S&P Global

Big Data Engineer Lead

S&P Global
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24 hours ago

Base Salary

$149k - $202k/yr

Responsibilities

  • Partner with business stakeholders to gather requirements, define use cases, and plan solution delivery.
  • Design, build, and deploy scalable machine learning and generative AI solutions with data scientists and software engineers.
  • 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.
  • Research emerging AI and machine learning technologies and contribute to technical standards, best practices, and reusable AI capabilities.

Requirements

  • 10+ years of relevant experience building AI, machine learning, or data-driven solutions in cloud environments such as AWS.
  • Strong Python skills and experience with TensorFlow, PyTorch, or scikit-learn.
  • Hands-on experience developing applications with Java and Spring Boot.
  • Experience with Docker, Kubernetes, virtual machines, and other containerized or virtualized environments.
  • Familiarity with Cursor, Claude Code, GitHub Copilot, or similar AI-assisted development tools, plus Git version control.
  • Strong SQL knowledge and experience with structured and unstructured datasets.
  • Understanding of deep learning, natural language processing, generative AI, AI agents, autonomous workflows, or agentic AI frameworks.
  • Preferred experience includes LangChain, LangGraph, CrewAI, ADK, Strands, graph technologies, React, JavaScript, HTML, data engineering, data preparation, feature engineering, data lakes, AI-ready data platforms, Apache Spark, or Hadoop.

Benefits

  • Health care coverage, generous time off, continuous learning resources, retirement planning, continuing education and student loan contribution programs, financial wellness programs, family benefits, retail discounts, and referral incentive awards.
  • Eligible for an annual incentive plan and S&P Global employee benefits.

Tech Stack

Apache HadoopApache SparkAWSDockerGitHTMLJavaJavaScriptKubernetesPythonPyTorchReactscikit-learnSpring BootSQLTensorFlow

Categories

Data EngineeringML Engineering
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