Big Data Engineer Lead
About The Position
You will be an expert contributor within the Ratings Organization's Data Services Team. Our team brings deep expertise across critical Ratings data domains, AI/ML and Generative AI solutions, technology platforms, and architectural patterns. Through collaboration, innovation, and knowledge sharing, we help drive a unified strategy and deliver scalable solutions that create business value. Data Services team members play a key role in providing technical leadership, fostering innovation, and delivering impactful solutions. This is a unique opportunity to contribute to and help shape the next generation of S&P Ratings' analytics platform.
Requirements
- Experience building AI, machine learning, or data-driven solutions in cloud environments such as AWS.
- Strong Python programming skills with experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Hands-on experience developing applications with Java and Spring Boot.
- Experience working with containerized and virtualized environments, including Docker, Kubernetes, and virtual machines.
- Familiarity with modern AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar platforms.
- Experience using version control systems such as Git.
- Strong knowledge of SQL and experience working with structured and unstructured datasets.
- Understanding of machine learning concepts, including deep learning, natural language processing, and generative AI.
- Experience building or working with AI agents, autonomous workflows, or agentic AI frameworks.
Nice To Haves
- Experience with AI frameworks such as LangChain, LangGraph, CrewAI, ADK, Strands, or similar technologies.
- Experience with graph technologies and graph-based algorithms.
- Familiarity with front-end technologies such as React, JavaScript, HTML, or comparable frameworks.
- Experience in data engineering, data preparation, and feature engineering.
- Experience working with data lakes, AI-ready data platforms, or large-scale data ecosystems.
- Experience building machine learning solutions using distributed computing frameworks such as Apache Spark, Hadoop, or similar technologies.
- Knowledge of modern AI-native software development lifecycle (SDLC) practices.
Responsibilities
- Partner with business stakeholders to gather requirements, define use cases, and plan solution delivery.
- Collaborate with data scientists and software engineers to design, build, and deploy scalable machine learning and generative AI solutions.
- Analyze large datasets and develop data-driven insights to improve business outcomes.
- Build platforms, services, and tooling to optimize, evaluate, and fine-tune machine learning models for performance and scalability.
- Research and apply emerging AI and machine learning technologies to enhance existing solutions and drive innovation.
- Work closely with cross-functional teams to deliver high-quality, reliable solutions in a fast-paced environment.
- Contribute to the development of best practices, technical standards, and reusable AI capabilities across the organization.
Benefits
- Health care coverage designed for the mind and body.
- Generous time off helps keep you energized for your time on.
- Access a wealth of resources to grow your career and learn valuable new skills.
- Competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Perks for your partners and little ones, too, with some best-in class benefits for families.
- Retail discounts to referral incentive awards.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
