Data Engineer

The Reference & Security Master Development Team is responsible and accountable for the architecture design, software engineering, integration, and deployment of large-scale market data initiatives in support of MSCI’s multi asset class suite of products across Enterprise Portfolio Management and Analytics, ESG, Index, Private Asset, and Stand-Alone Data businesses. The global reference data team consists of highly motivated, multi-talented and experienced technology developers with broad content backgrounds working in a fast paced and results-oriented Agile development environment, leveraging modern and innovative technologies.

The scope of market data spans equity and derivatives markets, fixed income, securitized, credit and legal entity/issuer content.

• Software Engineering -- architect, design and develop secure, high performance, scalable & maintainable applications using appropriate architectural patterns and modern innovative technologies
• Coordination and collaboration with internal OneMSCI Stakeholders -- Research & Product Management, Operations & Data Content Services, and Infrastructure teams.
• Convert business requirements into applications and tools in alignment with product functionality and content roadmaps
• Improve and create a modern and sophisticated platform using latest technologies and following industry best practices
• Evaluate different Architectural & Design approaches, solutions, frameworks & technologies
• Develop best practices for architecture, design, coding & automated test coverage
• Collaborate with Enterprise Architecture team to develop & use common Architectural principles
• Develop, document and deploy reliable and scalable software to automate the operation and management of MSCI market data, and terms & condition databases
• Ensure optimal availability, latency, scalability and efficiency of real-time application development through advocating engineering reliability into the development life cycle with a focus on fault tolerant approaches
• Develop and maintain automated testing framework for continuous integration and deployment
• Working in Dev Ops model to support automated monitoring, telemetry, and feedback of production processes
• Prepare written and diagramed architecture, design, and workflow proposals for both internal technology teams and management presentations

• Bachelor degree in Computer Science, Data Science, Financial Engineering, Quantitative Finance, or a related sciences/technology field, or equivalent experience
• 3-5 years of experience in any/all of:
  Python, Perl, C/C++, Linux/Unix, Git Version Control, PL/SQL, Microsoft Azure & Dev Ops pipeline development
• Proficiency in SQL/Relational databases:
  Oracle, SQL Server, Azure SQL, Postgres
• Experience with and demonstrated capabilities in big data environments and cloud storage technologies (e.g., ADLS, Snowflake, etc.)
• Experience building market data systems in a large multi asset class environment — covering financial products, instrument reference data, legal entity hierarchy, corporate fundamental data and corporate actions, benchmark/index data, and instrument and derivatives pricing and settlement
• Experience with large vendor market data architectures and products (e.g., LSEG/Refinitiv Data Scope and Onsite Fixed Income-EJV, Markit, IDC, S&P, Moody's, etc.) and/or multi asset class 3rd party benchmark data (e.g., JPM, FTSE, iBoxx, Merrill, Bloomberg/Barcap, etc.)
• Hands‑on experience using AI coding assistants such as Claude Code, Cursor, Git Hub Copilot, or Codex to accelerate coding, debugging, and data pipeline development; familiarity with MCP or reusable Skills is a plus
• Strong work ethic and demonstrated ability to work independently
• Excellent communication and presentation skills

• Salary range: $95,000 - $124,000 / year plus eligible for annual bonus
• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
• Flexible working arrangements, advanced technology, and collaborative work spaces.
• A culture of high performance and innovation where we experiment with new ideas…