RNG Site Transition and AI Integration Engineer

Position: New RNG Site Transition and AI Integration Engineer
** New RNG Site Transition and AI Integration Engineer*
* ** Date:
** Jun 19, 2026

** Location(s):
** Palm Beach Gardens, FL, US, 33410

** Company:
** Next Era Energy

** Requisition :
** 95777

Next Era Energy Resources is one of America's largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us!

** Position Specific Description*
* As aNew RNG Site Transition and AI Integration Engineer within the Power Generation Division, supporting the Renewable Operations Integration team, you will play a critical role in advancing the digital integration, operational readiness, and long-term performance of Next Era Energy's Renewable Natural Gas and Landfill Gas to Energy assets.

This role is focused on strengthening the data, reporting, automation, and AI-enabled capabilities that support RNG plant operations, maintenance strategy, commissioning handoff, asset onboarding, and fleet reliability. The position combines deep data systems integration with applied analytics, Python-based automation, and AI-driven tools to improve operational visibility, reduce manual workflows, and support better decision-making across RNG facilities.

You will partner closely with Operations Managers, Lead Project Managers, Engineering & Construction, IT, Data & Analytics, contractors, vendors, and field teams to support the transition of RNG assets from construction and commissioning into fully integrated steady-state operations. This includes improving Maximo asset structures, SCADA/EWIS integrations, Ignition and Grafana dashboards, operational KPIs, maintenance data quality, and predictive analytics use cases.

This position offers a unique opportunity to help shape the digital foundation for RNG operations while directly supporting plant reliability, production performance, operational readiness, and continuous improvement across a growing renewable gas fleet.

Key Responsibilities

+ RNG Data Systems & Asset Integration

+ Lead and support the development, validation, and ongoing management of Maximo hierarchies, asset structures, equipment records, preventive maintenance data, and work management information for RNG and LFGTE facilities.

+ Support the onboarding of new and existing RNG assets into enterprise systems, ensuring data alignment across Maximo, SCADA, EWIS, Ignition, Grafana, reporting platforms, and operational dashboards.

+ Partner with site teams and project stakeholders to ensure asset data, maintenance strategies, spare parts information, and system handoff requirements are established prior to startup and steady-state operations.

+ Improve data quality, consistency, and traceability across RNG plant systems, including compressors, gas treatment systems, flares, gas collection systems, balance-of-plant equipment, and supporting infrastructure.

SCADA, EWIS & Dashboard Integration

+ Support validation and stakeholder adoption of Ignition and Grafana dashboards used for RNG operational visibility, performance monitoring, equipment health, downtime analysis, and maintenance planning.

+ Collaborate with SCADA, IT, and operations teams to streamline SCADA and EWIS integration timelines for RNG facilities.

+ Help identify and resolve gaps between project delivery, commissioning data, and long-term operational reporting requirements.

+ Develop and enhance dashboards, reports, and KPIs that improve visibility into gas yield, gas quality, uptime, equipment performance, downtime drivers, and operational readiness.

Python Automation & Data Engineering

+ Design, develop, and maintain Python-based automation tools to improve RNG data validation, onboarding workflows, reporting processes, system checks, and exception management.

+ Build scripts and data pipelines that reduce manual effort and improve consistency in asset onboarding, maintenance data review, SCADA tag validation, and operational reporting.

+ Support ETL processes, API integrations, data modeling, and analytics frameworks that connect field data, enterprise systems, and fleet-level reporting tools.

+ Automate recurring data quality checks for RNG assets, including equipment records, work order data, PM compliance, downtime events, and dashboard inputs.

AI, Analytics & Operational Optimization

+ Apply AI and machine learning techniques to support predictive maintenance, anomaly detection, system diagnostics, downtime reduction, and plant performance optimization across RNG and LFGTE assets.

+ Analyze plant performance, maintenance, downtime, and SCADA data to identify trends, chronic issues, and improvement opportunities.

+ Support development of AI-enabled tools that help field teams, operations managers, and engineering stakeholders identify equipment risks, data anomalies, and operational inefficiencies.

+ Translate operational challenges into practical…