Senior Backend Engineer (Web Scraping & Blockchain Analytics)

About Chainlabs

Chainlabs is a data startup focused on enabling web3 analytics. We specialize in identifying blockchain address ownership and tracking addresses linked to illicit activities. Our work supports industry leaders like Nansen, Chainalysis, and Arkham in their wallet labeling efforts.

Our primary clients include anti-money laundering (AML) service providers, as well as law enforcement, traders, and academic researchers. Backed by Lunar Rails (200 employees), Chainlabs maintains the agility and independence of a startup while benefiting from financial stability and strong industry connections.

Position Overview

We are seeking a Senior Back End Engineer to develop key data pipelines, including web scrapers, ETL workflows, and AI agents. Your work will enable us to extract critical data from clearnet and darknet platforms and power our blockchain intelligence solutions.

In this role, you’ll design high-performance systems that move data seamlessly into PostgreSQL and BigQuery environments. By tackling complex challenges in web scraping and data engineering, you’ll help us collect, organize, and analyze the web3 ecosystem at scale.

Key Responsibilities

• Web Scraping:
• Design and deploy web scrapers to extract data from complex websites like Etherscan, Arkham, ChainAbuse, etc.
• Implement data collection mechanisms with support for IP rotation, CAPTCHA handling, and dynamic content rendering.
• Help us build Crawlers and Scrapers to find hidden web3 wallets on the Darknet.
  
• Data Engineering:
• Build and maintain ETL pipelines to ingest scraped data into PostgreSQL or Bigquery.
• Classify the collected web3 wallets into predefined categories (e.g., Swap, Bridge, Scam, Ransomware) according to our taxonomy definitions.
  
• API Maintenance:
• Maintain and enhance Chainlabs API endpoints to provide seamless access to the data.
• Utilize Python frameworks (e.g., Flask) to support and extend RESTful APIs.
  
• Data Analytics:
• Use SQL to analyze on-chain data, ie, the behavior of collected wallets, their interaction with other entities, and other on-chain trends

• Proficiency in Python for data engineering, web scraping, API development; and databases like PostgreSQL.
• Experience with frameworks such as Scrapy, Selenium and BeautifulSoup.
• Understanding of advanced Web Scraping techniques, including IP rotation, proxy management, and CAPTCHA handling.
• Familiarity with modern AI models, APIs, and SDKs (e.g. OpenAI, LLMs).
• Hands-on experience with ETL orchestration tools like Apache Airflow
• Strong problem-solving and not afraid to work with a wide variety of data.
• Ability to work independently and meet deadlines in a remote environment.
• A passion for blockchain and web3 technologies. An interest in combatting financial cybercrime.
• Nice to Have: Familiarity with RESTful API development using Flask framework.
• Nice to Have: Strong experience with SQL and some exposure to Javascript.
• Nice to Have: Experience with on-chain analytics

• Competitive salary.
• Remote work environment with a flexible schedule.
• A team that values data and AI; our founder is a data scientist.
• A company culture that values transparency, speed, courage, and curiosity.
• Opportunities for fast personal and professional growth.
• Exposure to a global network of industry experts and partners.