Remote-First Senior Data Engineer - ML Features & Pipelines

Binance; Hong Kong; Remote; HKD 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote-first policy

Global collaboration

Job summary

Binance seeks an experienced data engineer to design, build, and maintain scalable data pipelines supporting ML and recommendation systems. You will lead feature data preparation, transformation, validation, and monitoring, collaborating with product and business teams.

Strong Java/Scala and big data tech (Spark/Hive/Flink) are required. The role requires 5+ years of data engineering experience, English and Chinese proficiency, and familiarity with data warehouses and feature stores.

Qualifications

• Bachelor’s or Master’s degree in CS/Data Eng or related
• 5+ years of relevant industry experience
• Strong hands-on data engineering experience with large-scale processing
• Proficiency in Java and Scala
• Experience with Spark/Hive/Flink or similar
• Familiar with ML feature lifecycle (offline/online)
• Experience with data warehouses and feature stores is a plus
• Bilingual English and Chinese for coordinating with partners

Responsibilities

• Design, build, and maintain scalable data pipelines
• Lead feature data preparation, transformation, validation, and monitoring
• Collaborate with algorithm, product, and business teams to translate requirements
• Develop core data infrastructure and feature platforms
• Ensure data quality, stability, and performance across pipelines
• Identify data gaps and optimize data solutions with stakeholders

Skills

Data engineering

ETL/ELT pipelines

Feature engineering

Java

Scala

Large-scale data processing

Data quality

Cross-functional collaboration

Ownership

English + Chinese

Education

Bachelor’s or Master’s in Computer Science / Data Engineering

Tools

Spark

Hive

Flink

Job description

Binance seeks an experienced data engineer to design, build, and maintain scalable data pipelines supporting ML and recommendation systems. You will lead feature data preparation, transformation, validation, and monitoring, collaborating with product and business teams.

Strong Java/Scala and big data tech (Spark/Hive/Flink) are required. The role requires 5+ years of data engineering experience, English and Chinese proficiency, and familiarity with data warehouses and feature stores.