Senior Data Warehouse Engineer

📋 Description

• Architect, build, and maintain scalable, high-performance data warehouse solutions
• Develop reliable and well-documented data pipelines and ELT processes
• Design and implement efficient data models and transformations using dbt and SQL
• Continuously optimize data warehouse performance through query optimization, partitioning
• Monitor, troubleshoot, and improve warehouse infrastructure while balancing performance
• Partner with data analysts and data scientists to transform raw data into actionable insights and

🎯 Requirements

• Extensive experience designing, implementing, and optimizing data warehouses in cloud environments
• Strong hands-on expertise with data modeling and transformation tools, particularly dbt
• Excellent SQL skills and experience with modern columnar data warehouses such as ClickHouse
• Experience with data pipeline orchestration platforms such as Prefect or Airflow
• Strong understanding of scalable data pipelines, ELT processes, data quality, and performance
• Experience with modern software engineering practices (version control, code reviews, testing

🎁 Benefits

• US-based cash compensation of $152,000–$205,000
• Compensation ranges benchmarked by role, level, function, and location
• Fully remote work within the United States
• Opportunity to work within a globally distributed, 100% remote organization
• High level of ownership and autonomy
• Work with modern data warehouse, cloud, streaming, orchestration, and infrastructure technologies