Senior Data Engineer

S&P Global Energy

Not specified; not specified; competitive pyy + re...
4 years of data engineering experience
Distributed data processing frameworks
Python and sql proficiency
The team values innovation and is excited about redesigning the company's data architecture to support the next generation of products

Job Summary

  • The team values innovation and is excited about redesigning the company's data architecture to support the next generation of products.
  • You will be responsible for designing scalable data pipelines that ensure efficient, reliable data flow across the organization.
  • Benefits include health care coverage, generous time off, continuous learning resources, and financial wellness programs.

Matching Summary

The team values innovation and is excited about redesigning the company's data architecture to support the next generation of products.

Salary

Not specified; Not specified; Competitive pay and retirement planning included

Skills & Requirements

Must-have

  • 4 years of data engineering experience
  • Distributed data processing frameworks
  • Python and SQL proficiency
  • Cloud data platforms AWS Azure GCP
  • Workflow orchestration scheduling platforms
  • Containerization technologies and CI/CD
  • Modern Python API frameworks

Nice-to-have

  • Strong analytical and problem-solving skills
  • Experience building solutions in Agile environments
  • Ability to collaborate with cross-functional stakeholders
  • Passion for building data systems from ground up
  • Knowledge of system design concepts

Key Requirements

  • Minimum 4 years of data engineering experience
  • US Candidates Only
  • Experience with version control systems like GitHub or GitLab

Work Rights

US Candidates Only

Tailored Resume

Cover Letter