S&P Global
Financial Services
AIDataengineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Data engineer at S&P Global. Skills: Python, SQL, Snowflake, AI. Modernize and enhance core enterprise systems. Migrate platforms and workloads”
What You'll Achieve.
Improve reliability, security, scalability, and cost-efficiency; Support downstream workflows; Solving high-impact business problems; Deliver measurable business value
Industry & Context.
Hands-on problem solver
What They're Looking For.
Must Have
Bachelors/Masters degree or equivalent experience in Computer Science, Data Science, Statistics, or other quantitative disciplines, 5+ years of experience in development of complex software systems applications, Python, SQL
Nice to Have
LLMs, prompt engineering, Experience building agentic solutions
What You'll Do.
Modernize and enhance core enterprise systems
Migrate platforms and workloads
Consolidate tools/technology stacks
Build production ready data acquisition and transformation pipelines
Extend and manage data platforms
Contribute in the architecture design and development of end-to-end data ingestion and processing pipelines
Define best practices for data modeling
performance optimization
How You'll Work.
Team & Collaboration
Work in a global team; Collaborate with a highly skilled and technically team
Full Job Description
# **About the Role:** **Grade Level (for internal use):** 11 The Team: As part of the Collection Platforms & AI team you 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. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a global team and encouraged for thoughtful risk-taking and self-initiative. **The Impact:** • The Collection Platforms & AI team has already delivered breakthrough products and significant business value over the last 5 years. • In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. **What’s in it for you:** • Be a part of a global company and build solutions at enterprise scale and deliver large-scale initiatives. • Contribute to solving high complexity, high impact problems delivering measurable business value. • Collaborate with a highly skilled and technically strong team **Key Responsibilities** • Modernize and enhance core enterprise systems, migrate platforms and workloads, and consolidate tools/technology stacks to improve reliability, security, scalability, and cost-efficiency • Build production ready data acquisition and transformation pipelines from ideation to deployment • Being a hands-on problem solver and developer helping to extend and manage data platforms • Contribute in the architecture design and development of end-to-end data ingestion and processing pipelines to support downstream workflows • Define best practices for data modeling, performance optimization, and governance **What We’re Looking For:** • Bachelors/Masters (preferred) degree or equivalent experience in Computer Science, Data Science, Statistics, or other quantitative disciplines • Hands on experience in development o
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