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GE Proficy Engineer/Sr Python Developer

VALCE T@lent Solutions
Remote
Remote

About this role

Job title: GE Proficy Engineer/Sr Python Developer

About the Role Valce Talent Solutions is seeking a GE Proficy Engineer/Sr Python Developer to configure, implement, and optimize GE Proficy Historian in an AWS cloud environment. The role centers on building robust historian data pipelines, developing Python-based calculations, and enabling downstream application teams to consume data via Proficy REST API, Historian SDK, and OPC interfaces. This is a remote position with nearshore/offshore collaboration possible.

What You'll Do

  • Configure and implement GE Proficy Historian in AWS cloud.
  • Set up collectors including SparklugB collector and calculation collectors.
  • Create, manage, and maintain historian tags (Raw, Calculated, Writeback).
  • Develop and maintain Python scripts/services to perform calculations on raw historian data and convert raw tags into calculated tags; normalize units, formats, and naming conventions; implement scheduled and event-driven calculations.
  • Validate calculated values against engineering logic and source systems.
  • Support versioning, testing, and logging for calculations.
  • Enable and support downstream application teams to consume Proficy data using Proficy REST API, Historian SDK, and OPC interfaces.
  • Provide reusable Python utilities or starter templates for data consumption.
  • Assist application teams with tag discovery and mapping, performance tuning and query optimization, and data quality and gap analysis.

What We're Looking For

  • Experience configuring and deploying GE Proficy Historian, ideally in an AWS environment.
  • Strong Python development skills for data processing and calculations.
  • Experience with Proficy REST API, Historian SDK, and OPC interfaces.
  • Knowledge of historian tagging, data normalization, and calculation pipelines.
  • Ability to work effectively with distributed teams (remote, nearshore, or offshore).
  • Bachelor's degree in Engineering or a related field.
  • Nice to have: familiarity with SparklugB collector and cloud-based data integration.
  • Ability to document, version, test, and log data processes.

Compensation & Benefits

  • Salary not disclosed in posting.
  • Remote work.

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