentor engineers, reviewing their code and designs and helping them grow into more complex ownership
- Contribute to platform infrastructure through Terraform, and work with Unity Catalog to establish data contracts, access controls, and lineage
Benefits
- Professional development budget
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
- R&R days
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy
- Industry-leading parental leave policies and family planning benefits
- Catered lunches, fully-stocked kitchens with premium snacks/beverages