Data Engineer (Machine Learning Focus)

Kane Partners LLC • Full-time • Doylestown, Pennsylvania, United States • $125k - $135k / year • 7h ago

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.

Job Type: Full-time

Pay: $125,000.00 - $135,000.00 per year

Benefits: