Senior Data Engineer

S&P Global Energy

Not specified; competitive pyy; retirement plannin...
4+ years data engineering experience
Python and sql proficiency
Distributed data processing frameworks
The team is dedicated to building data systems from the ground up and optimizing data delivery architecture to support next-generation products

Job Summary

  • The team is dedicated to building data systems from the ground up and optimizing data delivery architecture to support next-generation products.
  • You will be responsible for designing optimal data pipeline architecture to ensure efficient, scalable, and reliable data flow across the organization.
  • S&P Global Energy offers comprehensive benefits including health care coverage, generous time off, and continuous learning resources to help you thrive.

Matching Summary

The team is dedicated to building data systems from the ground up and optimizing data delivery architecture to support next-generation products.

Salary

Not specified; Competitive pay; Retirement planning and student loan contribution

Skills & Requirements

Must-have

  • 4+ years data engineering experience
  • Python and SQL proficiency
  • Distributed data processing frameworks
  • Cloud data platforms (AWS/Azure/GCP)
  • Workflow orchestration and scheduling
  • Containerization and CI/CD pipelines
  • RESTful API design principles

Nice-to-have

  • Experience with streaming and messaging platforms
  • Knowledge of NoSQL databases
  • Familiarity with search and indexing engines
  • Strong object-oriented programming skills
  • Agile environment experience (Scrum/Kanban)

Key Requirements

  • Minimum 4 years of data engineering experience
  • Hands-on experience with distributed big data frameworks
  • Proficiency in containerization technologies and Infrastructure as Code
  • US Candidates Only requirement

Work Rights

US Candidates Only

Tailored Resume

Cover Letter