At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Data Engineering Technical Lead to help build and scale our data infrastructure. In this role, you will design, develop, and maintain cloud-based data solutions that enable efficient, scalable, and reliable data workflows across the organization. You will collaborate with cross-functional teams, optimize data pipelines, and leverage AI-powered tools to enhance automation and data driven decision making. As a technical leader, you will also mentor engineers and contribute to the strategic growth of WHOOP’s data platform. This role will have the opportunity to formally manage a small team if desired.
RESPONSIBILITIES:Design, develop, and maintain cloud-based infrastructure to support large scale ELT processes and data pipelines.Write and maintain high-quality, reusable code in Python and Pyspark to develop and maintain ELTs and data pipelines.Partner closely with Analysts, Data Scientists, Software Engineers, and external partners to facilitate seamless data movement and integration.Implement automated CI/CD pipelines for deployment, monitoring, and maintenance of data workflows.Proactively troubleshoot, debug, and optimize performance in production environments.Stay current with industry trends in cloud computing and data engineering, implementing best practices to enhance scalability and reliability.Mentor and coach a small team of engineers, fostering technical growth and collaboration.Leverage AI tools to improve data workflows, pipeline monitoring, and operational efficiency.QUALIFICATIONS:Bachelor’s Degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience.Proven experience designing and managing complex ETL/ELT pipelines for large-scale data processing.Advanced skills in Python; additional experience in Pyspark preferred.Familiarity with messaging systems like Kafka, queuing systems like SQS, and datalake table formats like Iceberg/Delta is preferred.Strong understanding of cloud computing concepts, tools, and design patterns with hands-on experience in leveraging services like AWS S3, Glue, MSK, etc for data platform development.Experience mentoring engineers. Preferred experience leading small teams and driving a culture of collaboration and continuous improvement.Excellent ability to work with cross-functional teams, including Analysts, Data Scientists, Software Engineers, etc to deliver high-impact data solutions.Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. 
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in  to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.