Data Research Engineer – Data Extraction Team
Experience:4+ Years
Location:Chennai or Remote (India)
About Forbes AdvisorForbes Advisor is a new 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 TeamThe 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 OverviewThe 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 innovative ways to harness their potential for business impact.
Key ResponsibilitiesDevelop and implement methods to leverage AI and LLMs (Large Language Models) for process automation and data research efficiency.
Proactively identify new AI/LLM-based solutions to streamline operations and improve data workflows.
Act as a visionary for AI/LLM adoption, anticipating future technological developments and preparing the team to capitalize on them early.
Assist in acquiring and integrating data from multiple sources, including web crawling, APIs, and other data pipelines.
Design and optimize ETL workflows to ensure high-quality data availability for downstream analysis.
Explore and evaluate third-party tools for modernizing legacy data systems and enhancing scalability.
Collaborate cross-functionally with content, research, and analytics teams to understand and fulfill data requirements.
Ensure timely delivery of project milestones in a fast-paced, dynamic environment.
Support and collaborate with fellow engineers on the Data Research and Extraction Team.
Utilize online technical resources effectively (e.g., StackOverflow, ChatGPT, Bard) while understanding their limitations.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (advanced degree is a plus).
Minimum 4+ years of experience in Data Engineering, AI/ML Engineering, or related fields.
Strong proficiency in Python for data manipulation, automation, and API integration.
Experience in AI/ML engineering and data extraction workflows.
Proficiency in implementing Retrieval-Augmented Generation (RAG) pipelines using tools such as ChromaDB or Pinecone.
Experience with agentic AI platforms (e.g., CrewAI, LangChain) for modular and autonomous task execution.
Hands-on experience working with LLMs, including prompt engineering and mitigation of model “hallucinations.”
Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
Exposure to NLP frameworks (spaCy, NLTK, Hugging Face, etc.).
Understanding of SQL and data querying (a plus).
Familiarity with web crawling techniques and API integration (a plus).
Experience using version control tools such as Git for collaborative development.
Strong problem-solving, analytical, and critical-thinking skills.
Excellent communication and teamwork abilities.
Ability to thrive in a high-growth environment with shifting priorities.
Experience managing or mentoring AI/LLM-focused teams is a plus.
Familiarity with Agile development methodologies (a plus).
Day off on the 3rd Friday of every month (one long weekend each month)
Monthly Wellness Reimbursement Program to promote health and well-being
Monthly Office Commutation Reimbursement Program
Paid Paternity and Maternity Leave
This position blends Data Engineering and AI/LLM Engineering expertise, focusing on data acquisition, pipeline automation, and intelligent AI-driven workflows.
Ideal for candidates with 4+ years of experience in building scalable data systems, integrating AI/LLM technologies, and driving innovation in data operations.
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