Senior Analytics Engineer

📋 Description

• Lead the development and continuous improvement of enterprise data models and warehouse services
• Build strong relationships with analytics teams and business leaders to understand business
• Design, develop, and maintain enterprise data warehouse infrastructure, including data models and
• Build and optimize data models supporting operational reporting, strategic decision-making
• Contribute to the implementation and enhancement of a high-performing Snowflake data warehouse
• Establish and apply data engineering best practices to improve data accuracy, consistency

🎯 Requirements

• Bachelor's degree or higher in Computer Science, Information Systems, Mathematics, or equivalent
• At least 3 years of experience in data modeling and data warehouse development using tools such as
• Expert-level SQL skills and strong understanding of cloud data warehouse design principles
• At least 2 years of professional experience with Snowflake, Amazon Redshift, Azure Data Factory, or
• At least 2 years of experience with Git, code reviews, and CI/CD environments
• Ability to communicate effectively with business leaders, analytics professionals, and engineers

🎁 Benefits

• Base salary: $131,400–$157,300 per year, depending on location, experience, and performance
• Potential eligibility for annual bonuses, short- and long-term incentives, and program-specific
• Medical, dental, and vision insurance
• Life insurance and 24/7 medical hotline
• 401(k) plan with employer matching
• Paid holidays and flexible paid time away