New RNG Site Transition and AI Integration Engineer

New RNG Site Transition and AI Integration Engineer

Position Specific Description 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 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
• SCADA, EWIS & Dashboard Integration
• Python Automation & Data Engineering
• AI, Analytics & Operational Optimization
• Operational Readiness & Project Support
• Continuous Improvement & Cross-Functional Collaboration

Preferred Qualifications Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related technical field required; master's degree preferred. 4+ years of experience in data systems engineering, system integration, IT project management, operations technology, or power generation support. Experience supporting Renewable Natural Gas, Landfill Gas to Energy, power generation, industrial gas processing, utilities, or similar process facilities strongly preferred. 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 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.

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.

Experience supporting commissioning, startup, operational readiness, or asset transition activities preferred. Energy sector, renewable fuels, or digital transformation experience highly desirable.

Key Attributes for Success Strong understanding of how data systems support safe, reliable, and efficient RNG operations. Ability to connect field operations needs with scalable enterprise data solutions. Ownership mindset with the ability to drive issues from identification through resolution. Strong technical curiosity and practical problem-solving skills. Ability to work across operations, maintenance, engineering, IT, analytics, vendors, and contractors. Focus on reliability, operational readiness, standardization, and continuous improvement.

Comfort working in a fast-paced environment with multiple projects, stakeholders, and asset priorities.

Why This Role This role is designed for a technically strong and forward-thinking engineer who is passionate about using data systems, automation, AI, and advanced analytics to improve RNG plant performance and operational reliability. You will help build the digital foundation for Renewable Natural Gas operations by improving asset onboarding, SCADA and EWIS integration, Maximo data quality, dashboard adoption, and AI-enabled decision support.

Your work will directly contribute to safer operations, stronger maintenance…