Senior Software Engineer, Data Engineering

Senior Software Engineer, Data Engineering Location: San Francisco, CA, United States. 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. 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. 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. Salary 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 Benefits Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match 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 Equal Opportunity Employer 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. #J-18808-Ljbffr