Ripple
Senior Software Engineer, Data Engineering

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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 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 on-call 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
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!


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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.
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