Senior Data Engineer

Longbridge; Dallas (TX); In loco; USD 100.000 - 130.000; Tempo pieno

Descrizione del lavoro

A financial technology firm is seeking a Data Engineer to design and build data warehouses for the US market. You will develop ETL pipelines, collaborate across teams, and maintain data platforms. The ideal candidate has 7+ years of data engineering experience, proficiency in the Hadoop ecosystem, and a Bachelor's degree in related fields. This role offers an opportunity to work in a fast-moving environment and requires proficiency in Mandarin and English for international collaboration.

Competenze

• 7+ years of data engineering experience with a proven track record in data platform/data warehouse projects.
• Solid understanding of data warehouse modeling and ETL performance optimization.
• Experience with open-source data platform development.

Mansioni

• Design and build batch/real‑time data warehouses to support the US market growth.
• Develop efficient ETL pipelines to optimize data processing performance.
• Maintain and develop enterprise data platforms for the US market.

Conoscenze

Data engineering experience

Hadoop ecosystem (Hive, Kafka, Spark, Flink)

SQL

Programming language (Python/Java/Scala)

AWS/cloud platforms

Docker

Kubernetes

Cross-department collaboration

Proficiency in Mandarin

Proficiency in English

Formazione

Bachelor's degree in Computer Science, Data Science, Statistics, or related fields

Strumenti

DolphinScheduler

SeaTunnel

MySQL

PostgreSQL

Descrizione del lavoro

Overview

Longbridge Securities, founded in March 2019 and headquartered in Singapore, is a next‑generation online brokerage platform. Established by a team of seasoned finance professionals and technical experts from leading global firms, we are committed to advancing financial technology innovation. Our mission is to empower every investor by offering enhanced financial opportunities.

What You’ll Do

As part of our global expansion, we’re seeking a Data Engineer to design and build batch/real‑time data warehouses and maintain data platforms that power trading and research for the US market. You’ll work on data pipelines, APIs, storage systems, and quality monitoring to ensure reliable, scalable, and efficient data services.

Responsibilities

• Design and build batch/real‑time data warehouses to support the US market growth
• Develop efficient ETL pipelines to optimize data processing performance and ensure data quality/stability
• Build a unified data middleware layer to reduce business data development costs and improve service reusability
• Collaborate with business teams to identify core metrics and data requirements, delivering actionable data solutions
• Discover data insights through collaboration with the business owner
• Maintain and develop enterprise data platforms for the US market

Qualifications

• 7+ years of data engineering experience with a proven track record in data platform/data warehouse projects
• Proficient in Hadoop ecosystem (Hive, Kafka, Spark, Flink), Trino, SQL, and at least one programming language (Python/Java/Scala)
• Solid understanding of data warehouse modeling (dimensional modeling, star/snowflake schemas) and ETL performance optimization
• Familiarity with AWS/cloud platforms and experience with Docker, Kubernetes
• Experience with open‑source data platform development, familiar with at least one relational database (MySQL/PostgreSQL)
• Strong cross‑department collaboration skills to translate business requirements into technical solutions
• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, or related fields
• Comfortable working in a fast‑moving fintech/tech startup environment
• Proficiency in Mandarin and English at the business communication level for international team collaboration

Bonus Point

Experience with DolphinScheduler and SeaTunnel is a plus