FactSet · 20 hours ago
Software Engineer II (Python, SQL, AWS) - Hybrid
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide. As a Software Engineer in Data Solutions Engineering, you will automate data acquisition and analytics in a scalable cloud environment, working with large datasets to enhance FactSet's products.
AnalyticsFinanceFinancial ExchangesFinancial ServicesInsurTechSoftware
Responsibilities
Build and scale an automatic data pipeline
Ingest and analyze various data sources to drive innovation in content creation
Automate the acquisition, relevance scoring, and storage of incoming sources
Develop processes for data mining, data concordance, and data production
Explore and evaluate new data technologies to build a scalable, cloud-oriented data platform
Optimize data retrieval and develop dashboards and other visualizations for financial experts
Participate in different projects as a data scientist and data engineer
Deliver clean, well-tested code that’s reliable, maintainable, and scalable
Build predictive models and communicate results with stakeholders
Deploy working solutions
Develop dashboards and other visualizations for financial experts
Develop processes for data collection, quality assessment, and quality control
Keep up to date / share your passions
Stay up to date with state-of-the-art approaches and technological advancement
Share your passion for science, ML, and technology
Qualification
Required
2-5 years of experience as a Software Engineer or Data Scientist or Data Engineer
History of writing and releasing production-grade code in an enterprise environment
Familiarity with terraform, python, pandas and NumPy
Experience working with Agile methodology
Team player and adept at learning new technologies and client workflows
Strong analytical skills
Ability to communicate about complex subjects to non-technical stakeholders
BS or MS in Computer Science or Mathematics related field
Preferred
Experience with Neural Networks / Deep Learning
Information extraction, parsing, and segmentation
Machine learning frameworks and ML workflow
NLP libraries and text preprocessing (nltk, SpaCy, language models)
Cloud environments: AWS, Azure
Business intelligence tools like Tableau or PowerBI
LLMs
AWS Services like EC2, RDS(Postgres), SQS, Sagemaker, MLflow, S3, API gateway, ECS
Building large, distributed data pipelines
UI frameworks like VueJS
SQL
Benefits
Health, life, and disability insurance
Retirement savings plans
Discounted employee stock purchase program
Paid time off for holidays
Family leave
Company-wide wellness days
Flexible work accommodations
Career progression planning with dedicated time each month for learning and development
Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging
Company
FactSet
FactSet is a financial research company that offers risk analytics tools and data for institutional investors.
H1B Sponsorship
FactSet has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (44)
2024 (25)
2023 (56)
2022 (86)
2021 (76)
2020 (79)
Funding
Current Stage
Public CompanyTotal Funding
unknown1996-06-28IPO
Recent News
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