The CDP API team is building the Centralized Data Platform Data Marketplace at MSCI, and is looking for a Data Engineer to design, build, and deploy the AI agents, orchestration, and data pipelines that make its agentic AI-driven data operations possible.
Stack
Responsibilities
- ▹Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
- ▹Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections powering autonomous, end-to-end data workflows
- ▹Take each solution from design through to production, writing clean, reliable, well-tested code
- ▹Architect and develop secure, high-performance, scalable, maintainable applications using modern architectural patterns and best practices
- ▹Automate the operation and management of MSCI's market-data and terms-and-conditions databases for availability, low latency, scalability, and fault tolerance
- ▹Work in a DevOps model: build CI/CD pipelines, automated testing frameworks, production monitoring, telemetry, and feedback loops
- ▹Build and maintain the platforms, frameworks, and tools operations teams depend on
- ▹Monitor deployed solutions in production, diagnose and resolve issues, deliver enhancements
- ▹Establish reusable components, patterns, and engineering standards
Requirements
- ▹2-4 years of experience in roles that combine technology implementation with business/operational problem-solving, such as solutions engineering
About the company
MSCI is a leading provider of decision-support tools and services for the global investment community, with over 50 years of expertise in research, data, and technology, powering investment decisions through indexes, analytics, and ESG and climate products. Its Data Operations & Technology function collects, validates, quality-assures, and delivers the data behind every MSCI product.
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