Data Engineer Machine Learning (Chalfont)

Applicants must have valid, independent authorization to work in the United States.

This position does not offer, support, or accept any form of sponsorshipwhether employer, third-party, future, contingent, transfer, or otherwise.

Candidates must be able to work for any employer in the U.S. without current or future sponsorship of any kind.

Work authorization will be verified, and misrepresentation will result in immediate removal from consideration.

A leading technology-driven firm in the power generation industry is seeking a Data Engineer to support both production and R&D efforts. This role centers on working with large-scale industrial process data to develop, deploy, and maintain machine-learning models that drive performance optimization across utility-scale operations.

What Youll Do :

• Acquire, cleanse, and analyze time-series data from industrial power-generation systems
• Develop, deploy, and maintain machine-learning pipelines, including forecasting and anomaly-detection models
• Manage production environments using Python, SQL, APIs, and existing Azure resources
• Troubleshoot, modify, and optimize deployments based on project requirements
• Document new deployments clearly and consistently
• Collaborate with internal experts to identify high-value optimization opportunities for customers
• Support both ongoing production pipelines and new R&D initiatives

What You Bring :

Role Details :

Interested?

If you meet the requirements and want to join a fast-moving team working at the intersection of energy and machine learning, apply today.