Staff Software Engineer, Data Engineering

Ripple
San Francisco
Workplace: OnsiteFull timeUSD 212,000 - 265,000 annuallyFunction: Software EngineeringSkills: ["Engineering judgment","Mentorship","Technical credibility","Leadership","Problem-solving"]

Build and lead technical direction for the Caspian Data Platform on Ripple’s Data Engineering team, shaping ingestion, transformation, governance, and data quality. Define Databricks pipeline patterns and ship production flows with reference implementations. Establish data-quality and governance standards, lead complex multi-quarter initiatives, and drive AI into data engineering workflows—including agentic pipeline operations and automated transformation generation.

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FursaFursa
Ripple
Ripple
2 months ago

Staff Software Engineer, Data Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and lead technical direction for the Caspian Data Platform on Ripple’s Data Engineering team, shaping ingestion, transformation, governance, and data quality. Define Databricks pipeline patterns and ship production flows with reference implementations. Establish data-quality and governance standards, lead complex multi-quarter initiatives, and drive AI into data engineering workflows—including agentic pipeline operations and automated transformation generation.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead the design of core platform pillars—ingestion, transformation, governance, and data quality—and build the most critical components yourself.
  • •Define engineering patterns and reference architectures for Databricks pipelines; ship production flows and prototype hard parts before scaling.
  • •Establish and enforce benchmarks for data quality and governance, including data contracts, lineage, validation frameworks, and code review.
  • •Lead the most complex, ambiguous initiatives spanning multiple quarters and teams from problem statement to delivered capability.
  • •Drive the technical direction for applying AI across data engineering, including agentic systems for pipeline operations and self-serve analytics interfaces.

Pay and Benefits

Salary: USD 212,000 - 265,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceRetirementLearning BudgetMobile PhoneParental LeaveWellness StipendPaid Leave

Key Requirements

  • •10+ years of data engineering experience architecting and operating data platforms at scale while staying hands-on.
  • •Deep mastery of Databricks (Delta Live Tables, Unity Catalog, Delta Lake, Spark) to make platform-level decisions and implement them.
  • •Proven ownership of ingestion, transformation, governance, and data quality across a production platform.
  • •Expertise in SQL and Python for complex data modeling, transformations, and platform tooling.
  • •Strong AWS experience operating data systems at scale, plus experience integrating AI tooling into data engineering workflows.
Experience:Data engineeringData platforms
Skills:Engineering judgmentMentorshipTechnical credibilityLeadershipProblem-solving
Languages:English
Tech Stack:DatabricksDelta Live TablesUnity CatalogDelta LakeSparkSQLPythonAWSLLMs

Company Brief

Ripple
Builds blockchain-based payment and liquidity infrastructure for financial institutions and enterprises. Its products support cross-border payments, crypto liquidity, and digital asset settlement.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: San Francisco, United States
Founded: 2012
WebsiteLinkedIn