This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Analytics Engineer based in the United States. Join a data-driven engineering team responsible for building and maintaining the enterprise data infrastructure that powers critical business decisions. As a Senior Analytics Engineer, you will develop reliable data models, transformation pipelines, and cloud-based warehouse solutions that support operational and strategic initiatives. Working closely with finance teams, business leaders, and analytics professionals, you will help deliver accurate performance metrics and commission calculations for thousands of employees. You will contribute to the evolution of a high-performance data warehouse environment, with a strong focus on Snowflake and modern data engineering practices. This role offers the opportunity to optimize data architecture, improve system reliability, and turn complex data requirements into actionable insights. Your technical expertise and business judgment will help shape scalable solutions across the organization. Accountabilities: As a Senior Analytics Engineer, you will lead the development and continuous improvement of enterprise data models and warehouse services, ensuring that business teams have access to accurate, timely, and dependable data. Build strong relationships with analytics teams and business leaders to understand business objectives, strategic initiatives, and data requirements. Design, develop, and maintain enterprise data warehouse infrastructure, including data models and transformation pipelines. Build and optimize data models that support operational reporting, strategic decision-making, performance KPIs, and employee commission calculations. Contribute to the implementation and ongoing enhancement of a high-performing Snowflake data warehouse serving thousands of users and diverse business needs. Establish and apply data engineering best practices to improve data accuracy, consistency, availability, and reliability. Develop efficient, scalable SQL transformations and data solutions aligned with cloud data warehouse design principles. Evaluate existing data architecture and deployment practices to identify opportunities for improved performance, efficiency, and resilience. Collaborate with engineers and business stakeholders to prioritize high-impact initiatives and balance technical requirements with business needs. Apply version control, code reviews, and CI/CD practices to support maintainable, reliable, and well-managed data development. Contribute to the continuous evolution of data infrastructure, ensuring that warehouse services meet changing enterprise requirements. Requirements: The ideal candidate is an experienced analytics or data engineer with strong SQL and data modeling skills, hands-on cloud data warehouse experience, and the ability to translate business needs into practical technical solutions. Hold a bachelor's degree or higher in Computer Science, Information Systems, Mathematics, another technical discipline, or possess equivalent relevant professional experience. Have at least 3 years of experience in data modeling and data warehouse development using tools such as dbt, SSIS, Matillion, or similar technologies. Demonstrate expert-level SQL skills and a strong understanding of cloud data warehouse design principles. Have at least 2 years of professional experience with Snowflake, Amazon Redshift, Azure Data Factory, or Google BigQuery. Snowflake experience is preferred. Bring at least 2 years of experience working with Git, code reviews, and continuous integration and continuous deployment (CI/CD) environments. Be able to communicate effectively with business leaders, analytics professionals, and engineers. Demonstrate sound technical judgment and business acumen, with the ability to distinguish essential requirements from lower-priority enhancements. Be comfortable evaluating trade-offs and prioritizing solutions based on business impact, scalability, and reliability. Preferred qualifications: Experience working with SQL Server Integration Services (SSIS). Familiarity with scripting or programming languages such as Python, .NET, or R. Experience supporting enterprise-scale data platforms and a broad range of business analytics use cases. Benefits: Base salary: $131,400–$157,300 per year, depending on factors such as location, experience, and performance. Additional compensation: Potential eligibility for annual bonuses, short- and long-term incentives, and program-specific awards. Health coverage: Medical, dental, and vision insurance. Life and medical support: Life insurance and access to a 24/7 medical hotline. Retirement savings: 401(k) plan with employer matching. Flexible time off: Paid holidays and flexible paid time away. Food and refreshments: Complimentary daily lunch and drinks on site. Employee discounts: Discounts available for employees, friends, and family. On-site wellness and recreation: Access to an on-site health clinic, gym, and gaming tables. Employee Resource Groups: Opportunities to connect with colleagues and participate in employee communities. Additional benefits: Potential access to flexible spending accounts and other employee benefit programs. Collaborative work environment: An opportunity to contribute to enterprise data initiatives while working with cross-functional teams.