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Join a forward-thinking company as a Software Engineer in Data Solutions Engineering, where you will play a pivotal role in automating data acquisition and enhancing analytics through innovative technology. This position offers the opportunity to work with vast datasets, apply machine learning, and develop scalable solutions in a cloud environment. Collaborate with financial experts to create impactful data-driven products and contribute to a culture of continuous learning and technological advancement. If you're passionate about data and technology, this role is your chance to make a significant impact in a dynamic team.
Time left to apply End Date: March 31, 2025 (30+ days left to apply)
Job requisition id R26624
At FactSet, we're working to be the best financial data provider. We need highly motivated, talented individuals empowered to find answers through creative technology to get there.
As a Software Engineer in Data Solutions Engineering, you will be part of our Digital Transformation, a mission to automate our data acquisition, quality assurance, content creation, and analytics in a scalable cloud environment. With the guidance of financial experts, you will leverage these large data sets to improve the quality and extend the scope of FactSet's existing and next-generation products.
You will be working on private market data, which are heterogeneous and voluminous datasets. With the right tools and problem-solving, we want to automate data collection at scale and infer information. The end goals are company classification, tag extraction, relationship mapping, and company valuation. There is huge potential for machine learning, analytics, and NLP.
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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. Join a team of highly motivated, talented individuals who are empowered to find answers through creative technology.