Senior Software Engineer, Data Engineering

Hidden Road; United States; On-site; USD 172,000 - 215,000; Full time

Benefits offered by this job

Competitive salary and equity

Comprehensive benefits: healthcare, 退休

Employee giving match

Mobile phone stipend

R&R days and generous vacation

Job summary

Ripple is seeking a Senior Software Engineer on the Data Engineering team to own the Caspian Data Platform, building production-grade ETL pipelines end-to-end and shaping data models across multiple domains. You’ll drive architectural decisions, mentor peers, and raise the bar for reliability and cost efficiency.

You will work with Databricks, Unity Catalog, Delta Lake, and AI tooling to enable scalable analytics, reporting, and data-driven operations across the business.

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 — Delta Live Tables, Unity Catalog, Delta Lake, and PySpark or Spark SQL.
• 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 — agents, code generation, or self-serve analytics workflows.
• Ability to take ambiguous requirements and design scalable data models and pipelines.

Responsibilities

• Design, build, and operate production ETL pipelines on Databricks using Delta Live Tables and Spark.
• Own data modelling across layers to serve reliable business metrics and downstream consumption.
• Drive technical design for multi-team projects with clear architecture and rollout plans.
• Build pipeline observability: failure detection, alerting, retries, and operational hygiene.
• Integrate AI tooling into data workflows for automation and data access.
• Mentor engineers and review code and designs to grow ownership.
• Contribute to platform infrastructure via Terraform and Unity Catalog data contracts and access controls.

Skills

SQL

Python

GitLab

Terraform

AI tooling

AWS

Tools

Databricks

Delta Live Tables

Unity Catalog

Delta Lake

PySpark

Spark SQL

Terraform

GitLab

Job description

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.

If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

Role Overview

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.

If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

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 modelling 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

$172,000 - $215,000 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.

Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.