A technology-driven global financial services organization is hiring a Data Engineer to join a small, hands-on Data Engineering team supporting a modern data platform and business-critical systems. This position goes beyond traditional reporting and data extraction. The engineer will work across streaming and batch pipelines, cloud infrastructure, distributed data-processing technologies, production troubleshooting, and reusable data services. Mandarin Chinese proficiency is required because the position works with Mandarin-speaking stakeholders and Chinese-language technical systems and documentation. RESPONSIBILITIES Build and maintain reliable batch and near-real-time data pipelines.Develop data workflows using Python, SQL, Kafka, Spark, and workflow-orchestration technologies.Support and troubleshoot production data services across databases, streaming platforms, batch systems, and application interfaces.Develop reusable internal data services and APIs.Work with AWS-based data infrastructure and Infrastructure as Code.Partner with database, reliability, infrastructure, and application engineering teams.Monitor and improve the reliability and performance of data-platform components.Support internal and external data integrations using REST APIs and messaging technologies. Role Requirements 3+ years of Data Engineering, Data Platform, or closely related experience.Professional proficiency in Mandarin Chinese.Strong hands-on Kafka experience.Experience working with AWS.Experience with Terraform or another Infrastructure as Code technology.Strong Python and SQL skills.Experience building or maintaining ETL / ELT pipelines.Experience with Spark or comparable distributed data-processing technologies.Experience with workflow orchestration such as Airflow.Ability to troubleshoot production data issues across pipelines, logs, databases, jobs, and interfaces.Ability to work onsite 3 days per week in the New York City / Northern New Jersey area. PREFERRED EXPERIENCE Financial services or trading-technology experience.Flink, Hive, TiDB, Doris, or similar distributed-data technologies.CDC and streaming-data architectures.IBM MQ or similar messaging technologies.Java, Django, REST APIs, or web-service development.AWS services such as EC2, RDS, Redshift, and S3.