Clean Energy Fuels Construction Manager Jobs (NOW HIRING)

Clean Energy Fuels is North America's largest provider of renewable natural gas (RNG) and alternative fueling solutions for the transportation industry. We operate a nationwide network of fueling infrastructure that supports fleets across transit, trucking, municipal services, airports, waste management, and other critical industries.

At Clean Energy Fuels, we are investing in next-generation analytics, AI, Industrial IoT, cloud platforms, and intelligent automation to improve operational performance, increase reliability, enhance decision-making, and support our mission of delivering cleaner transportation energy solutions.

This is not a traditional reporting or analytics role. It is an opportunity to build practical AI solutions, intelligent automation capabilities, modern data products, and operational intelligence platforms that support real-world business operations, connected assets, field teams, and enterprise decision-makers across North America.

We offer a competitive compensation and benefits package with compensation between $140,000 -$150,000 for well qualified candidates.

As part of the IoT, Data Science & Advanced Analytics team, you will work on initiatives that directly impact operations, supply chain, finance, environmental reporting, asset performance, predictive maintenance, and business productivity.

Why Join Clean Energy?

At Clean Energy, your work won't disappear into another advertising algorithm or consumer application. You'll have the opportunity to solve meaningful business challenges using AI, analytics, automation, and IoT technologies that directly impact real-world operations, sustainability initiatives, and critical infrastructure across North America.

As part of the IoT, Data Science & Advanced Analytics team, you'll work at the intersection of:

• Artificial Intelligence and Intelligent Automation
• Industrial IoT and Operational Intelligence
• Advanced Analytics and Data Science
• Cloud Data Platforms and Modern Data Engineering
• Predictive Maintenance, Digital Twin and Asset Performance Management
• Enterprise Reporting and Business Intelligence
• Digital Transformation and Process Automation

You will help build solutions that support hundreds of connected assets, operational facilities, business processes, and decision‑makers across the organization.

This role offers the opportunity to work with modern technologies including Azure Databricks, Generative AI, AI Agents, Power BI, Grafana, cloud analytics platforms, enterprise and third-party APIs, IoT telemetry, streaming data, and intelligent automation capabilities while partnering directly with business leaders and operational teams.

If you enjoy solving complex problems, building practical AI solutions, modernizing business processes, and creating technology that delivers measurable business value, you'll find a unique opportunity to make a significant impact at Clean Energy.

Position Summary

Reporting to the Director, IoT, Data Science & Advanced Analytics, the Senior Data Science, AI & Analytics Engineer is a hands-on technical role responsible for designing, developing, and supporting artificial intelligence, intelligent automation, data engineering, analytics, and operational intelligence solutions across Clean Energy Fuels.

The successful candidate will work across the full solution lifecycle—from business requirements and architecture through development, deployment, and support—to deliver scalable solutions that improve operational visibility, automate business processes, enhance reporting capabilities, and enable data-driven decision making.

This role combines data engineering, AI enablement, cloud technologies, enterprise integrations, operational intelligence, and IoT analytics to solve complex business challenges across multiple functions of the organization.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines, enterprise data products, APIs, integrations, and analytics solutions using Azure Databricks, SQL, Python, and cloud-based technologies.
• Develop and support data integration frameworks connecting ERP systems, operational platforms, financial applications, IoT devices, external systems, and third-party data providers.
• Design and maintain secure API-based integrations that enable efficient data exchange across enterprise applications and business processes.
• Develop trusted, reusable, and governed datasets that support reporting, analytics, AI, automation, and operational intelligence initiatives.
• Implement modern data engineering practices including data quality validation, automated testing, monitoring, observability, lineage tracking, and performance optimization.
• Improve scalability, reliability, maintainability, and security of enterprise data and analytics platforms.
• Modernize manual, spreadsheet-based, and legacy business processes through automation and cloud-based solutions.
• Design, develop, and support AI-enabled solutions that improve productivity, operational efficiency, and business decision‑making.
• Build intelligent automation workflows using Generative AI, machine learning, AI agents, APIs, workflow orchestration, and enterprise data platforms.
• Develop AI-powered assistants, custom copilots, recommendation engines, knowledge solutions, and decision-support capabilities.
• Integrate AI services and intelligent automation into enterprise applications, reporting solutions, and operational workflows.
• Develop predictive analytics, intelligent auditing, anomaly detection, forecasting, optimization, and recommendation solutions.
• Identify opportunities to reduce manual effort through automation and AI-driven process transformation.
• Collaborate with business stakeholders to evaluate, prioritize, and implement high-value AI initiatives.
• Support AI governance, monitoring, testing, and continuous improvement to ensure scalable and responsible AI adoption.
• Design and support data pipelines and analytics solutions that leverage IoT, telemetry, operational, and industrial data sources.
• Develop near real-time operational monitoring, alerting, and intelligence capabilities that improve visibility into business and field operations.
• Support predictive maintenance, condition-based monitoring, asset performance management, and operational optimization initiatives.
• Build scalable streaming and event-driven data solutions capable of processing high-volume operational and telemetry data.
• Develop dashboards, analytics, and operational intelligence solutions that provide visibility into asset health, utilization, reliability, performance trends, and business KPIs.
• Collaborate with Operations, Engineering, and business teams to identify opportunities to improve efficiency, reduce downtime, and optimize performance through data, AI, and automation.
• Support the evolution of connected asset, digital operations, and industrial intelligence capabilities across Clean Energy's fueling and operational network.

