Senior Data Engineer, Solutions Architecture
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-24
Listing for:
Clearway Energy
Full Time
position Listed on 2026-06-24
Job specializations:
-
IT/Tech
Data Engineering, Data Security, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Senior Data Engineer, Solutions Architecture
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 Git Lab.
WhatYou 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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 Git Lab CI/CD required (Git Hub Actions experience a plus)
- Database…
Position Requirements
10+ Years
work experience
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