Full-Time

Software Engineer 3

Python, NoSQL

Posted on 6/9/2025

FactSet

FactSet

10,001+ employees

Subscription-based financial data and analytics platform

No salary listed

Hyderabad, Telangana, India

In Person

Category
Software Engineering (2)
,
Required Skills
Agile
Python
React.js
NoSQL
Git
Data Structures & Algorithms
AWS
JIRA
Elasticsearch
Vue.js
MongoDB
Confluence
AngularJS
Requirements
  • Bachelor’s or master’s degree in computer science, Engineering, or a related field is required.
  • 3-6 years of experience in software development, with a focus on systems handling large-scale data operations.
  • In-depth understanding of data structures and algorithms to optimize software performance and efficiency.
  • Proficiency in object-oriented design principles is essential.
  • Strong skills in Python, AWS, Frontend and C#.NET to comprehend and contribute to existing applications.
  • Experience with non-relational databases, specifically DynamoDB, MongoDB and Elasticsearch, for optimal query development and troubleshooting.
  • Experience with frontend technologies like Angular, React or Vue.js to support development of key interfaces.
  • Familiarity with GitHub-based development processes, facilitating seamless collaboration and version control.
  • Experience in building and deploying production-level services, demonstrating ability to deliver reliable and efficient solutions.
  • Proven experience working with APIs, ensuring robust connectivity and integration across the system.
  • Working experience with AWS services such as Lambda, EC2, S3, and AWS Glue is beneficial for cloud-based operations and deployments.
  • Strong analytical and problem-solving skills are critical for developing innovative solutions and optimizing existing platform components.
  • Excellent collaborative and communication skills, enabling effective interaction with geographically diverse teams and key stakeholders.
  • Capability to address system queries and provide weekly On Call support, ensuring system reliability and user satisfaction.
  • Ability to prioritize and manage work effectively in a fast-paced environment, demonstrating self-direction and resourcefulness.
Responsibilities
  • Work on the Data Lake platform handling millions of documents annually, built on No SQL Architecture. Focus on developing new features while supporting and maintaining existing systems, ensuring the platform's continuous improvement.
  • Develop innovative solutions for feature additions and bug fixes, optimizing existing functionality as needed to enhance system efficiency and performance.
  • Engage with Python, Frontend and C#.NET repositories to support ongoing development and maintenance, ensuring robust integration and functionality across the application stack.
  • Participate in weekly On Call support to address urgent queries and issues in common communication channels, ensuring operational reliability and user satisfaction.
  • Create comprehensive design documents for major architectural changes and facilitate peer reviews to ensure quality and alignment with best practices.
  • Utilize object-oriented programming principles to develop low-level designs that effectively support high-level architectural frameworks, contributing to scalable solutions.
  • Collaborate with product managers and key stakeholders to thoroughly understand requirements and propose strategic solutions, leveraging cross-functional insights.
  • Actively participate in technical discussions with principal engineers and architects to support proposed design solutions, fostering a collaborative engineering environment.
  • Accurately estimate key development tasks and share insights with architects, engineering directors, to align on priorities and resource allocation.
  • Operate within an agile framework, collaborating with engineers and product developers using tools like Jira and Confluence. Engage in test-driven development and elevate team practices through coaching and reviews.
  • Create and review documentation and test plans to ensure thorough validation of new features and system modifications.
  • Work effectively as part of a geographically diverse team, coordinating with other departments and offices for seamless project progression.
Desired Qualifications
  • Experience with Python and relevant libraries like Pandas and NumPy is beneficial for data manipulation and analysis tasks.
  • Familiarity with Jupyter Notebooks is a plus for supporting data visualization and interactive analysis.
  • Understanding of Agile software development is advantageous, with experience in Scrum as a preferred approach for iterative project management.
  • Exposure to Linux/Unix environments is desirable, enhancing versatility in system operations and development.

