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Senior Realtime Software Engineer - (Python-Data Engineering)

FactSetFactSet·Financial Services

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Posted

18 days

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About the role

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's Impact  

 

Realtime Marketdata Engineering is responsible for integration of all real time or intraday content at FactSet. This includes real time stock exchange feeds as well as real time reference data , OTC and End of the day Prices. This data is delivered to our clients for use within the FactSet Workstation or other internal applications. Realtime Marketdata Engineering has a global presence across multiple regions.  

 

Pricing team is responsible for  Building and developing robust , low latency , resilient delivery mechanism of Reference data and End of the Prices across all the content data sets.

What You'll Do  

  • Design , Architect and develop delivery mechanism of large data sets in Realtime. 
  • Develop and maintain tools/web-apps to operate on huge data content fetched from different content sets 
  • Work closely with product development team and Product management 
  • Work independently and deliver in a deadline focused environment
  • Design and develop low latency , resilient system and services 
  • Manage production releases, bug fixes and respond to outages in a time critical fashion 
  • Participate in peer code reviews, maintaining project/operational documentation and help with training/coaching of less experienced team members.
  • Responsible for planning and performing all assigned jobs in an efficient manner without guidance
  • Successfully completes multi-step projects with less-well-defined problem definitions
  • Leads distinct engineering projects independently
  • Contributes in a technical design capacity within their project area
  • Acts as a resource to others; collaborates effectively with other engineers and cross-functional teammates
  • Communicates effectively with project stakeholder

 

What We're Looking For 

  • 5+ years of software development experience using Python.

  • Hands‑on experience with large datasets, data modeling, data lakes, or data engineering workflow.
  • Strong expertise in AWS services (breadth preferred over depth, given evolving architecture).
  • Experience designing scalable data pipelines or backend systems
  • Bachelor’s degree in computer science required

  • Strong technical, analytical, troubleshooting, and communication skills

  • Experience building and deploying production level services across large scale distributed systems using

  • Knowledge of advanced programming techniques (Low Latency, Resiliency, Network Programming, Data Structures and Algorithms, Memory Management and File Management

  • Able to analyse, plan, design, coordinate and supervise the development of software systems

  • Demonstrates knowledge of how their projects impact FactSet’s products and clients

  • Demonstrates good development practices and self-reliance

  • Possesses depth of knowledge of real time and high-frequency trading systems, as well as knowledge of financial instruments and market dynamic to design software that meets the specific needs of trading environments

  • Highly proficient with development environment and tools,

  • Has demonstrated success with increasingly difficult technical projects.

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 & Tags

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Aplyr's read

FactSet provides integrated financial data and analytics, catering to investment professionals seeking robust solutions. Ideal for those in finance and tech-driven roles.

Synthesized from recent postings & public sources

What's promising

  • Strong global presence with a diverse range of roles across finance and technology.
  • Consistent innovation in financial analytics and data solutions for investment professionals.
  • Opportunities for career growth in a company that supports hybrid and flexible work models.

What to watch

  • Highly competitive industry with constant pressure to innovate and stay ahead.
  • Potential for high stress due to the fast-paced financial services environment.
  • Limited public information about work-life balance and employee satisfaction.

Why FactSet

  • Specializes in providing integrated financial data and analytical applications.
  • Offers a mix of finance and technology roles, reflecting its dual focus.
  • Strong emphasis on cloud and cybersecurity roles, indicating tech-forward initiatives.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About FactSet

FactSet is a global provider of integrated financial information and analytical applications for investment professionals.

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