Sr. Data Engineer

• Automate end-to-end ML operations — Build and maintain pipelines covering data collection, preprocessing, model training, and deployment
• Optimize system performance — Monitor, profile, and enhance data processing workflows to reduce latency and improve efficiency
• Implement robust monitoring — Set up real-time alerts and anomaly detection for critical data feeds
• Scale infrastructure — Leverage distributed computing and parallel processing to handle growing data volumes
• Drive architectural improvements — Identify and rebuild systems for better performance, maintainability, and cost efficiency
• Design for the future — Build data infrastructure that scales seamlessly with business growth

This role contributes to grid modernization and the energy transition by building data infrastructure that powers forecasting capabilities, enhancing grid reliability and optimizing asset performance for power and utility companies.

• Senior-level expertise in backend services and data engineering using Python
• Hands-on experience with cloud infrastructure (Kubernetes/Docker) and data services (GCP, AWS, or Azure)
• Proven track record building production data pipelines and backend services with measurable business impact
• Experience working in large codebases with focus on refactoring and systematic improvements
• Background building scalable data monitoring and observability systems

• Competitive base salary
• Stock option package in a rapidly growing, venture-backed company
• Comprehensive health benefits (medical, dental, and vision)
• 401k Plan (for US based employees)
• Annual company retreat
• Flexible PTO policy
• Remote-first company and culture

Amperon is the leading energy forecasting company positioned at the intersection of energy data and AI, delivering demand, renewable generation, and price forecasts to power and utility companies to enhance grid reliability and optimize asset performance during the energy transition.