Senior Data Engineer – Square, APAC

Binance

. Design, build, and maintain scalable data pipelines supporting the Square team’s data and feature engineering needs .

Posted 11/6/2026full-timeRemote • Hong Kong, Singapore, TaiwanSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines, with a strong focus on data quality and performance. Proficient in data engineering practices, including ETL/ELT processes and collaboration with cross-functional teams to drive data-driven business solutions.

Highest-signal resume keywords

Data EngineeringJava ProficiencyScala ProficiencyBig Data TechnologiesBilingual English and Chinese

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignETL/ELT ProcessesFeature EngineeringLarge-Scale Data ProcessingData Quality Assurance

Soft Skills

Strong OwnershipCommunication SkillsCross-Functional Collaboration

Tools & Technologies

SparkHiveFlinkData WarehousesFeature Stores

Industry Keywords

Machine LearningData InfrastructureFeature PlatformsData GapsSuccess Metrics

Tech Stack

Tools & technologies

Distributed SystemsETLJavaScalaSpark

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines supporting the Square team’s data and feature engineering needs
Lead feature data preparation, transformation, validation, and monitoring for machine learning and recommendation/search systems
Collaborate with algorithm, product, and business teams to translate business requirements into reliable data and feature solutions
Drive development of core data infrastructure and feature platforms using 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 with Product and Business stakeholders

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related fields
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)
Familiarity 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

Benefits

Comp & perks

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)