Job Title:

Data Research Engineer – Data Extraction Team

Experience:

4+ Years

Location:

Chennai or Remote (India)

About Forbes Advisor

Forbes Advisor is a recent initiative under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news, and reviews on personal finance, health, business, and everyday life decisions.

Our mission is to help readers turn their aspirations into reality by arming them with trusted advice and data-driven insights, enabling them to make confident decisions and focus on what matters most.

The Marketplace team brings decades of industry experience across geographies and functions including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology, and Sales, with expertise in diverse sectors such as consumer credit, banking, insurance, small business, education, real estate, and travel.

About the Data Extraction Team

The Data Extraction Team plays a crucial role in designing, implementing, and maintaining advanced web scraping frameworks and data pipelines.



The team develops methodologies to gather precise, high-quality data from a wide range of digital sources and ensures its seamless integration into internal systems through ETL (Extract, Transform, Load) processes.

This team also explores the integration of Artificial Intelligence (AI) and Large Language Models (LLMs) to automate and enhance data extraction, processing, and analysis workflows.

Role Overview

The Data Research Engineer will help shape how Forbes Advisor leverages AI and LLM technologies to streamline data operations, optimize research workflows, and build intelligent, scalable data systems.

This is a forward-looking role that combines elements of Data Engineering and AI/LLM Engineering. The ideal candidate is a creative problem-solver who proactively explores emerging technologies and identifies cutting-edge ways to harness their potential for business impact.

Key Responsibilities

-
Develop and implemen

📌 Forbes Advisor (India)
🏢 NextHire
📍 India