Data Governance & Quality

• Support enterprise data governance, reporting certification, and data quality initiatives.
• Develop automated monitoring, validation, reconciliation, and exception-reporting capabilities.
• Assist with metadata management, lineage tracking, documentation, and governance practices.
• Partner with business stakeholders to improve the accuracy, consistency, reliability, and trustworthiness of enterprise data assets.

Business Intelligence & Analytics

• Semantic model and dataset development.
• DAX and Power Query.
• Dashboard design and optimization.
• Reporting automation and self-service analytics.

Solution Delivery

• Translate business requirements into practical and scalable technical solutions.
• Participate in all phases of solution delivery including discovery, design, development, testing, deployment, and production support.
• Collaborate closely with cross-functional teams to ensure solutions align with business objectives.
• Contribute to technical documentation, knowledge sharing, and continuous improvement initiatives.

Technical Skills

• Advanced SQL development and optimization.
• ETL/ELT pipeline design and development.
• API design, integration, and data exchange patterns.
• Data modeling and transformation techniques.
• Structured and semi-structured data processing.
• Power BI development and administration.
• DAX and Power Query.
• Delta Lake and Lakehouse architecture.
• Unity Catalog.
• Cloud-based storage and integration technologies.
• Azure DevOps, DataOps, CI/CD, and platform automation.

Artificial Intelligence & Automation

• Generative AI technologies and AI-assisted workflows.
• AI agents, copilots, intelligent automation, and workflow orchestration.
• Machine learning and predictive analytics.
• Statistical analysis and data science methodologies.
• Model deployment, monitoring, and lifecycle management.

IoT & Operational Analytics

• IoT, telemetry, industrial, or operational data environments.
• Streaming and near real-time data processing.
• Operational intelligence and monitoring solutions.
• Predictive maintenance and asset monitoring.

Business & Technical Execution

• Ability to independently manage technical workstreams from concept through deployment and support.
• Strong organizational skills with the ability to manage multiple priorities simultaneously.
• Focus on delivering business value through practical and scalable solutions.

Problem Solving & Solution Design

• Ability to translate complex or ambiguous business requirements into actionable technical solutions.
• Strong analytical and troubleshooting skills across data, analytics, and platform environments.
• Comfortable working across both technical and business domains.
• Ability to communicate effectively with technical and non-technical audiences.
• Strong stakeholder engagement and relationship-building skills.
• Collaborative approach to solution development and problem solving.
• Proactively identifies opportunities to improve automation, efficiency, data quality, and reporting capabilities.
• Maintains awareness of emerging technologies, analytics techniques, and AI capabilities.
• Committed to learning, innovation, and continuous improvement.

Qualifications Required

• 7–10+ years experience
• Cloud analytics architecture
• Advanced SQL and Python

Preferred

• Power BI administration and governance experience.
• PySpark and distributed processing experience.
• Data governance and data quality experience.
• Experience supporting AI and machine learning solutions.
• IoT, telemetry, or operational analytics experience.
• Experience with enterprise data modernization initiatives.

Why Join Our Team?

This role offers the opportunity to work on a diverse portfolio of high-impact initiatives spanning data engineering, AI, analytics, automation, operational intelligence, and digital transformation. You will contribute to projects involving Azure Databricks, Power BI, enterprise reporting, AI-powered automation, predictive analytics, IoT data platforms, data governance, and cloud analytics solutions.

Working alongside business and technology teams across the organization, you will help modernize data processes, enhance analytical capabilities, improve decision-making, and support Clean Energy Fuels' continued investment in data, analytics, and AI-driven innovation.

Supervisory Responsibilities

This position has no supervisory responsibilities.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Quality: Consistently produces high quality work (accurate, neat, and thorough). Strives to improve productivity, processes, and quality. Demonstrates strong knowledge and skills related to the job. Presents a professional image with dress, demeanor, and manners. Maintains clean workspace, company equipment, and company vehicles. Safety is a high priority; performs job safely.

Communication: Communicates clearly, concisely, effectively, professionally and timely. Exhibits good listening and comprehension skills. Keeps others appropriately informed and shares ideas even when unpopular. Listen to what others have to say. Maintains open and active communication with colleagues. Effectively uses knowledge and experience in asking, probing, and anticipating issues to ensure quality is provided.

Teamwork: Fosters the spirit of working with each other. Displays respect, courtesy, politeness, tact, and openness. Handles conflict in an appropriate and professional manner. Builds relationships, promotes cohesiveness, models collaboration with others. Considers impact and issues for our customer and other departments. Engages other impacted departments early for solutions.

Persistence: Develops workable alternatives and solutions. Exhibits persistence in following assignments through completion. Promote process improvements.

Reliable: Responds in a timely manner. Is honest, ethical, value-driven and trustworthy. Keeps commitments made, completes assignments, and meets deadlines. Accountable-- Takes responsibility for your own actions and performance. Meets attendance and punctuality guidelines. Available and accessible.

Entrepreneurial: Takes initiative and appropriate action. Is engaged and committed to achieving the company’s mission. Pursues better ways to get things done and takes appropriate risks. Keeps up to date with competitor information and market trends. Controls costs and thinks in terms of profit, loss and added value. Is committed to the satisfaction of customers.

Passion: Is excited and creates enthusiasm about the company’s future. Promotes a sense of company pride. Displays sense of pride in