Blockchain Data Engineering GuideUpdated monthly
Become a $196K+ blockchain data engineer
By Vincent Charles, ex-Binance and Morpho
Founder of Unchain Data- 125 pages
- 22 exercises
- 7 projects
- private GitHub repo
- PDF, ePub, Markdown
You're on the list. I'll email you on Nov 3.
What we cover
Why this guide
The best value in blockchain data engineering.
A full course's worth of material at a book's price. Self-paced, no cohort dates, no weekly sessions. $19 launch price from Nov 3 to Nov 17, then $49.
Hands-on from page one.
22 hands-on exercises, including 7 end-to-end projects. 19 run on free tools with no account.
The 2026 stack, not just Postgres.
ClickHouse with reorg-safe tables, Kafka and Redpanda streaming, Solana indexing, Ponder, rindexer and cryo, dbt or SQLMesh, Airflow or Dagster, BigQuery and Databricks.
Built on real hiring data.
489 live crypto data roles at 160 companies, from Unchain Data's job board (Oct 20, 2026). The guide ends with a career playbook built on it.
Buy once. Every new edition I publish is included at no extra cost. No subscription.
What's inside
14 chapters and 7 appendices, 125 pages.
See all 14 chapters and 7 appendices
- 1The 2026 hiring market for onchain data roles
- 2The onchain data model: EVM, Solana and Sui
- 3Research before you build: explorers, RPC and agent tools
- 4Client libraries and raw data access
- 5EVM indexing frameworks compared
- 6Solana indexing
- 7Streaming and real-time pipelines
- 8Storage, part 1: OLAP engines and operational databases
- 9Storage, part 2: warehouses, lakehouses and query engines
- 10Managed onchain data platforms: buy versus build
- 11Transformation: dbt, SQLMesh and modeling chain data
- 12Orchestration, operations and cost
- 13Analytics craft: SQL, metrics, dashboards and AI agents
- 14Career playbook: getting hired as a blockchain analytics engineer
Appendices: what changed in onchain data from 2025 to 2026, data methodology, comparison tables, licenses and attributions, glossary, sources, and how the examples were tested.
What you get
- The complete guide, 125 pages
- PDF, ePub and Markdown files
- Read access to a private GitHub repository with the code from the book: 22 hands-on exercises, including 7 end-to-end projects
- New editions included: every new edition I publish is included at no extra cost. No subscription.
Pricing
$19 launch price, Nov 3 to Nov 17
Then $49.
One-time payment. Every new edition included. Taxes calculated at checkout.
You're on the list. I'll email you on Nov 3.
Turbocharge your AI agents
The guide also comes as Markdown, so you can give it to your AI agent as context. It works with any AI agent that can read Markdown.
- Current best practices for blockchain data engineering
- Curated tools for indexing, streaming, storage and modeling
- Worked examples you and your agent can run
Blockchain data engineering course or guide?
Looking for a blockchain data engineering course? Here is how this self-paced guide compares with a typical instructor-led course, so you can pick what fits you.
| This guide | Typical instructor-led course | |
|---|---|---|
| Price | $19 launch price until Nov 17, then $49. One-time payment. | Varies widely, often a few hundred dollars per cohort. |
| Format | 125-page book (PDF, ePub, Markdown) plus a private GitHub repo | Live sessions, recorded lessons, or both |
| Pace | Self-paced. No start dates, no deadlines. | Fixed schedule with cohort start dates |
| Time | Read a chapter, run its lab, when it suits you | Often several hours a week for 7 to 10 weeks |
| Hands-on | 22 exercises, including 7 end-to-end projects. 19 run on free tools with no account. | Projects, often ending with a capstone |
| Stack | EVM and Solana indexing, ClickHouse, Kafka and Redpanda, dbt or SQLMesh, Airflow or Dagster | Depends on the syllabus |
| AI agents | Markdown files you can give to any AI agent that can read Markdown | Usually videos and slides |
| Instructors | Written guide. Questions and corrections by email to the author. | Live instructors, Q&A and office hours |
| Accountability | You set your own pace | Classmates and deadlines keep you on track |
| Best for | You know some SQL, and Python helps. You want the current stack on your own schedule. | You want live teaching, a set schedule and a certificate. |
Prefer live teaching? A course is a great choice. Want to learn on your own time and keep a reference you can reuse? The guide is built for that.
You're on the list. I'll email you on Nov 3.
Vincent Charles
Founder of Unchain Data
Previously Data and BI Lead at Binance and Morpho
- CEX strategy supported
- $160B+
- DeFi TVL analyzed
- $5B+
- Web3 protocols & funds advised
- 6+
I run Unchain Data and work as a fractional data lead for crypto teams.
Before that I led data and BI at Binance and at Morpho, where I built both functions from zero.
I built WizardCamp, the first web app to learn blockchain analytics with SQL. This guide is the next step, for analysts who want to go further and for engineers who want to stay current in crypto data.
Corrections and questions: vincent@unchaindata.xyz
Want to learn blockchain analytics instead?
WizardCamp teaches onchain SQL step by step, in your browser.
Real market demand
- open data engineer roles
- 84
- companies hiring data engineers
- 40
- median advertised salary, data engineer rolesBased on 37 postings with a salary range, Nov 2026.
- $196k
Source: Unchain Data's job board
Browse data engineer jobs
When can I buy it?
On November 3, 2026. The $19 launch price runs from Nov 3 to Nov 17, then the price is $49.
How is it delivered?
Right after payment you get an email with your receipt and the downloads (PDF, ePub and Markdown). To get the code repository, reply with your GitHub username and I will send your invite within 24 hours.
How do new editions work?
The guide is dated by edition (2026.10, then the next one). When the tools change, I update the guide and the code together.
Every new edition I publish is included at no extra cost. No subscription.
Do I need a GitHub account?
Only for the repository. The downloads work without one.
Do I need to know crypto already?
No. You need basic SQL, and Python helps. Chapter 2 explains how chain data is structured.
Is this financial or investment advice?
No. It is a technical guide for data engineers and analysts. It does not cover trading or investing.
Is this a blockchain data engineering course?
Not a live course. It is a 125-page guide with a private GitHub repo of 22 hands-on exercises, including 7 end-to-end projects.
You learn at your own pace, with no sessions or deadlines.
How do I become a blockchain data engineer?
Start with solid SQL and some Python. Then learn how chain data is structured, how to index it, and how to store, model and orchestrate it.
The guide follows that path over 14 chapters and ends with a chapter on getting hired, built on Unchain Data's job board.
How long does it take to learn blockchain data engineering?
It depends on your background. There is no fixed timeline: each chapter comes with its lab, and the analyst, analytics engineer and data engineer paths each list their chapters and hands-on time.
Do I get a certificate?
No, the guide does not include a certificate. If a certificate matters to you, an instructor-led course is a better fit.
Is blockchain data engineering the same as onchain analytics?
No. Onchain analytics is about querying and reading chain data. Blockchain data engineering builds the pipelines, storage and models underneath.
To start with analytics, try WizardCamp, which teaches onchain SQL in your browser.
Is this for analytics engineers or data engineers?
Both. The book has three paths: analyst, analytics engineer and data engineer. Each path lists its chapters and its hands-on time.
How do I contact you?
Email vincent@unchaindata.xyz.