Data Engineer

WHOOP

WHOOP aims to enhance human performance by giving members insights into their bodies and lives. A Data Engineer is needed to lead innovative data operations through robust ETL/ELT processes and cutting-edge AWS infrastructure management. The role involves integrating modern data tools to strengthen analytical capabilities.

In this role you can expect to have the responsibilities:

• Develop and maintain ELT and data pipelines using Python and Pyspark.
• Utilize Kafka and Spark for both real-time and batch data processing.
• Implement and optimize Snowflake for data warehousing.
• Manage transformation models with DBT.
• Architect and manage AWS infrastructure for scalable data processing.
• Use AI tools to automate tasks and enhance efficiency.
• Collaborate with cross-functional teams to address data needs.
• Document processes and improve the data platform.

This role requires you to have:

• Experience in designing and implementing ETL/ELT processes.
• Strong SQL skills and understanding of data warehousing.
• Familiarity with AI tools to drive software development efficiency.
• Bachelor’s degree in Computer Science, Engineering, or related field.

You would benefit from having:

• Proficiency in DBT for data modeling.
• Hands-on experience with Kafka and Spark.
• Knowledge of Docker, Kubernetes, and infrastructure-as-code.
• Strong problem-solving, communication, and collaboration skills.

The role requires relocation to Boston, MA. WHOOP supports diversity and encourages applications from candidates with diverse backgrounds. WHOOP is an Equal Opportunity Employer and complies with employment laws including E-verify in Massachusetts.