5 hours ago
Responsibilities
- Design, build, and operate production ETL pipelines on Databricks using Delta Live Tables and Spark across Finance, Payments, Product, and GTM domains.
- Apply medallion architecture patterns and define governed, reusable data models across multiple layers.
- Drive technical design for multi-team projects, including architecture, tradeoffs, and rollout plans.
- Implement pipeline observability, failure detection, alerting, retry logic, and operational hygiene.
- Integrate AI tooling into data workflows for pipeline triage, transformation code generation, and natural-language data access.
- Mentor engineers through code and design reviews and support their growth into broader ownership.
- Contribute to platform infrastructure with Terraform and use Unity Catalog for data contracts, access controls, and lineage.
Requirements
- 5–8 years of hands-on data engineering experience building and maintaining production pipelines and data models.
- Deep proficiency with Databricks or similar platforms, including Delta Live Tables, Unity Catalog, Delta Lake, and PySpark or Spark SQL.
- Strong SQL skills covering complex transformations, incremental materialization, schema evolution, and data quality validation.
- Solid AWS experience building and operating data systems at scale.
- Proficiency in Python for ingestion, transformation, testing, and utility tooling.
- Experience with GitLab or similar CI/CD tooling and Terraform for infrastructure as code.
- Exposure to AI tooling in data contexts, such as agents, LLM-assisted code generation, or self-serve analytics workflows.
- Ability to define data models and pipeline designs for ambiguous requirements and deliver with minimal oversight.
- Familiarity with financial, payments, or blockchain data is a plus.
- Experience with Fivetran or similar ingestion tools is a plus.
Benefits
- Professional development budget.
- Flexible in-office collaboration, with managers and teams deciding which 10+ days per month employees come in.
- Team offsites, team bonding activities, happy hours, and bi-weekly all-company meetings.
- Competitive benefits covering physical and mental healthcare, retirement, family forming, and family support.
- Employee giving match and mobile phone stipend.
- R&R days, generous vacation, wellness reimbursement, and weekly onsite and virtual wellness programming.
- Parental leave and family planning benefits.
- Catered lunches, stocked kitchens, snacks, beverages, and company events.
Tech Stack
Categories
Data Engineering
About Ripple
Using proven crypto and blockchain technology honed over a decade, Ripple’s enterprise-grade solutions are faster, more transparent, and more cost-effective than traditional financial services. Our customers use these solutions to source crypto, facilitate instant payments, empower their treasury, engage new audiences, lower capital requirements, and drive new revenue. Founded in 2012, Ripple's vision is to enable a world where value moves as seamlessly as information flows today—an Internet of Value. Ripple is the only enterprise blockchain company today with products in commercial use. Ripple’s global payments network includes over 300 customers across 40+ countries and six continents.