Find remote SQL opportunities in Web3, blockchain, and crypto
SQL is fundamental for querying blockchain data stored in indexed databases, analytics platforms, and data warehouses. Web3 analysts use SQL with tools like Dune Analytics to extract insights from on-chain activity, protocol metrics, and market data.
Be discoverable by Web3 companies we work with
Leading blockchain and crypto companies hiring for SQL positions right now
Average annual salaries based on 160 open positions with published compensation
| Experience Level | Roles Analyzed | Average Salary |
|---|---|---|
| Entry Level | 2 | $179K |
| Mid Level | 82 | $188K |
| Senior | 45 | $168K |
| Lead / Principal | 31 | $203K |
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645 jobs found
645 jobs found (page 1 of 33)
Common questions about SQL careers in Web3 and blockchain
The top categories hiring for sql right now are Engineering (221 jobs), Data & Analytics (128 jobs), Operations (58 jobs). SQL is used to query indexed blockchain data on platforms like Dune Analytics, analyze on-chain activity in data warehouses, and manage relational databases backing dApps and exchanges. Web3 analysts write complex SQL queries to track protocol metrics, user behavior, and market trends from blockchain data.
Based on 152 current positions with published compensation, annual salaries for sql roles average $137K–$233K. The full range spans $50K to $1000K. Data analysts with SQL skills in Web3 earn $80K-$130K at mid-level and $130K-$200K+ for senior analysts or analytics engineers. Analysts who combine SQL proficiency with deep understanding of on-chain data structures and DeFi mechanics command higher compensation.
27% of the 645 open sql positions are fully remote. Teams are hiring from 5 countries including United States, India, Remote. Yes, data analysis and analytics roles are highly remote-friendly. SQL-based analysis work is inherently asynchronous, and crypto companies actively recruit data professionals globally.
With 645 open positions, demand for sql skills in Web3 remains strong. Learn Dune Analytics SQL for querying decoded blockchain data, understand Ethereum's data model (transactions, logs, traces), and practice writing queries that track token transfers, DEX volume, and protocol revenue. Familiarity with how blockchain indexers (The Graph, Goldsky) structure data in SQL-compatible formats is also valuable.
