Environmental Engineer: Data-Driven, Cloud-Savvy Impact

Egreenservices

Greenville (SC)

On-site

USD 87,000 - 123,000

Full time

14 days+

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Job summary

Power Partners LLC in Greenville, SC is seeking a full-time Environmental Engineer with a strong initiative and decision-making power. The role offers a base salary range of $87,000–$123,000 and a clear growth plan with mentorship and flexibility.

Expect responsibilities spanning MongoDB config, telemetry dashboards, Kubernetes discussions with executives, module refactors, Jenkins data-flow mapping, and cloud-cost optimization in a Greenville context.

Qualifications

  • 6+ years owning outcomes, not just completing tasks.
  • Proven follow-through, measured in shipped things rather than good intentions.
  • Around 6+ years of hands-on experience in a technology role.
  • Detail-oriented approach with a commitment to accuracy.
  • Working familiarity with full-time schedules and team norms at Power Partners LLC

Responsibilities

  • Wrangle MongoDB config across environments so Greenville staging mirrors production
  • Pull MongoDB telemetry into dashboards Power Partners LLC leaders actually open
  • Walk technology stakeholders through Kubernetes tradeoffs in language Power Partners LLC execs grasp
  • Refactor the technology module Power Partners LLC has been afraid to touch
  • Map data flow across Power Partners LLC's Jenkins services and spot the leaks
  • Trim Power Partners LLC's cloud bill by right-sizing the TypeScript infrastructure in Greenville, SC

Skills

6+ years experience
Detail oriented
Follow-through
Team collaboration

Job description

Power Partners LLC in Greenville, SC is seeking a full-time Environmental Engineer with a strong initiative and decision-making power. The role offers a base salary range of $87,000–$123,000 and a clear growth plan with mentorship and flexibility.

Expect responsibilities spanning MongoDB config, telemetry dashboards, Kubernetes discussions with executives, module refactors, Jenkins data-flow mapping, and cloud-cost optimization in a Greenville context.

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