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Senior Data Engineer - Square (APAC Remote)

Binance

Skills

Required

  • Data Engineering
  • feature engineering
  • Software Engineering
  • data processing
  • ETL/ELT pipelines
  • Java
  • Scala
  • big data
  • Spark
  • Hive
  • Flink
  • machine learning feature lifecycle
  • offline training
  • online serving

Preferred

  • machine learning
  • recommendation/search systems

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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About Binance

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.

Responsibilities

  • 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.

Requirements

  • 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
  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning

Benefits

  • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
  • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)