Staff/Senior Staff Web3 Big Data Engineer

Posted Yesterday
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2 Locations
In-Office or Remote
Senior level
Fintech • Financial Services • Cryptocurrency
The Role
Design and own large-scale Web3 big data platform and pipelines (real-time and batch), maintain data warehouse/lake, integrate AI/LLM capabilities (RAG, embeddings, Text2SQL), collaborate with AI, product, risk and growth teams, and optimize performance, reliability, and data quality for on-chain analytics and ML use cases.
Summary Generated by Built In
Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Pay, OKX Wallet, OKLink and more.

Responsibilities
  • Platform Architecture: Own the architecture, development, and optimization of our big data platform, supporting large-scale collection, processing, and analysis of on-chain data, trading behavior, and user profiles.
  • On-Chain Data Pipelines: Design and build real-time/batch data pipelines for on-chain data — blockchain transactions, smart contract events, wallet address behavior.
  • Data Warehouse & Lake: Build and maintain the data warehouse/lake, define data-layering standards, and ensure data quality, consistency, and timeliness.
  • AI-Driven Data Applications: Combine big data with LLM capabilities to build intelligent applications — on-chain anomaly/fraud detection, smart risk models, user behavior prediction, and natural-language data querying (Text2SQL).
  • AI Infrastructure: Build data infrastructure for AI use cases — vector databases, feature platforms, and Embedding pipelines supporting RAG retrieval and Agent data supply.
  • Cross-Team Collaboration: Partner with Algorithm/AI teams on large-scale data processing and pipelines for model training data and feature engineering; partner with Product, Risk, and Growth teams on data needs for trading analytics, anti-fraud, growth, and operations.
  • Performance & Reliability: Optimize performance and resource efficiency of big data jobs, ensuring stability and SLAs on core pipelines.
  • Technical Direction: Track industry developments in big data, Web3 data infrastructure, and AI, driving technology selection and architecture evolution.
  • Global Collaboration: Communicate and document in English with overseas colleagues and partners (exchanges, public chain teams, etc.).
RequirementsBig Data Engineering
  • Bachelor's degree or above in Computer Science, Software Engineering, or related field; 7+ years of big data development experience.
  • Proficiency with Hadoop, Spark, and Flink, with experience building batch/real-time data warehouses.
  • Familiarity with Hive, Kafka, HBase, ClickHouse, and Doris, with large-scale cluster tuning experience.
  • Strong big data development skills in Java/Scala/Python, with solid SQL tuning ability.
  • Experience with data governance, data quality monitoring, or metadata management is a plus.
AI Capabilities
  • Understanding of LLM fundamentals and application patterns, with hands-on experience in prompt engineering and RAG.
  • Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) or Embedding data processing.
  • Familiarity with emerging AI application architectures such as AI Agents or MCP (Model Context Protocol) is a plus.
  • Experience connecting big data platforms with AI/ML training and inference pipelines (e.g. feature platforms, real-time feature serving).
  • Experience using LLMs to accelerate data engineering (automated data quality checks, intelligent ETL generation, Text2SQL) is a plus.
  • Basic ML/deep learning knowledge and ability to collaborate effectively with algorithm teams is a plus.
Web3 Industry Knowledge
  • Understanding of blockchain fundamentals (account model/UTXO, consensus mechanisms, gas mechanics).
  • Understanding of on-chain data structures for major public chains (Ethereum, BSC, Solana, Bitcoin, etc.) — blocks, transactions, event logs, token transfers (ERC-20/ERC-721).
  • Experience with on-chain data collection/parsing is a plus — e.g. building or integrating with The Graph, Dune, Etherscan API, or node RPCs.
  • Understanding of DeFi, NFT, or cross-chain bridge business models and their data characteristics is a plus.
  • Data engineering experience at an exchange, wallet, DeFi protocol, or on-chain analytics company is a plus.
Language & Soft Skills
  • Fluent English reading/writing; able to independently read English technical documentation (e.g. Ethereum Yellow Paper, RFCs/EIPs, AI papers) and write technical proposals and weekly reports in English.
  • Able to communicate in English with overseas teams, communities, or partners, with strong cross-cultural communication skills.
  • Clear logical thinking, strong problem decomposition and troubleshooting ability, and a strong appetite for learning new AI technology.
  • Strong team player, able to deliver consistently in a fast-paced, high-uncertainty Web3 environment.
Nice-to-Haves
  • Basic smart contract knowledge (Solidity); able to read contract code logic.
  • Contribution experience in open-source big data / blockchain data / AI infrastructure projects.
  • Relevant technical certifications (e.g. AWS/GCP big data or AI certifications).
  • Experience using AI coding agents (e.g. Claude Code) to improve data engineering efficiency.
Perks & Benefits
  • Competitive total compensation
  • Comprehensive insurance coverage for employees and their dependants
  • More that we love to tell you along the process!
Notice:
All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

Skills Required

  • Bachelor's degree or above in Computer Science, Software Engineering, or related field
  • 7+ years of big data development experience
  • Proficiency with Hadoop, Spark, and Flink
  • Experience building batch and real-time data warehouses
  • Familiarity with Hive, Kafka, HBase, ClickHouse, and Doris and large-scale cluster tuning
  • Strong big data development skills in Java, Scala, and/or Python
  • Solid SQL tuning and optimization ability
  • Understanding of LLM fundamentals and hands-on experience in prompt engineering and RAG
  • Experience with vector databases or embedding data processing (e.g., Milvus, Pinecone, Weaviate, pgvector)
  • Experience connecting big data platforms with AI/ML training and inference pipelines (feature platforms, real-time feature serving)
  • Understanding of blockchain fundamentals (account model/UTXO, consensus, gas mechanics)
  • Understanding of on-chain data structures for major public chains (blocks, transactions, event logs, token transfers)
  • Fluent English reading and writing; ability to produce technical proposals and documentation in English

OKX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OKX and has not been reviewed or approved by OKX.

  • Fair & Transparent Compensation Pay is considered competitive or above market, especially in engineering, product, and legal roles across major hubs. This positioning is consistently cited as a major attraction for candidates.
  • Healthcare Strength Role descriptions indicate comprehensive medical, dental, vision, life, and disability coverage, with employer-paid premiums in some cases. Health coverage is highlighted alongside core benefits like PTO and parental leave.
  • Wellbeing & Lifestyle Benefits Allowances for education and fitness, meal perks and snacks, team-building budgets, and structured learning programs are described across locations. These extras enhance the total rewards package beyond base pay.

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The Company
HQ: Singapore
1,073 Employees
Year Founded: 2017

What We Do

Founded in 2017, OKX is one of the world’s leading cryptocurrency spot and derivatives exchanges. OKX innovatively adopted blockchain technology to reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 20 million users in over 180 regions globally, OKX strives to provide an engaging platform that empowers every individual to explore the world of crypto. In addition to its world-class DeFi exchange, OKX serves its users with OKX Insights, a research arm that is at the cutting edge of the latest trends in the cryptocurrency industry. With its extensive range of crypto products and services, and unwavering commitment to innovation, OKX’s vision is a world of financial access backed by blockchain and the power of decentralized finance.

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