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# Data Engineer

- **Company:** US Tiger Securities Inc
- **Location:** New York, NY, United States
- **Salary:** $80,000.0 - $110,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Batch Processing, Cloud Computing, Databases, Data as a Services, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Database Queries, Software Debugging, Django Web Framework, Apache Hive, IBM WebSphere MQ, Python (Programming Language), Operational Databases, Performance Tuning, Queueing Systems, Standard Sql, SQL Databases, Data Streaming, Apache Spark, Amazon Relational Database Service, Pyspark, Information Technology, Apache Flink, Apache Kafka, Restful APIs, Data Pipelines, Docker, Amazon Redshift
- **Published:** September 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=573ee0a7b1fef58d

## About the Role

* Bachelor's degree in Data Engineering, Computer Science, Information Technology, or a related field.
 * Minimum of 3 years of experience in a data engineering or data platform role.
 * Strong SQL skills and hands-on experience with relational databases or analytical databases.
 * Proficiency in Python; Java experience is a plus.
 * Experience building or maintaining ETL/ELT data pipelines.
 * Experience with Apache Airflow or another workflow orchestration tool.
 * Ability to debug production data issues across logs, SQL queries, pipeline jobs, and application interfaces.
 * Proficiency in Mandarin Chinese is required, as the role will involve collaboration with Mandarin-speaking engineering and business stakeholders.

Preferred:

 * Experience with TiDB, Kafka, Flink, Hive, Spark, Doris, and DataSight, or a comparable real-time/batch data warehouse architecture.
 * Experience with Kafka, CDC, streaming data processing, and IBM MQ is a big plus.
 * Experience with Spark/PySpark, Flink/PyFlink, Hive, or Doris performance tuning and data modeling.
 * Experience with Django, RESTful APIs, JavaScript, and web debugging tools.
 * Experience with AWS and related cloud technologies, including EC2, Docker, RDS, Redshift, and S3., * Bachelor's (Required)

## Description

As a Data Engineer at US Tiger Securities, you will support the company's data platform and work with cross-functional teams to deliver reliable data pipelines, reports, data services, and interface applications for business users.

The ideal candidate has strong SQL and Python skills, hands-on experience with data pipelines and orchestration, and the ability to debug data issues across database, streaming, batch processing, and BI systems., * Build and maintain reliable batch and near-real-time data pipelines using Python, SQL, Airflow, Kafka, Flink, Spark, Hive, Doris, DataSight, or similar technologies.

 * Identify recurring reporting or data service needs and implement reusable internal solutions. Experience with Python, Java, Django, and JavaScript debugging is helpful.
 * Develop and maintain data interfaces for internal and external systems using RESTful APIs and message queue technologies such as Apache Kafka or IBM MQ.
 * Help troubleshoot, monitor, and improve data platform components across TiDB, Kafka, Flink, Hive, Spark, Doris, DataSight, and AWS services such as EC2, Docker, RDS, Redshift, and S3.