FactSet provides financial data and analytics software to investment professionals through a subscription-based platform. It offers market data, fixed income data, and research management tools that deliver real-time and historical data, along with advanced analytics, to help asset managers, investment bankers, wealth advisors, and other financial professionals make informed decisions. The platform is customizable to fit different clients’ needs, and FactSet also offers consulting and support services to maximize subscription value. The company differentiates itself through a strong focus on client service and ongoing platform updates that incorporate the latest data and analytical techniques, aiming to be a trusted, comprehensive source for financial information. Its goal is to enable better investment decisions by providing access to broad data sets and sophisticated analytics within an integrated suite of tools.

Company Size

10,001+

Company Stage

IPO

Headquarters

Norwalk, Connecticut

Founded

1978

Simplify Jobs

Simplify's Take

What believers are saying

  • Q1 2026 revenue hits $611M, beating estimates; full-year guidance raised to $2.46B.
  • OpenAI and Anthropic partner FactSet for Excel AI data access in March 2026.
  • Joshua Warren appointed CFO April 13, 2026, from Envestnet and BlackRock expertise.

What critics are saying

  • OpenAI-Anthropic deals with LSEG commoditize data, eroding workstation subscriptions within 12 months.
  • Cloud costs erode margins as Q2 2026 net income declines, forcing hikes versus Bloomberg.
  • Stock drops 9.2% past month; revenue misses trigger activist pressure by mid-2027.

What makes FactSet unique

  • FactSet integrates PatSnap Synapse for biopharma pipeline data amid $133B 2025 M&A.
  • Portware EMS partners OptimX for bilateral liquidity access post-July 2025 US trades.
  • FactSet AI for Banking alpha with Finster AI automates deal workflows via Workstation.

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Benefits

Health Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

Paid Vacation

Paid Sick Leave

Paid Holidays

Flexible Work Hours

Wellness Program

Employee Stock Purchase Plan

Company News

Financial Modeling Education
Apr 8th, 2026
The one-pager: AI just moved into your spreadsheet.

The one-pager: AI just moved into your spreadsheet. Welcome to the one-pager. It's been almost a year since I've written a blog post but I'm back. This is something new I'm trying out - a short post every couple weeks to help stay up-to-date on the latest developments in financial modeling. It'll include a few quick thoughts from me, and then a handful of relevant links you might find interesting. The goal is to skim it quick, hopefully grab something helpful, and get on with your day. If it's useful, I'll keep it going. If not, I won't. Simple as that. Sheet happens. Right now, feels like Financial Modeling Education is in a full-on AI arms race to get inside your spreadsheet, and frankly I find it kind of exhausting. In the first two weeks of March, OpenAI, Microsoft, and Google all shipped AI updates that live directly inside Excel and Google Sheets. Claude was a few steps ahead and feels like leader in the clubhouse right now, but I suspect that will change soon (can't wait to change my subscriptions, again). That means my your days of copy/pasting from ChatGPT like an absolute psychopath are over. On the surface, it feels like a "speed race," and the "how I built [something] in 4 seconds" on social media is getting a bit nauseating, but there's more to the story than that: data access. OpenAI and Anthropic both announced nearly identical partnerships with FactSet, Moody's, S&P, LSEG, and others within weeks of each other. Whether data access becomes a real differentiator or just gets commoditized like the models themselves, I don't know yet. Worth watching. Despite all these amazing advances, humans are still in the driver's seat (for now): Wall Street Prep tested all four tools on a real 3-Statement Model build earlier this year. The best score was 5.9 out of 10, compared to a top analyst score of 9.4. This will be a great analysis to keep my eyes on. Right now I'm using Claude and it's pretty damn remarkable what it can do, but once you get in the weeds, some of its shortcomings self-reveal pretty quickly. The reality is the same thing I've been saying for years: the fundamentals are the skill. AI is just a tool that sits on top of them. If your structure is solid, AI will make you faster. If it's not, AI will just help you build a bad model quicker. Helpful to check out: 1. OpenAI launched ChatGPT for Excel (Mar 5) - GPT-5.4 now lives inside your workbook with connections to major financial data providers. This is GPT's Excel plug-in announcement. 2. Microsoft rebranded "Agent Mode" as just... Copilot (Mar 9) - Everything is now just "Copilot," and it lets you choose between OpenAI and Anthropic models. Honestly, RIP, my one experience with Agent Mode was miserable and I'm glad it's been rebranded. 3. "I tested Gemini in Google Sheets and it sucks" (Mar 12) - An independent finance newsletter gave Google's update an honest test. Seems like it's not quite there yet, but I feel like the underlying "AI-everything" integration could be the next race. 4. CFI launched a course on AI-powered financial modeling with Claude - I've always been a huge fan of Tim's and CFI; worth checking out if you're interested. 5. And yes, of course there's a plug: How I'm Modeling with AI - newly released on my site, which includes a selection of downloadable Claude skills you can apply to your modeling right away. That's it for this one. See you in two weeks. - Chris

