Senior Data Warehouse Engineer

📋 Description

• Architect, build, and maintain scalable, high-performance data warehouse solutions that support
• Develop reliable and well-documented data pipelines and ELT processes while maintaining strong
• Design and implement efficient data models and transformations using tools such as 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 working with modern columnar data warehouses such as
• Experience with data pipeline orchestration platforms such as Prefect or Airflow.
• Strong understanding of scalable data pipelines, ELT processes, data quality, and warehouse
• Experience with modern software engineering practices, including version control, code reviews

🎁 Benefits

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