Backend Data Engineer

San Francisco • $150k - $225k

Ripple


Team

Data

Role Location

  • San Francisco

Compensation

$150k - $225k

Employees

251 - 500 people

Address

315 Montgomery St Fl 2
San Francisco, CA, 94104, US

Tech Stack

  • Java
  • PostgreSQL
  • Docker
  • Redis
  • AWS
  • Linux
  • javascript
  • Spring MVC
  • Hibernate
  • React
  • JavaScript
  • Redux

Role Description

Ripple is the world’s only enterprise blockchain solution for global payments. Today the world sends more than $155 trillion across borders, however, the underlying infrastructure is dated and flawed. Ripple solves this problem. We connect banks, payment providers, corporations, and digital asset exchanges via RippleNet to provide one frictionless experience to send money globally. Ripple’s distributed financial technology outperforms today’s banking infrastructure by driving down costs, increasing processing speeds and delivering end-to-end visibility into payment fees, timing and delivery.

Ripple is growing rapidly and we are looking for a results-oriented and passionate Staff Software Engineer to help create the next generation of data infrastructure built for scale, resilience, and reliability. This is a high impact role. You will be responsible for real-time data pipelines and valuable internal tools used by leadership, compliance, finance and product teams to make strategic business decisions. You will be responsible for our Data API that powers public-facing applications like XRP Charts, used globally by users to follow the XRP ledger network.

WHAT YOU’LL DO: Build real-time data pipelines and tools to keep pace with the growth of our data and its consumers Power our externally-facing data APIs and applications built on top of them Build foundational systems and services that allow users to focus on business and application logic via higher-level programming models Design and implement systems for scalability, availability and graceful degradation Build frameworks for measuring and monitoring data quality and integrity Identify and analyze requirements and use cases from multiple internal teams (including Finance, Compliance, Analytics, Data Science, and Engineering); work with other technical leads to design solutions for the requirements

WHAT WE’RE LOOKING FOR: Deep experience with distributed systems, distributed data stores, data pipelines, and other tools in cloud services environments (e.g GCP, AWS) Experience with distributed compute engines like BigTable, BigQuery, Dataflow, Hadoop, Hive, Spark, HBase Extensive experience with real-time stream processing frameworks such as Beam, Kafka, Storm, Flink, Spark streaming Expert knowledge of data modeling for large scale distributed data platforms Experience with data security, management, and governance Experience with RESTful APIs and server-side APIs integration Proficient in SQL, Python, Java, Go Experience in supporting Node.js in production is a plus Familiarity with Unix-like operating systems Familiarity with distributed ledger technology concepts and financial transaction/trading data You have a passion working with great peers and motivating teams to reach their potential You are a strong partner to other engineering and non-engineering teams and can drive cross-functional projects forward You have experience building internal infrastructure that is shared across teams

About Ripple

Ripple provides one frictionless experience to send money globally using the power of blockchain. By joining Ripple’s growing, global network, financial institutions can process their customers’ payments anywhere in the world instantly, reliably and cost-effectively. Banks and payment providers can use the digital asset XRP to further reduce their costs and access new markets.

With offices in San Francisco, New York, London, Sydney, Mumbai, Singapore, Dubai and Sao Paulo, Ripple has more than 200 customers around the world and over 40 in production.

Enterprise Software (SAAS) Blockchain Banking, Cryptocurrency and Digital Assets.

Company Culture

We are all working hard to solve a global problem, we have fun and we work hard, we solve problems and we celebrate. We are always learning.

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