Role/Department Description:

We are looking for a passionate software engineer with proficiency, experience and fluency in backend development, REST APIs, databases and AWS experience. Experience on front end, GenAI, NLP is an advantage for the role.
 

You will be joining a team working mainly on AI/ML projects. The team focuses on innovation projects that can reinvent the way financial data is produced. With the combination of traditional ML and GenAI, the way we interact with data and documents can be revised. 

Data Solutions aims to deliver high value, connected data to fuel growth, improve client experiences, and provide a comprehensive suite of offerings that incorporate proprietary and third-party data sets, normalized through a common data model that ultimately enables clients to access market, company, and alternative data through various delivery methods.

FactSet engineers demonstrate ability to criticize code and production for improvement, as well as to receive and apply feedback effectively to develop expertise on our products.

Focus is on creating new back-end software that help increase volume of collected data with consistent quality, stability and adherence to best practices. This will allow the engineer to gain a mastery of the products to which one is contributing and begin to participate in forward design discussions for how to improve based on one’s observations of the code, systems and production involved. 
 

Responsibilities:

Write clean, efficient and well-documented code using industry best practicesDemonstrate a thorough knowledge of data structures and algorithms, object-oriented programming, and software engineering principlesUse Python to build our back-end collection toolsEnsuring that deployed products are properly maintained throughout their lifecycleParticipate in design and code reviews of multiple projects across teamsShould be quick learner and open to learn new things.Troubleshoot and Debug frontend and backend applications to resolve issues and optimize performancesUnderstand and keep up to date with GenAI technology advances

Required Skills:

Bachelor or Engineering degree requiredFluent EnglishStrong technical, analytical, troubleshooting, and communication skills3+ Years of experience in back-end developmentStrong proficiency in PythonDatabase and SQL general knowledge (PostGres/Sql)Knowledge of REST APICloud native development experience (AWS)Experience or knowledge of CI/CD concepts and Github would be appreciatedFluent English

Preferred Skills (not mandatory):

Knowledge about ML and GenAIExperience with NLP text processingKnowledge in a Web Development frameworkExperience working with DockerUnderstanding of  concepts such as Bag of Words, embeddingsAble to work in a team of data scientists as well as in projection in other teams for the duration of the projects

What You Can Expect When Joining FactSet’s Engineering Community:

Support from your manager and teammatesOpen lines of communication that foster collaborationMentorship from tenured EngineersAn emphasis on continuous learning and professional developmentA good work-life balance

Why Life is Better as a FactSetter:

FactSet looks to foster a globally inclusive culture.  From leadership commitment, to employee led resource groups, FactSet has diversity, equity, and inclusion as a priority.  Read more about our priorities here: https://www.factset.com/company/diversity-equity-and-inclusionFactSet believe giving back to our communities is part of our culture.  From volunteer opportunities to working with non-profit partners, you can read more about our commitments here: https://www.factset.com/company/corporate-responsibilityCompany profits participationNo or low-cost medical, dental and vision careFull and free access to LinkedIn Learning catalogReimbursement for eligible expenses related to AWS certification, financials certifications (CFA, CIPM, CAIA, FRM)Employee referral bonusesFlexible office work / teleworkingAnd more!

At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process.  All qualified applicants will be considered for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. FactSet participates in E-Verify.