About this role
Role summary / purpose Create the scalable data and analytics foundation that turns millions of renewable asset signals into consistent, actionable operational intelligence. Key responsibilities • Administer and govern the renewable asset data model, including database structures, metadata, equipment relationships, data quality rules, and access patterns. • Design and maintain Asset Framework hierarchies and reusable templates for sites, inverters, battery blocks, combiner boxes, trackers, meters, weather stations, and other equipment classes. • Map raw sensor identifiers to governed attributes and calculations so new assets can populate standard displays and reports with minimal custom development. • Build, validate, document, and maintain KPI calculations, automated data-quality tests, alert logic, and diagnostic queries. • Develop operational displays, dashboards, reports, and near-real-time monitoring that communicate performance, availability, losses, health, and priority actions. • Use Python and SQL for data preparation, anomaly detection, event reconstruction, recurring automation, ad hoc investigation, and scalable quality-control routines. • Partner with technicians, operators, engineers, and OEMs to translate findings into clear actions and verify whether interventions restored performance. • Build queries and reporting that provide compliance specialists with qualifying-event detection, supporting data, event timelines, and evidence packages. • Maintain calculation documentation, code repositories, version control practices, data lineage, and change management controls. Required skills • Python – Proficient • SQL Query code – Proficient • Power BI – Proficient • PI / Asset Framework or comparable historian architecture • Database administration • Data engineering and data analysis • Time-series analytics • Data quality • Technical documentation • Renewable performance concepts Nice-to-have / preferred skills • PI Hierarchies Employment details – type, location, hours • 1st Preference: St Pete • Then: Raleigh or Charlotte • Then: Plainfield or Cincinnati
Posted by Bartech Staffing on behalf of a vetted Top Three US electric utility client. Your recruiter confirms the exact rate when you connect.