Yahoo Finance
Apr 8th, 2026
FactSet appoints Joshua Warren as CFO, succeeding Helen Shan

FactSet Research Systems has appointed Joshua B. Warren as Chief Financial Officer, effective 13 April 2026. He succeeds Helen Shan, who is transitioning from the position. Warren brings extensive experience across asset management, financial technology and capital markets. He most recently served as CFO of Envestnet, where he led a comprehensive transformation of finance and operating functions. Previously, he held senior roles at BlackRock, including Global Head of Business Strategy for iShares and Index Investments, and Managing Director in Corporate Strategy and Development. He has also worked at Barclays Capital, the US Department of the Treasury and Skadden Arps. CEO Sanoke Viswanathan praised Warren's strategic perspective and track record of value creation, noting his experience positions him well to execute FactSet's strategy.

GlobeNewswire
Apr 8th, 2026
FactSet announces Chief Financial Officer transition.

FactSet announces Chief Financial Officer transition. NORWALK, Conn., April 08, 2026 (GLOBE NEWSWIRE) - FactSet (NYSE:FDS | NASDAQ:FDS), a global financial digital platform and enterprise solutions provider, today announced that Joshua B. Warren has been appointed Chief Financial Officer, effective April 13, 2026. He will succeed Helen Shan, who is transitioning from her position. Josh Warren is a seasoned financial and strategic leader with deep experience across asset management, financial technology and capital markets. Warren most recently served as Chief Financial Officer of Envestnet, where he led a comprehensive transformation of the company's finance and operating functions, strengthened performance management and investor engagement, delivering significant shareholder value. Previously, he served as Global Head of Business Strategy for iShares and Index Investments at BlackRock, and prior to that, he was the Managing Director in BlackRock's Corporate Strategy and Development team. Warren also held roles at Barclays Capital; Foros Group; the United States Department of the Treasury; and Skadden, Arps, Slate, Meagher & Flom LLP. Warren holds a J.D. from the New York University School of Law and a B.A. from Dartmouth College. "We are excited to welcome Josh as FactSet's next CFO," said Sanoke Viswanathan, Chief Executive Officer of FactSet. "Josh brings a rare combination of strategic perspective, financial discipline, and operational execution. He has a proven ability to lead through complexity, accelerate performance, and drive meaningful value creation. His experience across asset management and financial technology, along with his track record of delivering results, makes him exceptionally well positioned to help us execute our strategy and deliver for our clients and shareholders." "As FactSet and its clients embark on a new chapter at the intersection of data, technology, and AI, the fundamentals are already strong. The company has spent years building trusted data and relationships, and I am excited to work with the team to build on that foundation to accelerate growth and drive results for all our stakeholders," said Warren. Viswanathan continued, "On behalf of our entire team, I want to thank Helen for her partnership and significant contributions to FactSet. Over the past several months, Helen has played an important role in ensuring continuity and supporting a smooth transition following my joining the company. She has been an integral member of our executive team, helping position FactSet as an industry leader. As CFO, she advanced the company's financial processes and infrastructure, including disciplined value-based pricing and the transformation of financial systems, and we are well placed to build on that progress as we move forward." "It has been a privilege to have served as both Chief Financial Officer and Chief Revenue Officer at FactSet. I am proud of what we have accomplished and have full confidence in the team. I look forward to enabling a smooth transition to Josh," said Helen Shan. Shan's departure is not the result of any disagreement with the company regarding its accounting practices, financial statements or financial condition, or any of the company's related disclosures. About FactSet FactSet (NYSE:FDS | NASDAQ:FDS) supercharges financial intelligence, offering enterprise data and information solutions that power our clients to maximize their potential. Our cutting-edge digital platform seamlessly integrates proprietary financial data, client datasets, third-party sources, and flexible technology to deliver tailored solutions across the buy-side, sell-side, wealth management, private equity, and corporate sectors. With over 47 years of expertise, offices in 19 countries, and extensive multi-asset class coverage, we leverage advanced data connectivity alongside AI and next-generation tools to streamline workflows, drive productivity, and enable smarter, faster decision-making. Serving more than 9,000 global clients and over 240,000 individual users, FactSet is a member of the S&P 500 dedicated to innovation and long-term client success. Learn more at www.factset.com and follow us on X and LinkedIn. Forward-Looking Statements This press release contains forward-looking statements based on management's current expectations, estimates, forecasts and projections about future events, trends, contingencies, and circumstances, industries in which FactSet operates and the beliefs and assumptions of management. All statements that address expectations, guidance, outlook or projections about the future, including statements about the Company's strategy, product development, revenues, future financial results, anticipated growth, market position, subscriptions, expected expenditures or investments, trends in FactSet's business and financial results, are forward-looking statements. Forward-looking statements may be identified by words like "may," "might," "will," "should," "expects," "plans," "anticipates," "believes," "estimates," "intends," "projects," "indicates," "predicts," "potential," or "continue," the negative of those terms, and similar expressions. Forward-looking statements are not guarantees of future performance, outcomes, events, or actions and involve a number of known and unknown risks, uncertainties, and assumptions. Many factors, including those discussed more fully elsewhere in this release and in FactSet's filings with the Securities and Exchange Commission, particularly its latest annual report on Form 10-K, including Item 1A, Risk Factors, and quarterly reports on Form 10-Q, as well as others, could cause results, performance, achievements, or activities to differ materially from those expressed or implied by the forward-looking statements. Accordingly, the Company cautions readers not to place undue reliance on any forward-looking statements, which speak only as of the date they are made. FactSet assumes no duty to and does not undertake to update or revise any forward-looking statement to reflect events or circumstances arising after the date on which it is made, except as required by applicable law. Future results could differ materially from historical performance.

