Note: The job is a remote job and is open to candidates in USA. Clean Energy Fuels is North America's largest provider of renewable natural gas and alternative fueling solutions for the transportation industry. They are seeking a Senior Data Science, AI & Analytics Engineer to design, develop, and support AI and analytics solutions that enhance operational performance and decision-making across the organization.
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
- 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
- Power BI development
- Semantic model and dataset development
- DAX and Power Query
- Dashboard design and optimization
- Reporting automation and self-service analytics
- 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
Skills
- 7–10+ years experience
- Enterprise-scale data platforms
- Cloud analytics architecture
- API integration development
- Advanced SQL and Python
- 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
Company Overview
Company H1B Sponsorship