Financial Data Engineer - Real-Time Stock & AI Pipelines

Binance; United States; Remote; USD 150,000 - 200,000; Full time

Job summary

Binance is seeking a senior data engineer to help build the core data foundation for its stock and financial market businesses. You will own the full pipeline from data source discovery and ingestion to unified modeling and real-time processing.

Design scalable data models, implement batch-stream pipelines around Flink, and establish data quality frameworks with automated reconciliation and anomaly detection.

Qualifications

• Master's degree in Computer Science or related field with 5+ years of data development experience.
• Proficient in SQL and Flink with large-scale real-time data processing experience.
• Proficient in Java, Scala, or Python, and familiar with Kafka, Spark, and distributed storage technologies.

Responsibilities

• Design scalable unified data models and integration frameworks handling different markets' calendars, time zones, currencies, and identifiers.
• Build batch-stream unified data pipelines centered on Flink, optimizing latency, throughput, and cost.
• Establish data quality and service level frameworks with automated reconciliation, anomaly detection, and fault recovery.
• Participate in building the core data foundation for Binance's stock and financial market businesses.
• Own the full pipeline from data source discovery, evaluation, and ingestion to unified modeling and real-time processing.
• Binance is a leading global blockchain ecosystem operating the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million users across 100+ countries, it offers a remote-first, flat-structured culture with diverse, world-class talent.

Skills

SQL

Flink

Java

Scala

Python

Distributed processing

Time zone handling

Education

Master's degree in Computer Science or related field

Tools

Flink

Kafka

Spark

Job description

Binance is seeking a senior data engineer to help build the core data foundation for its stock and financial market businesses. You will own the full pipeline from data source discovery and ingestion to unified modeling and real-time processing.

Design scalable data models, implement batch-stream pipelines around Flink, and establish data quality frameworks with automated reconciliation and anomaly detection.