Senior Software Engineer – DataPilot

Software Engineer III – Data Pilot – Data Solutions

Fact Set creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At Fact Set, our values guide how we act and operate, and they play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.

Join the Data Pilot team at Fact Set, where our mission is to transform our users’ natural language queries into actionable insights using our generative AI platform. At the core of the Data Pilot infrastructure is a knowledge graph that connects financial concepts to the data available in Fact Set. Engineers on the team maintain and enhance a GenAI‑powered software stack that operates at the intersection of financial data, knowledge management, and data engineering.

Team size: 3 software engineers. We are hiring 2 new members.

Technical stack:
Python, SQL, AWS, Terraform, CI/CD, GenAI, RAG.

• Enhance the knowledge graph model to improve answer quality on complex queries.
• Integrate additional datasets into Data Pilot based on user workflow needs.
• Design, implement, and deploy Data Pilot services and infrastructure.
• Monitor and enhance the accuracy, performance, and observability of our GenAI RAG stack.
• Evaluate new large language models, tools, and AI engineering techniques.
• Improve query planning, optimisation, and evaluation infrastructure.
• Partner and collaborate with product development leads to identify technical requirements for future product enhancements.

• 3+ years of experience with Python.
• 1+ year of experience on projects including GenAI, RAG systems, MCP, or agentic AI.
• Familiarity with relational databases and data modelling techniques (SQL).
• Familiarity with API design and working in distributed systems.

• CI/CD pipelines.
• Machine Learning.

Bachelor’s degree in computer science, computer engineering, or a similar technical field, or equivalent practical experience.

Fact Set (NYSE:

FDS | NASDAQ:

FDS) helps the financial community see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy‑side and sell‑side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next‑generation workflow solutions, and client‑centric specialized support.

As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner.

At Fact Set, we celebrate differences of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology

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