The role
We are hiring a Data Engineer to design, build, and maintain scalable data pipelines and analytics infrastructure. You will work closely with product, engineering, and business teams to ensure reliable data collection, processing, storage, and reporting across multiple products and systems. This is a hands-on engineering role focused on data architecture, ETL pipelines, and analytics infrastructure.
What you'll do
- 01
Design and build scalable data pipelines for blockchain and Web3 applications
- 02
Develop ETL/ELT workflows to extract and process on-chain and off-chain data
- 03
Integrate data from blockchain networks, smart contracts, APIs, and external services
- 04
Build and maintain blockchain data indexing and processing systems
- 05
Process blockchain transactions, events, blocks, and token activity
- 06
Ensure data quality, consistency, accuracy, and reliability
- 07
Optimize data pipelines for performance, scalability, and high-volume processing
- 08
Develop data models supporting analytics, reporting, and business intelligence
- 09
Collaborate with blockchain, backend, product, and analytics teams
- 10
Monitor and troubleshoot data infrastructure and pipeline issues
- 11
Document data models, pipelines, and architecture decisions
What we're looking for
Must-have experience and skills for this role.
- 01
3+ years of experience in data engineering
- 02
Hands-on experience working with blockchain or Web3 data
- 03
Strong SQL and database design skills
- 04
Experience building ETL/ELT pipelines
- 05
Experience with Python or similar data processing languages
- 06
Understanding of blockchain architecture, transactions, blocks, and smart contract events
- 07
Experience extracting and processing data from Ethereum or EVM-compatible networks
- 08
Experience with blockchain RPC APIs, event logs, and on-chain data indexing
- 09
Understanding of data modeling, data warehousing, and distributed systems
- 10
Experience working with large datasets and high-volume data processing
- 11
Strong problem-solving and analytical skills
Nice to have
Experience with blockchain indexing tools such as The Graph or custom indexers
Experience with Kafka, streaming systems, or event-driven architectures
Knowledge of PostgreSQL, MongoDB, Redis, or analytical databases
Experience with cloud platforms (AWS, GCP, Azure)
Experience processing token, NFT, DeFi, or RWA-related data
Knowledge of analytics and BI platforms
Exposure to machine learning data pipelines
Tech stack
- Python
- SQL
- PostgreSQL
- MongoDB
- Redis
- Kafka
- AWS / GCP
- ETL / ELT
Why join
Work on modern Web3, RWA, and digital products
High ownership and visible product impact
Close collaboration with engineering, product, and design
Fast-paced environment with real production systems
Remote-friendly across global time zones
What success looks like
- 01
Reliable and scalable data pipelines in production
- 02
High-quality and accessible data across teams
- 03
Efficient reporting and analytics infrastructure
- 04
Optimized data processing and storage systems
- 05
Strong collaboration between engineering and business teams
Hiring process
- 01
Application review
- 02
Technical screening (SQL and data engineering discussion)
- 03
Practical exercise or architecture review
- 04
Final discussion
How to apply
We review every relevant profile. Keep it concise and concrete.
- Resume or LinkedIn
- GitHub profile or project portfolio (preferred)
- Examples of data pipelines, platforms, or engineering projects