Data Warehouse Engineer
LevelTen Energy is seeking an experienced Data Warehouse Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining a robust Data Warehouse on the Google Cloud Platform (GCP) with a primary focus on Google BigQuery. You will play a pivotal role in shaping our data infrastructure to support data analytics and business intelligence needs.
- Proven experience in data engineering roles with a strong track record in designing, implementing, and maintaining Data Warehouses, particularly on the Google Cloud Platform and BigQuery.
- Expertise in SQL, with a focus on optimizing queries for performance and ensuring secure connections.
- Proficiency in data modeling, ETL (Extract, Transform, Load) processes, and data warehousing.
- In-depth knowledge of data governance and security principles.
- Familiarity with cloud-based data storage and processing technologies.
- Strong problem-solving skills and meticulous attention to detail.
- Exceptional communication and collaboration abilities.
- Data Infrastructure Development: Design, build, and maintain our data infrastructure to meet data analytics and business intelligence requirements.
- GCP and BigQuery Utilization: Work with GCP and BigQuery to ensure efficient data collection, processing, and accessibility for analysis and reporting.
- Data Pipeline Development: Design, develop, and maintain data pipelines using GCP services.
- BigQuery Expertise: Leverage BigQuery for data warehousing and analytics, optimizing queries, and ensuring efficient data storage and retrieval.
- Data Modeling: Design and implement data models in BigQuery to ensure structured and organized data for efficient querying and reporting.
- Data Quality Assurance: Implement data quality checks and validation processes to guarantee data accuracy and reliability.
- Data Governance and Security: Establish data governance and security policies in line with industry standards.
- Performance Monitoring and Optimization: Continuously monitor data pipelines, identify and resolve bottlenecks, optimize SQL queries, and ensure cost-effective data processing.
- Documentation: Maintain comprehensive documentation on the BigQuery environment, data engineering processes, pipeline configurations, and best practices.
- Knowledge Sharing: Collaborate with the team and provide guidance and consulting where necessary.
- The estimated compensation for this position is $110,000 -130,000 base per year. In addition, this position is eligible for an annual bonus and an equity grant.
Benefits / Perks
- Full Medical, Vision and Dental coverage
- Wellness Credit
- Flexible vacation policy
- 11 paid company holidays
In the Seattle office:
- Awesome location in Fremont, outside of the downtown Seattle chaos
- Casual dress code
- Commuter benefits
- Standing desk options
- Regular company-sponsored happy hours
- Hybrid in-office/work from home schedule
- Monthly catered lunch
About LevelTen Energy
LevelTen Energy is the leading provider of transaction infrastructure for the renewable energy economy. Our platform delivers buyers, sellers, advisors, and financiers the automation software, data management, and standardized contracts needed to facilitate faster, safer renewable energy transactions. LevelTen’s marketplace of renewable energy power purchase agreements is the world’s largest, with more than 4,000 offers spanning 21 countries in North America and Europe. LevelTen’s CFO-Ready Analytics automatically calculate more than a billion data points every day, providing our partners with leading-edge, real-time risk and value insights at modern market scale. Together, LevelTen and our partners share #OneGoal to accelerate the clean energy transition. Visit us at LevelTenEnergy.com to learn more.
Equal Opportunity Employer
LevelTen Energy is an Equal Opportunity Employer committed to a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, marital status, age, sexual orientation, gender identity or expression, or any other legally protected status.