обновлено 5 дней назад
Staff Software Engineer (Data Engineering)
212 000 - 265 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Data Engineering): Building and defining the technical direction of Ripple's centralized lakehouse platform for analytics, financial reporting, product intelligence, and data-driven operations with an accent on ingestion, transformation, governance, and data quality. Focus on designing Databricks reference architectures, building agentic AI systems for pipeline operations, and solving complex platform challenges across multiple teams.
Location: Hybrid, with teams and managers deciding which 10+ days per month employees come into the office
Salary: $212,000–$265,000 USD annual base salary for positions based in California; equity, bonuses, and additional compensation are not included.
Company
builds crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system.
What you will do
- Set the technical direction for the Caspian Data Platform, a centralized lakehouse supporting analytics, financial reporting, product intelligence, and data-driven operations.
- Design and build core platform capabilities for ingestion, transformation, governance, and data quality.
- Define Databricks pipeline patterns and reference architectures while shipping production data flows and prototypes.
- Establish data contracts, lineage, validation frameworks, and engineering quality standards.
- Lead complex, ambiguous initiatives spanning multiple quarters and teams.
- Develop AI capabilities for data engineering, including agentic pipeline operations, automated transformation generation, and conversational analytics.
Requirements
- 10+ years of data engineering experience architecting and operating large-scale data platforms while remaining hands-on.
- Deep expertise in Databricks, Delta Live Tables, Unity Catalog, Delta Lake, and Spark.
- Experience owning ingestion, transformation, governance, and data quality for production platforms.
- Expertise in SQL and Python for data modeling, transformation, and platform tooling.
- Strong AWS experience operating data systems at scale.
- Experience building AI tooling, agentic systems, LLM integrations, or conversational analytics, plus the ability to influence engineers and leadership through technical credibility.
Culture & Benefits
- Fast-paced startup environment with experienced industry leaders and opportunities to work with current technologies.
- Professional development budget and learning opportunities.
- In-office collaboration, team offsites, team bonding activities, and company-wide meetings.
- Competitive salary, bonuses, equity, healthcare, retirement, family support, and employee giving match.
- Vacation policy, R&R days, wellness reimbursement, parental leave, family planning benefits, and mobile phone stipend.
- Benefits listed above apply to full-time employees and include catered lunches and stocked kitchens.
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