Senior Software Engineer, Data Engineering

About the role

Join us as a Senior Software Engineer on the Data Engineering team. 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.

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 — failure detection, alerting, retry logic, and the operational hygiene that keeps oncall burden low.
• Integrate AI tooling into data workflows: 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.

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.
• Familiarity with financial, payments, or blockchain data.
• Experience with Fivetran or similar ingestion tools and their operational patterns.

Qualifications

• BS/MS in Computer Science, Statistics, Mathematics, or related field.
• Experience with data warehousing and analytics tools.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Skills

• Python
• Databricks/Delta Live Tables/Unity Catalog/Delta Lake
• SQL
• AWS
• Terraform
• CI/CD
• AI/ML
• Financial, Payments, or Blockchain Data

Benefits

• 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
• R&R days
• Generous wellness reimbursement and weekly onsite & virtual programming
• Generous vacation policy
• Industry-leading parental leave policies. Family planning benefits.
• Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events

Pay

• Competitive compensation package

Schedule

• Full-time