New RNG Site Transition and AI Integration Engineer

NextEra Energy•Palm Beach Gardens, FL

6d•Onsite

About The Position

As a New 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 NextEra 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.

Requirements

Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related technical field required
4+ years of experience in data systems engineering, system integration, IT project management, operations technology, or power generation support.
Strong Python programming skills with experience in automation, data processing, scripting, analytics, and workflow optimization.
Experience with Maximo or other CMMS platforms, including asset hierarchy development, work management data, preventive maintenance structures, and maintenance reporting.
Experience with SCADA systems, EWIS, Ignition, Grafana, Power BI, or similar operational data visualization platforms.
Familiarity with data engineering concepts, including ETL pipelines, APIs, data validation, data modeling, and cloud-based analytics platforms.
Proven ability to manage complex technical initiatives across operations, engineering, IT, contractors, and field teams.
Strong analytical skills with high attention to data quality, system accuracy, and operational detail.
Excellent communication and collaboration skills, with the ability to translate business and field needs into scalable technical solutions.
Bachelor's - Engineering from an ABET-accredited engineering program
Experience: 4+ years

Nice To Haves

master’s degree preferred.
Experience supporting Renewable Natural Gas, Landfill Gas to Energy, power generation, industrial gas processing, utilities, or similar process facilities strongly preferred.
Familiarity with RNG or LFGTE equipment and systems, including compressors, gas treatment systems, flares, gas collection systems, analyzers, and balance-of-plant equipment.
Experience developing or supporting AI/ML models for predictive analytics, anomaly detection, maintenance optimization, or operational diagnostics.
Experience supporting commissioning, startup, operational readiness, or asset transition activities preferred.
Energy sector, renewable fuels, or digital transformation experience highly desirable.

Responsibilities

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.
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.
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.
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 analytics and automation use cases that improve reliability, maintainability, and production performance.
Support the transition of RNG facilities from construction and commissioning into steady-state operations by ensuring digital systems, asset data, reporting tools, and maintenance structures are ready for handoff.
Collaborate with project teams, contractors, vendors, and internal stakeholders to support commissioning, startup, performance validation, and operational acceptance activities.
Assist with standardizing onboarding processes, data templates, documentation, and system readiness checklists for future RNG projects.
Provide technical support for strategic PGD projects involving RNG data systems, field technology deployment, dashboard development, and operational integration.
Partner with operations, maintenance, engineering, IT, and analytics teams to identify opportunities for process improvement, automation, and data-driven decision-making.
Support fleet-wide initiatives focused on standardization, reliability improvement, reporting consistency, and operational efficiency.
Develop documentation, training materials, and process guides to support long-term business continuity and scalable RNG operations.
Serve as a technical liaison between field operations, project teams, and enterprise data system owners.
Plans and develops engineering projects concerned with unique or controversial complexities which have important impact on major company programs
Acts as technical liaison to individuals within and outside the organization with responsibility to act independently regarding technical matters pertaining to individual's field
Completes assignments given in broad terms concerning general objectives and limitations.
Performs other job-related duties as assigned