Remote-First Stock Data Engineer for AI & Trading

Binance; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Remote-first, work-from-home arranging

Competitive salary and benefits

Global, diverse team

Job summary

Binance is seeking a data engineer to build the core data foundation for stock and financial market data, from source discovery to unified modeling and real-time processing. You will design scalable pipelines, establish data quality standards, and collaborate with product, compliance, and AI teams.

Join a remote-first, globally distributed team, tackle fast-paced projects, and help deliver reliable data services that power trading products and research across markets.

Qualifications

• Master’s degree or above in Computer Science, Software Engineering, Mathematics, Statistics, or related field; 5+ years of experience in data development.
• Familiar with stock markets and the investor research and decision-making workflow; understand trading mechanisms, market data, fundamentals and financial reports, corporate actions, valuation, and major market events.
• Proficient in SQL and Flink, with experience in large-scale real-time data processing, performance tuning, stability governance, and production issue troubleshooting.
• Proficient in at least one of Java, Scala, or Python; familiar with Kafka, Spark, and ClickHouse, Doris, HBase, Elasticsearch, or other distributed storage and analytics technologies.
• Familiar with data modeling, task scheduling, metadata, data lineage, data governance, and service levels; able to independently resolve cross-system data consistency issues.
• High standards for data quality; able to design reproducible reconciliation, anomaly detection, backfill, and degradation strategies — not just completing data development tasks.
• Experience with data source selection or production ingestion; able to articulate trade-offs between build vs. buy, multi-source verification, vendor dependency, and alternative solutions.
• Strong business understanding and cross-team collaboration skills; able to translate trading, risk, research, or AI problems into clear data models and data contracts.

Responsibilities

• Research, evaluate, ingest, integrate, cleanse, and service financial market data.
• Design scalable unified data models and integration frameworks for multi-market data.
• Build batch-stream data pipelines centered on Flink to optimize latency and throughput.
• Establish data quality and service level frameworks with monitoring and alerting.
• Evaluate data sources and collaborate with product, procurement, legal on usage and redistribution boundaries.
• Define data semantics and service contracts with trading product, data platform, AI teams.
• Drive data engineering efficiency, including metadata, lineage, CI/CD, orchestration, and AI-assisted development.

Skills

SQL

Flink

Real-time processing

Java/Scala/Python

Kafka

ClickHouse

Education

Master’s degree in CS/SE/Math/Stats

Tools

Kafka

Spark

ClickHouse

Doris

HBase

Elasticsearch

Job description

Binance is seeking a data engineer to build the core data foundation for stock and financial market data, from source discovery to unified modeling and real-time processing. You will design scalable pipelines, establish data quality standards, and collaborate with product, compliance, and AI teams.

Join a remote-first, globally distributed team, tackle fast-paced projects, and help deliver reliable data services that power trading products and research across markets.