CleanChoice Energy · 1 day ago
Principal Data Engineer
United States
Full-time
Remote
Lead/Staff
8+ years expCleanChoice Energy is dedicated to transforming the U.S. electricity market by providing 100% clean, pollution-free energy. They are seeking a Principal Data Engineer to lead the Data Engineering team, architect scalable data infrastructure, mentor engineers, and collaborate with cross-functional teams to support strategic clean energy initiatives.
EnergyRenewable EnergyClean EnergySolarWind Energy
Responsibilities
Design, develop, and optimize data architecture and pipelines that adhere to ETL/ELT principles and business goals in support of strategic clean energy initiatives
Architect complex workflows using DBT (Data Build Tool) to transform raw data into business-ready analytics and insights
Build and maintain production data pipelines using Python, DBT, Matillion, and Snowflake with a systematic approach to planning, creating, and maintaining data architectures
Leverage AI tools (such as ChatGPT, Claude, and other LLM-based assistants) extensively to accelerate development, improve code quality, troubleshoot issues, and enhance team productivity
Establish technical standards, patterns, and best practices for data engineering across the organization, including responsible AI tool integration
Lead technical design reviews and provide architectural guidance on data projects
Optimize data warehouse performance, query efficiency, and cost management within Snowflake
Evaluate and recommend new tools and technologies (including AI-powered solutions) to enhance our data platform capabilities
Lead, mentor, and develop a team of data engineers, fostering a culture of continuous learning and technical excellence
Conduct performance evaluations, career development discussions, and create meaningful growth opportunities for team members
Promote knowledge sharing through documentation, code reviews, and technical mentoring sessions, including best practices for using AI tools responsibly and effectively
Collaborate with engineering leadership on hiring, onboarding, and team development initiatives
Lead by example in code quality, testing practices, testing frameworks, and adherence to engineering standards
Model effective use of AI tools (ChatGPT, Claude, and similar) to enhance productivity while maintaining code quality and security standards
Implement and maintain data quality frameworks and comprehensive monitoring to ensure reliability and trust in critical data assets
Develop systematic approaches to data governance and establish data modeling standards across teams, and supporting efforts around Metadata Management
Ensure alignment on data access policies and best practices for data management
Partner with Analytics, Business Intelligence, Data Science, Product, and business teams to understand data requirements and translate them into technical specifications
Communicate complex technical concepts effectively to both technical and non-technical stakeholders
Work with agile teams to drive alignment on data initiatives and strategic priorities
Champion best practices in data engineering and foster a collaborative work environment
Qualification
Required
8+ years of professional data engineering experience, with at least 3 years in a senior or lead role
Demonstrated expertise in Snowflake data warehouse architecture and optimization
Advanced proficiency in Python for data engineering, pipeline development, and software engineering practices
Advanced experience with DBT (Data Build Tool) for building and maintaining production data models and transformation logic
Hands-on production experience with Matillion for ETL/ELT orchestration and data integration
Proven track record leading and developing engineering teams, mentoring engineers, and driving technical initiatives
Deep understanding of data modeling, dimensional design, and ETL/ELT patterns and best practices
Strong knowledge of SQL with ability to write optimized, complex queries and analyze query performance
Experience with version control systems (Git) and CI/CD pipelines in production environments
Excellent problem-solving and debugging skills for complex data infrastructure issues
Strong communication, collaboration, and mentoring abilities
Experience with relational database management and data transformation
Proficiency with AI tools (such as ChatGPT, Claude, and other LLM-based assistants) for code development, documentation, problem-solving, and productivity enhancement
Knowledge of energy retail and/or power generation is a plus (but not required)
Preferred
DBT Certification is highly desired
Experience implementing comprehensive data quality testing and monitoring solutions
Background in Agile/Scrum development methodologies
Knowledge of streaming data platforms and real-time data processing
Contributions to open-source data engineering projects
Experience with additional ETL/ELT tools and platforms
Benefits
Robust benefits package
Company
CleanChoice Energy
CleanChoice Energy is a clean energy supplier whose mission is to make 100% renewable energy available to everyone.
51-200 employees
H1B Sponsorship
CleanChoice Energy has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$11MKey Investors
Whitehorse CapitalMatthew Palevsky
2023-04-28Acquired
2021-10-20Debt Financing
2014-01-07Series A· $11M
Leadership Team
Tom Matzzie
Founder & CEO
Christopher Smith
Chief Financial Officer
Recent News
pv magazine USA
2025-08-13
2025-07-15
Company data provided by crunchbase