Description:

Design, build, and maintain scalable data pipelines for the Square team’s data and feature engineering needs.
Lead 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 solutions.
Drive development of core data infrastructure and feature platforms to maximize business impact.
Ensure data quality, stability, and performance across feature pipelines.
Identify data gaps and optimization opportunities, defining success metrics with stakeholders.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related fields with 5+ years of relevant experience.
Strong hands-on experience in data engineering, including large-scale data processing and ETL/ELT pipelines.
Expert-level proficiency in Java and Scala.
Solid experience with big data technologies (e.g., Spark, Hive, Flink).
Familiarity with machine learning feature lifecycle, including offline training and online serving features.
Experience with data warehouses and feature stores is a strong plus.
Bilingual in English and Chinese required for coordination with overseas partners.
Strong ownership, communication skills, and ability to work in a fast-paced environment.

Shape the future of finance and collaborate with world-class talent in a user-centric organization.
Tackle challenging projects in a fast-paced, innovative environment 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 by role and team).

Skills