DeFi Orbit is hiring a
Blockchain / Data Engineer

Compensation: $40k - $60k

Location: Remote

About DeFi Orbit

 
Simplifying multi-chain DeFi portfolio management with intelligent analytics and real-time tracking
 
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.
 

The Role

 
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).
 
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.
 

What You'll Do

 

  • 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

Required Qualifications

 
Experience:
 

  • 5-8 years of deep technical experience
  • Minimum 3 years of proven DeFi/blockchain experience
  • 5+ years overall software engineering experience

Blockchain Expertise:
 

  • 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:
 

  • 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:
 

  • 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:
 

  • Ability to own features end-to-end
  • Strong research and analytical capabilities
  • Excellent problem-solving skills
  • Clear communication and documentation

Bonus Qualifications

 

  • 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

What Makes You Stand Out

 

  • 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


Apply Now:

Compensation: $40k - $60k

Location: Remote


Receive similar jobs:

Remote Solidity Developer Jobs

Job Position and Company Location Tags Posted Apply
Remote
Apply
Remote
Apply

Remote

Apply

Remote

Apply

Remote

Apply
New York, United States
Apply

Remote

Apply
Remote
Apply

Recommended Solidity Developers for this job

/@ccdev

Ccdev



See Profile
/@ad3sh

Ad3sh



See Profile
/@whitehare2023

Whitehare2023



See Profile
/@0xbuns

0xbuns



See Profile
/@rassenguy

Rassenguy



See Profile
Cover Letter / AI Interview