
Big Data Engineer Lead
S&P Global24 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