Yahoo Finance
Apr 1st, 2026
FactSet beats Q1 estimates with $611M revenue, raises full-year guidance on AI and data growth

FactSet, a financial data provider, reported first-quarter revenue of $611 million, beating analyst estimates of $604.2 million and representing 7.1% year-on-year growth. Adjusted earnings per share of $4.46 also exceeded expectations by 1.9%. The company raised its full-year revenue guidance to $2.46 billion from $2.44 billion and lifted adjusted EPS guidance to $17.50 at the midpoint. CEO Sanoke Viswanathan attributed the strong performance to growth across regions and deeper integration of FactSet's solutions into client operations, particularly in AI-driven environments. Management plans to invest in AI capabilities, expand core data assets, and implement new pricing models. CFO Helen Shan noted that investments are delivering enhanced client value and operational efficiencies through AI-driven automation.

Yahoo Finance
Mar 31st, 2026
FactSet raises 2026 guidance to $2.47B, launches AI banking tools to offset margin pressures

FactSet Research Systems has raised its fiscal 2026 guidance, targeting GAAP revenues of $2.45 billion–$2.47 billion and GAAP diluted EPS of $14.85–$15.35. The upgrade follows mixed second-quarter results, where sales grew but net income and EPS declined year-on-year. The financial data provider has expanded its AI capabilities by launching the alpha version of FactSet AI for Banking and partnering with Finster AI. The platform aims to integrate FactSet's data into AI-powered workflows across investment banking and financial services. The company's investment case now hinges on whether AI-driven products can offset margin pressures and banking sector headwinds. Analysts project revenues reaching $2.8 billion by 2029, requiring 5.3% annual growth, though concerns remain about rising cloud and infrastructure costs impacting profitability.

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