Rng Scada Jobs (NOW HIRING)

Requisition ID: 95777
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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 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.
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 analytics and automation use cases that improve reliability, maintainability, and production performance.

Operational Readiness & Project Support

• 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.

Continuous Improvement & Cross-Functional Collaboration

• 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.

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 execution, improved plant readiness, and better long-term performance across the RNG and LFGTE fleet.
This is an in-office position with some travel required to support RNG project integration, site onboarding, system validation, and stakeholder engagement.
Job Overview
Employees in this role have responsibility for interpreting, organizing, executing, and coordinating assignments. This involves exploration of subject area, definition of scope, selection of areas for investigation, and development of novel concepts.
Job Duties & Responsibilities

• 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

Required Qualifications

• Bachelor's - Engineering from an ABET-accredited engineering program
• Experience: 4+ years

Preferred Qualifications

• None

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.
Employee Group: Exempt
Employee Type: Full Time
Job Category: Engineering
Organization: NextEra Energy Pipeline Services, LLC
Relocation Provided: Yes, if applicable
NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law.
NextEra Energy provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to recruiting-coordinator.sharedmailbox@nexteraenergy.com, providing your name, telephone number and the best time for us to reach you.
NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
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