The Data Engineer will work on building AI powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global and our clients. The role will involve modernizing and enhancing core enterprise systems, migrating platforms and workloads, and consolidating tools/technology stacks to improve reliability, security, scalability, and cost-efficiency.
Requirements
- Bachelors/Masters (preferred) degree or equivalent experience in Computer Science, Data Science, Statistics, or other quantitative disciplines
- Hands on experience in development of complex software systems applications
- Proficiency in Python and SQL
- Expertise in Snowflake architecture and large-scale migration projects
- Strong understanding of performance tuning, security, and cost optimization
- Experience integrating Snowflake with BI tools
Benefits
- Health & Wellness: Health care coverage designed for the mind and body
- Flexible Downtime: Generous time off helps keep you energized for your time on
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference
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