Data Engineer (Machine Learning Focus)

*Applicants must be authorized to work in the United States without current or future sponsorship.*

Our client is a forward-thinking engineering firm providing specialized performance optimization services to companies operating utility-scale power generating assets. By combining human expertise with machine learning technology, their Performance Assurance services transform asset productivity and unlock new value for clients.

They’re looking for a Data Engineer who thrives on solving complex problems, building machine learning systems, and making an immediate impact on real-world power generation operations. If you’re data-driven, entrepreneurial, and excited to work in a fast-shifting, collaborative environment, you’ll fit right in.

What You’ll Do

• Acquire and analyze utility-scale electric power plant process data
• Build and maintain production-ready machine learning pipelines via Azure
• Participate in R&D projects, from ground-up modeling to deployment
• Collaborate with subject matter experts and communicate value-add opportunities
• Document deployments clearly and service customer requests
• Adapt to fast-changing priorities and switch seamlessly between independent work and team brainstorming

What We’re Looking For

• STEM degree (4-year minimum)
• 2 years experience in a similar role with industrial or time-series data
• Fluent in Python & SQL; experience with APIs, statistical modeling, and machine learning concepts
• Experience with production pipelines and research & development
• Knowledge of Azure infrastructure (VPNs, VLANs, NSGs, Gateways) preferred
• Familiarity with front-end visualization tools (Power BI, Tableau, Qlik, etc.)
• Experience with OSIsoft PI preferred

Personality & Fit:

• Entrepreneurial, self-starting, and action-oriented
• Able to balance independent focus with collaborative brainstorming
• Mindful of time, intentional in approach, and handles different personalities effectively
• Willing to commit long-term

Why This Role

• Competitive base salary $125-135k (higher for relevant power plant experience)
• Bonus potential, health insurance, paid vacation, and advancement opportunities
• Dynamic, collaborative environment that encourages innovation and personal responsibility
• Work directly with experienced leaders in data science and energy optimization

This role is ideal for a data engineer ready to tackle challenging problems, contribute to both production and R&D, and see their solutions directly impact the utility industry.

Work Authorization:

Applicants must have valid, independent authorization to work in the United States. This position does not offer, support, or accept any form of sponsorship—whether 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.