Senior Data Engineer - Square (APAC Remote)

Responsibilities

You will design, build, and maintain scalable data pipelines and feature platforms to support machine learning and recommendation systems. You will also collaborate with cross-functional teams to translate business requirements into reliable data solutions and ensure data quality across pipelines.

Requirements

Candidates must have a Bachelor's or Master's degree in a technical field and at least 5 years of relevant industry experience. Proficiency in Java, Scala, and big data technologies like Spark or Flink is required, along with bilingual fluency in English and Chinese.

Skills

• Data engineering
• Java
• Scala
• Spark
• Hive
• Flink
• ETL
• ELT
• Feature engineering
• Machine learning
• Data pipelines
• Distributed systems
• Data warehousing
• Feature stores
• Data quality
• Communication

Benefits

• Competitive salary
• Company benefits
• Remote-first work arrangement

About this role

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.
What You’ll Do:
Responsible for designing, building, and maintaining scalable data pipelines to support Square team’s data and feature engineering needs.
Lead feature data preparation, transformation, validation, and monitoring for machine learning and recommendation/search systems.
Collaborate closely with algorithm, product, and business teams to translate business requirements into reliable data and feature solutions.
Drive the development of core data infrastructure and feature platforms with data-driven strategies to maximize business impact.
Ensure data quality, stability, and performance across offline and online feature pipelines.
Identify data gaps and optimization opportunities, and define success metrics together with Product and Business stakeholders.
What We’re Looking For:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related fields, with 5+ years of relevant industry experience.
Strong hands-on experience in data engineering, including large-scale data processing, ETL/ELT pipelines, and feature engineering.
Expert-level proficiency in Java and Scala.
Solid experience with big data technologies (e.g. Spark, Hive, Flink, or similar distributed systems).
Familiar with machine learning feature lifecycle, including offline training features and online serving features.
Experience working with data warehouses and feature stores is a strong plus.
Bilingual English and Chinese are required to be able to coordinate with overseas partners and stakeholders.
Strong ownership, communication skills, and ability to work in a fast-paced, cross-functional environment.
Why Binance
Shape the future of finance
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Binance

Technology, Information and Internet · 5,001-10,000 employees · headquartered in Everywhere