| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
DeFi Orbit | Remote | $40k - $60k | |||
Alpaca | Remote | $98k - $100k | |||
Anchorage Digital | United States | $84k - $100k | |||
Bcbgroup | Remote | $62k - $64k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Myshell | Remote | $98k - $110k | |||
Gsrmarkets | Remote | $80k - $95k | |||
Chainalysis | India | $79k - $99k | |||
Blockchain | Remote | $84k - $109k | |||
Bitgo | Remote | $95k - $111k | |||
Ledger | Paris, France | $50k | |||
Kraken | United States | $96k - $192k | |||
Certified | New York, NY, United States | $80k - $93k | |||
Binance | Taipei, Taiwan |
| |||
Zenith | Remote |
| |||
Binance | Brisbane, Australia |
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Simplifying multi-chain DeFi portfolio management with intelligent analytics and real-time tracking
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DeFi Orbit is at the forefront of blockchain data infrastructure, building high-performance systems that power real-time DeFi analytics and applications. We're looking for exceptional engineers who combine deep blockchain knowledge with data engineering expertise.
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We're seeking a highly skilled Full-Stack Blockchain/Data Engineer who thrives at the intersection of blockchain technology and data engineering. You'll architect and build high-throughput indexers, real-time data pipelines, and conduct deep research into various DeFi protocols across multiple blockchain ecosystems (EVM, Solana, SUI).
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This is a role for engineers who want to work on complex technical challenges at scale, diving deep into blockchain infrastructure while building production-grade data systems.
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- Design and build high-throughput blockchain indexers for multiple chains (EVM, Solana, SUI)
- Architect real-time data pipelines processing millions of blockchain events
- Research and integrate various DeFi protocols (Uniswap, Orca, Aave, and others)
- Build full-stack features from UI to database, owning the complete technical stack
- Design schemas and scale databases (PostgreSQL, ClickHouse) for blockchain data
- Develop microservice-based applications using Kafka and Redis
- Handle complex scenarios like chain reorganizations, backfills, and data quality assurance
- Optimize data ingestion and processing for performance and reliability
Experience:
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- 5-8 years of deep technical experience
- Minimum 3 years of proven DeFi/blockchain experience
- 5+ years overall software engineering experience
Blockchain Expertise:
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- Deep understanding of blockchain internals: nodes, mempools, RPCs
- Expert knowledge of smart contracts, logs/traces, and event models
- Experience working with multiple chains (EVM, Solana, SUI)
- Understanding of DeFi protocol mechanics and intrinsics
Data Engineering:
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- Large-scale data ingestion and processing
- Change Data Capture (CDC) systems
- Backfill strategies and implementation
- Blockchain reorganization handling
- Data quality frameworks and monitoring
Technical Stack:
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- Fluent in TypeScript (this is critical)
- Strong experience with Next.js and Nest.js
- Full-stack capability - comfortable across frontend and backend
- Expert-level PostgreSQL (schema design, scaling, management)
- Experience with ClickHouse database
- Proven ability architecting with Kafka and Redis
- Strong understanding of data structures and algorithms
Soft Skills:
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- Ability to own features end-to-end
- Strong research and analytical capabilities
- Excellent problem-solving skills
- Clear communication and documentation
- Experience with Subsquid or TheGraph
- Deep understanding of AMM and lending mathematics
- Solana or SUI smart contract development
- Experience with other blockchain data indexing solutions
- You've built production blockchain indexers or data pipelines
- You can explain complex DeFi protocols and their data models
- You have experience optimizing high-throughput distributed systems
- You've handled petabyte-scale blockchain data
- You contribute to open-source blockchain projects
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.