Data Engineer, Solutions Architecture

We are seeking a talented 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 technology, 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 cutting-edge data platforms, including Snowflake, Dagster, dbt, and Modal.

• 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:
  
  2-4 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 or Airflow for pipeline scheduling, dependency management, and workflow automation
• 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: 1-2+ years of experience with continuous integration and continuous deployment practices and tools (Git, Git Hub Actions, Git Lab CI, or similar)
• Database Technologies:
  Advanced SQL skills, database design principles, and experience with multiple database…