Senior Data Engineer (Java/Scala, Machine Learning)

Location: Remote-first, with locations listed in China, Hong Kong, Singapore, and Taiwan; work-from-home arrangements may vary by role and team.

Company

Binance is a global blockchain ecosystem operating a cryptocurrency exchange and digital-asset products across trading, finance, payments, education, research, and institutional services.

What you will do

• Design, build, and maintain scalable data pipelines supporting Square data and feature engineering.
• Prepare, transform, validate, and monitor feature data for machine learning and recommendation/search systems.
• Translate business requirements into reliable data and feature solutions with algorithm, product, and business teams.
• Develop core data infrastructure and feature platforms using data-driven strategies.
• Ensure quality, stability, and performance across offline and online feature pipelines.
• Identify data gaps and optimization opportunities and define success metrics with product and business stakeholders.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related field.
• 5+ years of relevant industry experience.
• Strong hands-on experience in data engineering, large-scale data processing, ETL/ELT pipelines, and feature engineering.
• Expert-level proficiency in Java and Scala.
• Experience with big data technologies such as Spark, Hive, Flink, or similar distributed systems.
• Familiarity with the machine learning feature lifecycle, including offline training features and online serving features.
• Bilingual English and Chinese required for coordination with overseas partners and stakeholders.
• Strong ownership, communication skills, and ability to work in a fast-paced, cross-functional environment.

Nice to have

• Experience with data warehouses and feature stores.

Culture & Benefits

• Remote-first, work-from-home arrangement, subject to the nature of the role and team.
• Work in a user-centric global organization with a flat structure and cross-functional collaboration.
• Autonomy on challenging projects in a fast-paced and innovative environment.
• Career growth and continuous learning opportunities.
• Competitive salary and company benefits.