FactSet

Senior Software Engineer (Python & Agentic AI)

FactSet$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6-9 years of professional software engineering experience
  • Strong full stack development experience with Python, VueJS/Typescript, and PostGreSQL
  • Solid system design and architecture background for production-grade systems
  • Experience with data-intensive, workflow-driven, or service-oriented platforms
  • Excellent communication and team collaboration skills

Responsibilities

  • Design and develop scalable software solutions to enhance operational efficiency
  • Lead implementation of automation and tooling initiatives
  • Contribute hands-on to complex codebases and critical workflows
  • Work with Product Management and other engineering teams to develop technical solutions
  • Participate in design reviews to ensure scalable architecture
  • Engage with clients to understand service workflows and requirements
  • Mentor fellow engineers on code quality and best practices

Benefits

  • Join a leading S&P 500 company with a culture of entrepreneurial spirit
  • Comprehensive support for health, life, and disability insurance
  • Flexible work arrangements to support work/life harmony
  • Commitment to volunteerism and sustainability initiatives
  • Career growth opportunities with dedicated learning and development time
  • Participation in Business Resource Groups for connection and belonging
Full Job Description
The Services organization focuses on evolving FactSet's global service delivery model by streamlining operational workflows and improving data quality, transparency, and efficiency. This includes core platforms such as Portfolio Reconciliation Utility, Portfolio Health, Lifecycle Dashboards, and Portfolio Services Dashboards-foundational capabilities that support FactSet's growing Managed Services and Portfolio Services business.

The Services Engineering team builds and operates workflow- and data-intensive platforms that provide transparency into data processing pipelines, ensure data accuracy and completeness, and deliver reliable, presentation-ready outputs at scale.

We are seeking a Senior Software Engineer to join our Services Engineering team as a senior individual contributor. This role focuses on improving Services efficiency by building scalable platforms and tooling that help automate workflows and scale the Services platform. The ideal candidate combines strong hands-on engineering skills with architectural thinking and the ability to lead through technical influence.

As a key member of the team, you will collaborate closely with the FactSet AI group, working with cutting-edge agentic technologies to deliver our Services Agent workflow. You'll leverage your deep engineering expertise and architectural vision to influence technical decisions, shape best practices, and mentor fellow engineers.

What You'll Do
  • Design, build, and evolve scalable software solutions and tooling to improve operational efficiency and scalability across the Services platform
  • Design and implement an evaluation framework for MCP servers and tools in the Services ecosystem
  • Lead technical implementation of automation and tooling initiatives that support growth of managed and operational services
  • Contribute hands-on to complex codebases, system integrations, and critical production workflows
  • Partner with Product Management, Operations, and other engineering teams to translate business needs into effective technical solutions
  • Participate in technical design reviews and help guide architectural decisions to ensure maintainability and long-term scalability
  • Collaborate with clients and internal stakeholders to understand service workflows, constraints, and evolving requirements
  • Mentor and support other engineers through code reviews, technical guidance, and best practice sharing
  • Help drive engineering excellence around code quality, testing, reliability, and operational best practices


What We're Looking For

Required Skills
  • 5+ years of professional software engineering experience
  • Strong hands-on full stack development experience with Python, VueJS/Typescript, PostGres or similar relational database
  • Familiarity with LangChain, LangSmith, or similar AI frameworks.
  • Familiarity with MCP protocol implementation and related standards.
  • Solid foundation in system design and architecture for scalable, production-grade systems
  • Experience building or operating data-intensive, workflow-driven, or service-oriented platforms
  • Strong understanding of data structures, algorithms, and software engineering principles
  • Strong communication skills and ability to collaborate effectively across teams


Desired Skills
  • Experience designing and building chat-based interfaces, agent-driven systems, or conversational workflows
  • Experience with C#, NodeJS
  • Familiarity with patterns for orchestration, automation, and event-driven systems
  • Familiarity with cloud-native architectures and modern data platforms
  • Experience designing tooling to improve operational efficiency
  • Experience working in Agile development environments


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.

About FactSet

FactSet Research Systems Inc. provides integrated financial information and analytical applications to the investment community in the United States, Europe, and the Asia Pacific. The company delivers insight and information to investment professionals through its analytics, services, contents, and technologies. Its applications suite offers tools and resources, including company and industry analyses, full screening tools, portfolio analysis, risk profiles, alpha-testing, portfolio optimization, and research management solutions. The company was founded in 1978 and is headquartered in Norwalk, Connecticut.
Learn more about FactSet
Size
10,691 employees
Market Cap
$15 billion
Industry
Net Income
$380.1 million
Founded
1978
5 Year Trend
+8.6%
Revenue
$1.5 billion
NASDAQ

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