Senior Data Engineer

Experteer Overview In this Senior Data Engineer role, you will lead design and ownership of scalable data pipelines and data models that power analytics, experimentation, and ML use cases at WHOOP. You’ll partner with Data Science, Analytics, Product, and Engineering teams to build reliable, well-governed data solutions and raise the technical bar. You’ll tackle cross-functional data initiatives, optimize data quality and observability, and mentor engineers to improve engineering standards. This position offers the chance to shape data architecture at scale and accelerate data-driven decision making. You will work with cutting-edge tools to accelerate development while upholding strong validation and security. Compensation / Benefits * Design, implement, and own scalable ELT pipelines and data workflows using Python, PySpark, SQL, and cloud tech * Design and optimize data models and Snowflake architectures for reliable, performant data consumption * Own complex cross-functional data initiatives from requirements to production * Partner with Product, Engineering, Analytics, Data Science, and Data Platform Engineering to ensure reliable and scalable data systems * Drive improvements in data quality, observability, testing, documentation, and operational excellence * Mentor Data Engineers through design reviews, coaching, and hiring processes * Contribute to technical direction by evaluating new technologies and simplifying the data ecosystem * Leverage AI tools and automation to accelerate development while maintaining rigorous standards Tasks * 5+ years of professional experience designing, building, and operating production data engineering systems * Proficiency with Python, SQL, and modern ELT development practices with observable pipelines * Experience designing and optimizing data warehouse solutions in Snowflake or comparable cloud platforms * Experience building and maintaining data transformation frameworks using dbt or similar tooling * Experience with distributed data processing technologies such as Spark or Kafka * Ability to lead complex technical initiatives from planning to production support * Experience mentoring engineers and improving engineering quality * Strong communication skills to explain technical concepts and align stakeholders * Commitment to leveraging AI tools while maintaining high-quality standards Key requirements * competitive base salary * equity * benefits * meaningful equity package * career growth * mission-driven environment

Design, from requirements to production * Partner with Product, Engineering, Analytics, Data Science, and Data Platform Engineering to ensure reliable and scalable data systems * Drive improvements in data quality, observability, testing, documentation, and operational excellence * Mentor Data Engineers through design reviews, coaching, and hiring processes * Contribute to technical direction by evaluating new technologies and simplifying the data ecosystem * Leverage AI tools and automation to accelerate development while maintaining rigorous standards Tasks * 5+ years of professional experience designing, building, and operating production data engineering systems * Proficiency with Python, SQL, and modern ELT development practices with observable pipelines * Experience designing and optimizing data warehouse solutions in Snowflake or comparable cloud platforms * Experience building and maintaining data transformation frameworks using dbt or similar tooling * Experience with distributed data processing technologies such as Spark or Kafka * Ability to lead complex technical initiatives from planning to production support * Experience mentoring engineers and improving engineering quality * Strong communication skills to explain technical concepts and align stakeholders * Commitment to leveraging AI tools while maintaining high-quality standards Key requirements * competitive base salary * equity * benefits * meaningful equity package * career growth * mission-driven environment