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Description:
Chainlabs is a data startup focused on enabling web3 analytics, specializing in identifying blockchain address ownership and tracking addresses linked to illicit activities.
The company supports industry leaders like Nansen, Chainalysis, and Arkham in their wallet labeling efforts.
Primary clients include anti-money laundering (AML) service providers, law enforcement, traders, and academic researchers.
The company is backed by Lunar Rails, providing financial stability while maintaining the agility and independence of a startup.
The Senior Backend Engineer will develop key data pipelines, including web scrapers, ETL workflows, and AI agents to extract critical data from clearnet and darknet platforms.
The role involves designing high-performance systems to move data into PostgreSQL and BigQuery environments.
Responsibilities include web scraping, data engineering, API maintenance, and data analytics.
Requirements:
Proficiency in Python for data engineering, web scraping, API development, and databases like PostgreSQL is required.
Experience with frameworks such as Scrapy, Selenium, and BeautifulSoup is necessary.
Understanding of advanced web scraping techniques, including IP rotation, proxy management, and CAPTCHA handling is essential.
Familiarity with modern AI models, APIs, and SDKs (e.g., OpenAI, LLMs) is required.
Hands-on experience with ETL orchestration tools like Apache Airflow is necessary.
Strong problem-solving skills and the ability to work with a wide variety of data are essential.
The candidate must be able to work independently and meet deadlines in a remote environment.
A passion for blockchain and web3 technologies, along with an interest in combatting financial cybercrime, is required.
Nice to have: Familiarity with RESTful API development using the Flask framework.
Nice to have: Strong experience with SQL and some exposure to JavaScript.
Nice to have: Experience with on-chain analytics.
Benefits:
The position offers a competitive salary.
Employees enjoy a remote work environment with a flexible schedule.
The team values data and AI, with the founder being a data scientist.
The company culture emphasizes transparency, speed, courage, and curiosity.
There are opportunities for fast personal and professional growth.
Employees gain exposure to a global network of industry experts and partners.