Ripple

Ripple

Staff Software Engineer, Data Engineering

San Francisco, CA, United States · Staff+ · Full-time

Sponsorship not specified$212k-$265kDetected 33 days ago
PythonSQLDatabricksAWSRESTSparkData EngineeringLLMsAgentic AIFinancial AnalysisUnityLeadershipCollaborationFinancial Reporting

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level III · 3×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

$9,187 more$221,187 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $221,187 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • 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.

Responsibilities

  • Lead the design of the core pillars of the platform - ingestion, transformation, governance, and data quality - and build the most critical components yourself.
  • Establish the benchmark for data quality and governance - expectations, data contracts, lineage, validation frameworks - and hold the team to it through building and code review.
  • Lead the most complex, ambiguous initiatives that span multiple quarters and teams, from problem statement to delivered capability.
  • Lead the technical direction for applying AI across data engineering. This includes agentic systems for pipeline operations, automated transformation generation, and self-serve analytics interfaces. Develop the first versions yourself.
  • Act as the quality standard bearer: raise code quality, build rigor, and engineering judgment across the team, and mentor senior engineers into greater ownership.
  • Deep mastery of Databricks - Delta Live Tables, Unity Catalog, Delta Lake, and Spark - with the judgment to make platform-level decisions and the skill to implement them.
  • A history of being the technical bar raiser - setting standards and patterns that other engineers build on, and lifting the quality of everyone around you.
  • Experience driving AI tooling into data engineering workflows - building agentic systems, integrating LLMs into developer workflows, or enabling conversational analytics.
  • We're committed to building a diverse and inclusive team.

Compensation

  • For positions that will be based in CA, the annual salary range for this position is below.

Company info

  • 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 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.
  • the engineer who sets the standard for how data is built at Ripple, and the others learn from by working alongside you.

Equal opportunity

  • Equal Opportunity Employer.

Visa & Work Authorization

  • plicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, militar

This listing is sourced directly from Ripple's careers page and normalized into a canonical job model.