Senior/ Staff Data Engineer

OKX•San Jose, CA

41d•Hybrid

About The Position

At OKX, we’re reimagining how data empowers the future of finance. As one of the world’s leading digital asset exchanges, OKX serves millions of users across 100+ countries and processes billions in daily trading volume every day. We’re looking for a Data Engineer to join our Risk Data team. In this role, you’ll design, build, and optimize large-scale data systems that power our global risk management functions — helping OKX make smarter, faster, and more secure business decisions.

Requirements

Strong understanding of data warehouse modeling theory with hands-on experience in model design and implementation.
Proven experience supporting real-world business scenarios through robust data warehouse systems.
Familiarity with big data architectures and tools, particularly Alicloud DataWorks/MaxCompute, AWS Spark, and Databricks.
Excellent communication skills with the ability to translate technical solutions into business value.
Strong problem-solving and stress-resilience, with a proactive approach to understanding business context.
Ability to integrate technical and business insights to drive impactful data solutions.
Business proficiency in both Mandarin and English is required to effectively collaborate with global teams and stakeholders.

Nice To Haves

Experience with StarRocks or Doris for high-performance analytics.
Hands-on experience in real-time big data systems or real-time data warehouse development.
Background in building user portrait, feature, or metrics systems.
Exposure to advanced data applications or solution design in large-scale environments.

Responsibilities

Build and maintain the risk business domain data warehouse and develop theme index systems to support the data needs of the risk business.
Design and implement the technical architecture for offline and real-time data applications.
Optimize the performance and reliability of data pipelines to ensure efficiency at scale.
Develop report data and interface data for the data mart to enable downstream analytics and insights.
Collaborate closely with product, risk, and engineering teams to translate business needs into scalable data solutions.