Data Engineer

3 hours ago

Lansdale, Pennsylvania, United States Kane Partners LLC Full time

*Must be a US citizen or possess a green card*

Join a team that's redefining how data powers performance in the energy industry. Our client helps utility-scale power generation companies unlock hidden value through data-driven performance optimization—combining human insight with modern analytics and automation.

As a Data Engineer, you'll work directly with large time-series datasets from industrial systems, turning raw data into meaningful insights that improve asset performance. You'll have the freedom to build, experiment, and solve problems proactively—not just follow a playbook.

What You'll Do

● Acquire, clean, and analyze industrial time-series data from power generation assets.

● Develop and maintain data pipelines and analytical models using Python and SQL.

● Design and implement data solutions that identify anomalies, trends, and performance opportunities.

● Collaborate with technical and domain experts to translate operational data into actionable outcomes.

● Continuously improve systems, processes, and tools—bringing your own ideas for efficiency and innovation.

What You'll Bring

*Must have Time Series experience

● Bachelor's degree in a STEM field (Engineering, Computer Science, Data Science, or similar).

● 2+ years of professional experience in data engineering, data analysis, or similar hands-on data roles.

● Proven expertise in Python and SQL (required).

● Experience working with time-series or process data in an industrial or IoT context.

● Familiarity with Azure services (Functions, SQL Server, DevOps, or AzureML) is a plus—not required.

● A self-starter mindset—curious, resourceful, and motivated to identify and solve problems independently.

Why You'll Love It

● Competitive pay and performance-based bonuses.

● Health insurance, paid vacation, and real advancement potential.

● A collaborative, entrepreneurial environment where your ideas make an impact.

Apply Now If you're passionate about working with real-world data, solving complex problems, and building meaningful solutions that drive efficiency and performance—this is the opportunity for you.

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.

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