Binance

Runs a global cryptocurrency trading exchange

Financial Data Engineer - Stock & AI Data

Data EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

A Master's degree or above in Computer Science, Software Engineering, Mathematics, Statistics, or a related field, and at least five years of experience in data development, big data, or data platforms.
Familiarity with stock markets and investor research and decision-making workflows, including trading mechanisms, market data, fundamentals and financial reports, corporate actions, valuation, and major market events; ability to explain the full source-to-user-facing-product pipeline for at least one financial data type and its key quality risks.
Proficiency in SQL and Flink, with experience in large-scale real-time data processing, performance tuning, stability governance, and production issue troubleshooting.
Proficiency in at least one of Java, Scala, or Python, and familiarity with Kafka, Spark, and distributed storage and analytics technologies such as ClickHouse, Doris, HBase, or Elasticsearch.
Familiarity with data modeling, task scheduling, metadata, data lineage, data governance, and service levels; ability to independently resolve cross-system data consistency issues.
Ability to design reproducible data reconciliation, anomaly detection, backfill, and degradation strategies.
Experience selecting data sources or performing production ingestion, and ability to explain trade-offs in build-versus-buy, multi-source verification, vendor dependency, and alternatives.
Business understanding and cross-team collaboration skills to translate trading, risk, research, or AI problems into clear data models and data contracts.

Responsibilities

Research, technically evaluate, ingest, integrate, cleanse, standardize, compute, store, and serve financial market data, including securities master data, real-time and historical market data, fundamentals, corporate actions, indices, and required product and risk data; manage source ingestion and raw retention, and deliver content-type data such as announcements, news, and research reports reliably to knowledge engineering pipelines.
Design scalable unified data models and integration frameworks that handle different markets' trading calendars, time zones, currencies, security identifiers, listing relationships, lifecycles, and data corrections, enabling rapid onboarding of markets and sources.
Build batch-stream unified data pipelines centered on Flink and optimize latency, throughput, query performance, stability, and cost for trading products, research analysis, and AI scenarios.
Establish data quality and service-level frameworks and ensure completeness, accuracy, timeliness, consistency, and traceability; build automated reconciliation, anomaly detection, monitoring and alerting, raw data replay, backfill, and fault recovery capabilities.
Evaluate vendors, exchanges, APIs, file feeds, and compliance collection sources for coverage, quality, stability, revision mechanisms, and technical fit; collaborate with product, procurement, legal, and compliance teams on usage, display, derivative, retention, and redistribution boundaries; develop primary and backup source strategies and alternatives.
Define data semantics, metric definitions, and service contracts with trading product, data platform, AI engineering, and algorithm teams to ensure consistent and reliable use of stock facts across products.
Improve data engineering efficiency and technical quality through metadata, data lineage, automated testing, CI/CD, task orchestration, capacity governance, and AI-assisted development.

Desired Qualifications

Experience with stock data at brokerages, market data services, financial data, wealth management, or fintech platforms.
Familiarity with US stock market structure, trading calendars, pre- and post-market sessions, corporate actions, and adjustment rules; experience with other stock markets is also a plus.
Data experience with stock-related derivatives, ETFs, indices, or tokenized products.
Experience building low-latency market data pipelines, securities master data platforms, multi-market data models, quantitative research platforms, or large-scale backtesting data systems.
Experience with data anomaly detection, knowledge graphs, financial entity alignment, or building high-quality financial datasets for large language models and retrieval-augmented generation.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

About Binance
Binance is the global leading blockchain ecosystem, operating the world's largest digital asset trading platform by volume, serving over 300 million users across 100+ countries and regions. We are committed to building a more open financial ecosystem and improving global access to financial services.
Binance is continuously building stock and related financial market products for global users. The relevant data will serve user-facing stock products and Binance AI business scenarios. We are seeking professionals with stock market experience to jointly build reliable, scalable data and financial AI capabilities.

