Data Engineer - Hybrid Onsite

Job Description As a critical member of the Assurance service team, the Data Engineer will acquire and analyze utility-scale electric power plant process data to develop and deploy machine learning-based forecasting and anomaly detection systems. Core Competencies u2022u2003Self-starting problem-solver, innovative, enterprising, data-driven u2022u2003Independent, resourceful, adaptable, and unafraid to fail and try again u2022u2003Action-oriented individual who thrives with minimal supervision u2022u2003Focused on value (why the client needs our product, value-add prospects, dollar focused, thinking outside the box) u2022u2003Willing to learn industry concepts/terminology and understand customer needs Responsibilities: u2022u2003Build, operate, and maintain production deployments of machine learning offerings via established Azure resources u2022u2003Problem-solve and modify deployments per specifications u2022u2003Remain responsible for deployments and servicing of customer requests u2022u2003Clearly and concisely document deployments for each new customer u2022u2003Work with domain experts to discover and communicate value-add optimization prospects Compensation: $120-130k. Exact compensation may vary based on several factors, including skills, experience, and education. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022u20034-year STEM degree u2022u2003Minimum of 2 years professional experience in a similar role u2022u2003Demonstrated expertise in Python, SQL, and APIs u2022u2003Azure experience, including Azure Functions, SQL Server, Azure DevOps, and AzureML u2022u2003Working knowledge of industrial process time-series data and related quantitative analysis/modeling techniques including machine learning concepts

Created: 2025-12-04