Note: The job is a remote job and is open to candidates in USA. TerraForm Power is a leading owner, operator, and producer of renewable energy across North America. The Database Engineer / Senior Database Engineer is responsible for designing, developing, and supporting enterprise-scale data and analytics solutions across TerraForm Power's renewable energy portfolio.

Responsibilities

• Design, develop, and maintain enterprise-scale Python data pipelines within Databricks and Delta Lake environments
• Design resilient ETL frameworks supporting production-grade renewable energy analytics
• Build scalable ingestion pipelines integrating SCADA systems, weather providers, market data, and third-party vendor APIs
• Develop reusable engineering frameworks, shared libraries, and automation tools to improve platform maintainability
• Optimize Spark workloads, Delta Lake performance, and large-scale data processing pipelines
• Design robust data models, schema evolution strategies, and data governance standards
• Design analytical solutions supporting lost production, curtailment, availability, degradation, and operational performance analysis
• Integrate satellite weather datasets, forecasting services, and operational telemetry into engineering workflows
• Develop forecasting, regression, normalization, and reconciliation models supporting asset performance evaluations
• Develop and support fleet-wide engineering dashboards and performance monitoring tools
• Develop and maintain data quality frameworks including automated validation, reconciliation, anomaly detection, and monitoring
• Implement engineering best practices for testing, logging, exception handling, observability, and deployment
• Maintain technical documentation, metadata, and data dictionaries
• Participate in architecture reviews, code reviews, and engineering design discussions
• Contribute to the continuous improvement of platform reliability, scalability, and maintainability

Skills

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Electrical Engineering, Renewable Energy Engineering, or a related technical discipline
• 5+ years of experience developing production software, data platforms, or engineering analytics solutions. Candidates with significant additional experience and demonstrated technical leadership may be considered for the Senior Database Engineer level
• Strong proficiency in Python with experience developing production-quality software
• Strong SQL skills with experience designing and optimizing analytical data models
• Experience developing ETL pipelines processing large-scale structured and time-series datasets
• Strong understanding of distributed data processing concepts and cloud-based analytics platforms
• Excellent analytical, communication, and problem-solving skills
• Ability to work independently while collaborating effectively with cross-functional teams
• Experience with utility-scale solar, wind, or battery storage operations
• Experience with Databricks, Apache Spark, Delta Lake, and cloud-native data platforms
• Experience integrating SCADA systems, operational technologies, and third-party vendor APIs
• Experience building engineering applications using Streamlit or similar Python frameworks
• Experience with statistical modeling, regression analysis, forecasting, or machine learning

Company Overview

Company H1B Sponsorship