Role Overview
You will participate in building the core data foundation for Binance's stock and related financial market businesses, responsible for the full pipeline from data source discovery, evaluation, ingestion, and integration to unified modeling, real-time processing, quality governance, and data services. Beyond completing defined integrations, we expect you to leverage industry expertise to continuously identify better data sources and technical solutions, enabling new markets, products, and data to serve trading products and AI quickly and reliably.

Working at Binance
• Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities
• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless
• Tackle fast-paced, challenging and unique projects
• Work in a truly global organization, with international teams and a flat organizational structure
• Competitive salary and benefits
• Flexible working hours, remote-first, and casual work attire

Learn more about how Binancians embody the organization’s core values, creating a unified culture that enables collaboration, excellence, and growth.
Apply today to be a part of the Web3 revolution!
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

Responsibilities

Conduct research, technical evaluation, ingestion, integration, cleansing, standardization, computation, storage, and servicing of financial market data, covering securities master data, real-time and historical market data, fundamentals, corporate actions, indices, and business-required product and risk data; responsible for source ingestion, raw retention, and stable delivery to knowledge engineering pipelines for content-type data such as announcements, news, and research reports.
Design scalable unified data models and integration frameworks, handling different markets' trading calendars, time zones, currencies, security identifiers, listing relationships, lifecycles, and data corrections, supporting rapid onboarding of new markets and sources.
Build batch-stream unified data pipelines centered on Flink, continuously optimizing latency, throughput, query performance, stability, and cost, while supporting consumer trading products, research analysis, and AI scenarios.
Establish data quality and service level frameworks, taking responsibility for completeness, accuracy, timeliness, consistency, and traceability; build automated reconciliation, anomaly detection, monitoring and alerting, raw data replay, backfill, and fault recovery capabilities.
Evaluate different sources (vendors, exchanges, APIs, file feeds, compliance collection) for coverage, quality, stability, revision mechanisms, and technical fit; collaborate with product, procurement, legal, and compliance teams to clarify usage, display, derivative, retention, and redistribution boundaries; drive rational primary/backup source strategies and alternatives.
Define data semantics, metric definitions, and service contracts jointly with trading product, data platform, AI engineering, and algorithm teams, ensuring consistent and reliable usage of the same stock facts across different products.
Drive data engineering efficiency and technical quality improvements, including metadata, data lineage, automated testing, CI/CD, task orchestration, capacity governance, and AI-assisted development.

Requirements

Master's degree or above in Computer Science, Software Engineering, Mathematics, Statistics, or related field; 5+ years of experience in data development, big data, or data platforms.

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; able to explain the complete pipeline of at least one type of financial data from source to user-facing product and key quality risks.

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.

Bonus

Experience with stock data at brokerages, market data services, financial data, wealth management, or fintech platforms.

Familiarity with US stock market structure, trading calendars, pre/post-market sessions, corporate actions, and adjustment rules; experience with other stock markets also a plus.

Data experience with stock-related derivatives, ETFs, indices, or tokenized products.

Experience building low-latency market data pipelines, securities master data platforms, multi-market data models, quantitative research platforms, or large-scale backtesting data systems.

Experience with data anomaly detection, knowledge graphs, financial entity alignment, or building high-quality financial datasets for LLMs and retrieval-augmented generation (RAG).

Why Binance

Shape the future of finance
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Company

Binance

Runs a global cryptocurrency trading exchange

Binance runs a cryptocurrency exchange for individual traders and institutions, with markets for buying digital assets outright and trading contracts tied to their prices. Its platform combines spot trading with margin, futures, and options tools, letting users manage several trading strategies through a single account. Customers also buy crypto using supported payment methods, track market prices, and manage portfolios through its website and mobile app. Binance earns trading fees, with rates based on trading volume, account tier, and the type of transaction, and runs research and education services for people learning about digital assets. The business launched in July 2017.

Company size: 5,001-10,000
Company stage: Growth Equity (Venture Capital)
Total funding: $2B
Headquarters: Decentralised
Founded: 2017

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