Senior Data Product Engineer

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

WHOOP is hiring a Senior Data Products Engineer to build trusted, reusable data products that power decision-making across the company. Sitting at the intersection of software engineering, analytics, and product thinking, you will transform raw data into well-modeled, discoverable, and governed data products that accelerate experimentation, machine learning, operational reporting, and strategic decision-making. You will partner closely with Product, Analytics, Data Science, Engineering, and business stakeholders to ensure WHOOP has a consistent, trusted foundation for understanding its data.

As a senior member of the team, you'll help establish modern data product practices while mentoring others and raising the bar for engineering quality across the organization.

• Design, build, and own business-critical data products, transforming raw operational data into trusted, reusable datasets that enable analytics, experimentation, and machine learning.
• Develop scalable dimensional models, semantic layers, and dbt transformations that create consistent business logic and trusted metrics across WHOOP.
• Partner closely with Product, Analytics, Data Science, and Engineering teams to understand business needs, translate ambiguous requirements into well-designed data products, and ensure those products evolve alongside the business.
• Establish engineering best practices for data modeling, testing, documentation, lineage, and governance, improving trust, discoverability, and maintainability across the analytical ecosystem.
• Collaborate with Data Engineers and Data Platform Engineers to improve upstream data quality, influence data contracts, and ensure reliable delivery of business-critical datasets.
• Drive adoption of reusable data products and self-service analytics capabilities, reducing duplication of business logic and enabling teams to move faster with confidence.
• Mentor engineers and analysts on modern data modeling techniques, engineering best practices, and data product thinking through technical leadership, design reviews, and collaborative problem solving.
• Leverage AI tools to accelerate development, improve documentation, enhance data quality, and increase engineering productivity while maintaining rigorous validation, governance, and quality standards.

• Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or a related technical field, or equivalent practical experience.
• 5+ years of experience designing and building production data solutions with a strong emphasis on analytics engineering, data modeling, or data product development.
• Expert-level SQL skills and extensive experience designing dimensional models and analytical data structures that balance usability, performance, and maintainability.
• Professional experience building data transformation frameworks using dbt or similar modern data transformation tools.
• Strong understanding of semantic modeling, metric design, and data governance principles, with experience creating trusted business-facing datasets.
• Experience working with modern cloud data warehouses such as Snowflake and partnering with data engineering teams to build scalable analytical solutions.
• Demonstrated ability to lead complex cross-functional initiatives, balancing technical excellence with business outcomes and stakeholder needs.
• Experience mentoring engineers and influencing technical standards through design reviews, documentation, and collaborative leadership.
• Excellent communication skills with the ability to explain technical concepts…