Software Engineer II (Python, SQL, AWS) - Hybrid

FactSet • New York, NY

2d • $110,000 - $120,000 • Hybrid

About The Position

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 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.

Requirements

• 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.

Nice To Haves

• 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

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

Benefits

• The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.
• Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.
• Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodation to help them achieve success both at work and in their personal lives.
• A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level