Ripple

2 months ago

Senior Software Engineer, Data Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Build and run production-grade ETL pipelines for Ripple’s Caspian Data Platform, a centralized lakehouse powering analytics, reporting, and data-driven operations. Own end-to-end data modeling, observability, and technical design across Finance, Payments, Product, and GTM. Raise engineering quality through code reviews and mentorship while integrating AI tooling, and contributing to platform infrastructure using Terraform and Unity Catalog.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and operate production ETL pipelines on Databricks using Delta Live Tables and Spark across multiple domains.
•Own data modeling across governed layers to provide reliable sources of truth for business metrics.
•Drive technical design for cross-team initiatives by writing clear architecture and rollout documents.
•Build pipeline observability including failure detection, alerting, retry logic, and operational hygiene.
•Integrate AI tooling into data workflows and mentor engineers through code and design reviews.

Pay and Benefits

Salary: USD 172,000 - 215,000 annually

Perks:Health InsuranceDentalVision401kRetirementLearning BudgetParental LeavePaid LeaveRemote WorkMeal Allowance

Key Requirements

•5–8 years of hands-on data engineering experience building and maintaining production pipelines and data models.
•Deep proficiency with Databricks (Delta Live Tables, Unity Catalog, Delta Lake) and PySpark or Spark SQL.
•Strong SQL skills for 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, plus experience with CI/CD (e.g., GitLab) and infrastructure-as-code with Terraform.

Experience:5-8 yearsData engineeringData platformsLakehouseAnalyticsETL

Skills:Code reviewsMentorshipTechnical designObservabilityJudgment

Languages:English

Tech Stack:DatabricksDelta Live TablesSparkMedallion architectureDelta LakePySparkSpark SQLSQLUnity CatalogPythonAWSGitLabTerraformCI/CDETLLLMs

Company Brief

Ripple

Website

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Ripple

2 months ago

Senior Software Engineer, Data Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and operate production ETL pipelines on Databricks using Delta Live Tables and Spark across multiple domains.
•Own data modeling across governed layers to provide reliable sources of truth for business metrics.
•Drive technical design for cross-team initiatives by writing clear architecture and rollout documents.
•Build pipeline observability including failure detection, alerting, retry logic, and operational hygiene.
•Integrate AI tooling into data workflows and mentor engineers through code and design reviews.

Pay and Benefits

Salary: USD 172,000 - 215,000 annually

Perks:Health InsuranceDentalVision401kRetirementLearning BudgetParental LeavePaid LeaveRemote WorkMeal Allowance

Key Requirements

•5–8 years of hands-on data engineering experience building and maintaining production pipelines and data models.
•Deep proficiency with Databricks (Delta Live Tables, Unity Catalog, Delta Lake) and PySpark or Spark SQL.
•Strong SQL skills for 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, plus experience with CI/CD (e.g., GitLab) and infrastructure-as-code with Terraform.

Experience:5-8 yearsData engineeringData platformsLakehouseAnalyticsETL

Skills:Code reviewsMentorshipTechnical designObservabilityJudgment

Languages:English

Tech Stack:DatabricksDelta Live TablesSparkMedallion architectureDelta LakePySparkSpark SQLSQLUnity CatalogPythonAWSGitLabTerraformCI/CDETLLLMs

Company Brief

Ripple

Website