Senior Data Engineer, Solutions Architecture
Clearway Energy, Inc.
- United States
- United States
Über
Scottsdale, Arizona, United States What The Role Is
We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab. What You'll Be Doing
Analytics Infrastructure & Data Warehouse Management
Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes Optimize query performance and resource utilization to control costs and improve processing speed Data Pipeline Development & Orchestration
Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics Implement workflow automation and dependency management for critical business operations Data Transformation & Analytics Support
Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics Support advanced analytics initiatives through proper data preparation and feature engineering Data Quality & Governance
Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response CI/CD & DevOps
Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers Implement automated testing and deployment automation for data pipelines and analytics applications Manage version control and infrastructure as code practices Cross-functional Collaboration
Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting Translate business requirements into technical solutions and communicate data insights to stakeholders Documentation & Security
Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets Implement role-based access controls, data encryption, and security best practices across the data stack Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting What You'll Bring
Experience: 4+ years of hands-on data engineering experience in production environments Education: Bachelor's degree in Computer Science, Engineering, or a related field Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations Programming: Strong Python and SQL skills for data processing and automation CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus) Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code Data Integration: Experience with APIs, various data connectors, and formats Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments Problem-Solving: Strong analytical and troubleshooting skills with attention to detail Communication: Ability to work effectively with both technical and business stakeholders Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight What Would Be Nice
Experience in the energy, utilities, or financial services industries Knowledge of energy trading concepts, market data, or asset management Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA) Experience with infrastructure as code (Terraform, CloudFormation)
Sprachkenntnisse
- English
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