Ripple

Senior Software Engineer, Data Engineering

Ripple$168K — $210K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 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 and PySpark.
  • Strong SQL skills for complex transformations and data quality validation.
  • Solid AWS experience for operating large-scale data systems.
  • Proficiency in Python for ingestion, transformation, and testing.
  • Experience with CI/CD tools and infrastructure-as-code with Terraform.
  • Exposure to AI tooling in a data context.

Responsibilities

  • Design, build, and operate production ETL pipelines using Databricks and medallion architecture.
  • Own data modeling, defining reusable table structures for reliable business metrics.
  • Drive multi-team technical design projects, articulating tradeoffs and rollout plans.
  • Build observability into pipelines including failure detection and alerting.
  • Integrate AI tooling for automation and data access.
  • Mentor engineers through code reviews and technical support.
  • Contribute to platform infrastructure using Terraform and Unity Catalog.

Benefits

  • Professional development budget for learning opportunities.
  • Flexible in-office collaboration schedule with a minimum requirement of 10 days a month.
  • Bi-weekly company meetings for business updates and Q&A sessions with leadership.
  • R&R days for essential rest and recharge.
  • Generous vacation policy allowing flexibility in time off.
Full Job Description
Role Overview

As a Senior Software Engineer on the Data Engineering team, you are 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 own the design and delivery of production-grade pipelines end to end. You raise the engineering bar for the team through code reviews, technical design, and mentorship. You operate with high autonomy on complex, cross-functional data initiatives and bring sound judgment to tradeoffs around performance, cost, reliability, and maintainability.

What you'll do
  • 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.

What you'll bring
  • 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.

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


For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant's experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions.

CA Annual Base Salary Range

$168,000-$210,000 USD

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.

About Ripple

Ripple is a technology company that provides solutions for global payments. The company's main product is the Ripple payment protocol and its associated digital currency XRP. Ripple's payment protocol is designed to enable secure, instantly and nearly free global financial transactions of any size with no chargebacks. Ripple's customers include banks, payment providers, digital asset exchanges and corporates. The company was founded in 2012 and is headquartered in San Francisco, California.
Learn more about Ripple
Size
500 employees
Industry
Founded
2012

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