FactSet 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 FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and 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.
Your Team Impact
We are looking for a talented and motivated Software Engineer to join our Buyside Services Engineering team. In this role, you will serve as an individual contributor responsible for building, enhancing, and maintaining a suite of industry-leading products that power FactSet's Portfolio Services and Managed Services business.
You will work closely with cross-functional teams including Product Development, Analytics Engineers, and Team Leads to deliver high-quality, performant, and scalable software solutions that drive transparency, data integrity, and operational efficiency for our clients.
The Buyside Services Engineering team drives the evolution of workflow and process monitoring tools that are critical to FactSet's managed and co-sourced operating model offerings.
Our products provide:
- End-to-end transparency from client data integration to processed data consumption
- Data validation and accuracy assurance at every stage of transformation and enrichment
- Presentation-ready outputs for performance, risk, and reporting operations
- Managed Services capabilities that shift the burden of data and process management from clients to FactSet's domain experts
Through continuous innovation and dedicated expertise, we empower clients to focus on their core competencies while we ensure the integrity, timeliness, and quality of their analytical operations.
What You'll Do
- Design and develop new features and enhancements
- Maintain and resolve bugs in existing applications
- Collaborate with Product Development to understand business requirements and translate them into robust technical solutions
- Participate in technical design discussions with fellow Analytics Engineers
- Champion best practices within the team and contribute to code reviews, documentation, and test plans
- Exceptional ability to explain complex technical subjects and influence technical direction with diverse audiences.
What We're Looking For
- 5-8 years of hands-on software engineering industry experience
- B.Tech / M.Tech in Computer Science or equivalent educational background
- Experience with LLM evaluation frameworks — including DeepEval, LangSmith— to measure model quality, run regression tests, and monitor agent behavior in production
- Architect and build multi-agent systems — designing agent roles, memory management, tool orchestration, and inter-agent communication using frameworks like LangGraph
- Expert in prompt engineering — including few-shot prompting, chain-of-thought, ReAct patterns, tool-use and function calling, and building robust NLP/NLU workflows for production agentic systems
- Experience building, deploying, or orchestrating ML/AI or data pipelines on Databricks (Data Engineering, MLflow, collaborative workflows, jobs).
- Design, fine-tune, and deploy small and open-source large language models (LLMs) such as Llama, Mistral, OpenAI GPT, etc.
- Python proficiency with a strong track record of building production-grade, client-facing systems
- Strong understanding software design patterns
- Solid database design skills — with hands-on expertise in PostgreSQL, including schema design, query optimization, indexing strategies, and working with relational and non realational data models at scale
- Practical experience with Cloud services like SQS, Lambda, and ECS
Good to have
- Design and implement RAG (Retrieval-Augmented Generation) pipelines — including document ingestion, chunking strategies, embedding generation, and integration with vector databases such as pgvector, Weaviate, or ChromaDB
- Experience with service-oriented architecture and microservices design.
- Understanding of distributed systems and handling failures gracefully across service boundaries.
- Experience working with large-scale data systems and balancing latency, throughput, and cost.
- Background with rate limiting, throttling, and client quota management.
- Experience implementing caching strategies for query results and metadata.
- Experience designing parallel and asynchronous workflows to maximize throughput and resource utilization across distributed or multi-core environment.
What's In It For You
At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:
- The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.
- Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.
- Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
- A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.
- Career progression planning with dedicated time each month for learning and development.
- Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.
Learn more about our benefits here.
Company Overview:
FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to 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. Learn more at www.factset.com and follow us on X and LinkedIn.
At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
Skills Required
- 5-8 years of hands-on software engineering industry experience
- B.Tech, M.Tech in Computer Science, or equivalent educational background
- Experience with LLM evaluation frameworks, including DeepEval and LangSmith
- Experience architecting and building multi-agent systems using frameworks such as LangGraph
- Expertise in prompt engineering, including few-shot prompting, chain-of-thought, ReAct patterns, tool use, function calling, and NLP/NLU workflows
- Experience building, deploying, or orchestrating ML/AI or data pipelines on Databricks
- Experience designing, fine-tuning, and deploying small or open-source LLMs such as Llama, Mistral, or OpenAI GPT
- Strong Python proficiency and experience building production-grade, client-facing systems
- Strong understanding of software design patterns
- Hands-on PostgreSQL database design, query optimization, indexing, and relational and non-relational data modeling at scale
- Practical experience with cloud services such as SQS, Lambda, and ECS
- Experience designing and implementing RAG pipelines and integrating vector databases such as pgvector, Weaviate, or ChromaDB
- Experience with service-oriented architecture and microservices design
- Understanding of distributed systems and failure handling across service boundaries
- Experience with large-scale data systems and balancing latency, throughput, and cost
- Experience with rate limiting, throttling, and client quota management
- Experience implementing caching strategies for query results and metadata
- Experience designing parallel and asynchronous workflows
Factset Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Factset and has not been reviewed or approved by Factset.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical, dental/vision in some descriptions, and life and disability insurance. Company-wide wellness days and region-specific add-ons (e.g., Vitality PMI, Bupa dental, Health Shield cashback) further reinforce a strong health-and-wellbeing offering.
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Retirement Support — Retirement savings support is consistently included as part of the core package through retirement savings plans. The presence of these programs is framed as a meaningful component of total rewards beyond base salary.
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Equity Value & Accessibility — An employee stock purchase program is highlighted as a standard part of the total rewards package. This provides a pathway to share ownership alongside cash compensation.
Factset Insights
What We Do
FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. For 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 60 offices in 23 countries, we’re all working together toward the goal of creating value for our clients, and we’re proud that 95% of asset managers who use FactSet continue to use FactSet, year after year. As big as we grow, as far as we reach, and as successful as we become, we stay connected to our clients and to each other.
