Whoop
Whoop2mo ago

Data Engineer II

United StatesBostonmid
EngineeringData ScienceData EngineeringData Engineer
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Quick Summary

Overview

At WHOOP, we are 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.

Technical Tools
EngineeringData ScienceData EngineeringData Engineer
At WHOOP, we are 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 an experienced Data Engineer who thrives on innovation and takes ownership of building and evolving data systems at scale. In this role, you will design, build, and optimize scalable data pipelines and platforms that power our data driven insights. You will play a key role in shaping robust ELT architectures, improving reliability and performance, and influencing technical direction across the data platform. With a strong focus on modern AWS infrastructure and tooling such as Snowflake, DBT, Kafka, and Spark, you will help elevate our analytical and operational capabilities. If you are excited about using AI to improve developer productivity and drive meaningful impact, we want you to join our team.

  • Design, build, and operate scalable ELT pipelines using Python and PySpark, with a focus on reliability, performance, and maintainability
  • Own and improve batch and streaming data systems using Spark and Kafka, including monitoring and resolving production data issues
  • Develop and optimize Snowflake data models and DBT transformations to support analytics, experimentation, and trusted metrics
  • Partner with data scientists, analysts, and product teams to translate business requirements into well-designed data solutions
  • Contribute to the evolution of the data platform by improving observability, data quality, and engineering best practices
  • Leverage AI tools to accelerate development, improve code quality, and automate repetitive data engineering workflows
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • 3-5 years of professional experience building and operating ETL/ELT pipelines in production environments
  • Strong proficiency in SQL and hands-on experience with modern data warehousing concepts and dimensional modeling
  • Professional experience using Python for data engineering, including writing clean, testable, and reusable code
  • Experience with DBT for data modeling, testing, and documentation is preferred
  • Experience with Spark and Kafka for batch or streaming data processing is preferred
  • Strong problem-solving skills, clear communication, and the ability to work independently while collaborating in an agile environment
  • Comfort using AI tools such as Copilot or ChatGPT to improve efficiency throughout the software development lifecycle
  • Listing Details

    Posted
    February 4, 2026
    First seen
    March 25, 2026
    Last seen
    April 11, 2026

    Posting Health

    Days active
    16
    Repost count
    0
    Trust Level
    45%
    Scored at
    April 11, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trustcandidate experience
    Whoop
    Whoop
    lever

    WHOOP is the performance optimization system that helps elite athletes and teams win.

    Employees
    125
    Founded
    2012
    Domain
    whoop.com
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    WhoopData Engineer II